Computer Architecture

COORDINATOR

Careglio, Davide

CONTACT

Doctoral Unit - ICT North Campus Management and Support Unit (UTGCNTIC). C. Jordi Girona, 1-3. Building B4-003 (North Campus)
Tel.: 934 054 198
E-mail: doctorat.ac@upc.edu

http://www.ac.upc.edu/ca/docencia/doctorat/programa-de-doctorat-arquitectura-de-computadors

The doctoral programme in Computer Architecture is delivered by the UPC’s Department of Computer Architecture. The main aim of the programme, which has a long track record, is to produce researchers with capabilities of the highest international standard in the subject areas it covers; namely, computer architecture, operating systems, communications and computer networks. 

General information

Access profile

The doctoral programme focuses primarily on computer architecture. Applicants must therefore hold a master's degree in an area that covers this field (i.e. computer sciences). The appropriateness of a student’s qualifications will be determined based on the academic curriculum vitae they submit when applying for admission.

As a general rule, to be admitted to the doctoral programme offered by the Department of Computer Architecture, applicants should have completed a bachelor's degree, preferably in informatics or telecommunications, and a master's degree in one of these areas, such as the master's degree in Innovation and Research in Informatics (MIRI) in any of its specialisations. Applicants must also have a high level of English proficiency and be willing to join a working group, participate in research projects, travel and undertake periods of mobility abroad, and interact with colleagues outside the UPC (staff of companies and research centres, members of other groups, etc.).

Output profile

Doctoral candidates who complete a doctoral degree will have acquired the following competencies, which are needed to carry out quality research (Royal Decree 99/2011, of 28 January, which regulates official doctoral studies):

a) A systematic understanding of the field of study and a mastery of the research skills and methods related to the field.
b) An ability to conceive, design or create, put into practice and adopt a substantial process of research or creation.
c) An ability to contribute to pushing back the frontiers of knowledge through original research.
d) A capacity for critical analysis and an ability to assess and summarise new and complex ideas.
e) An ability to communicate with the academic and scientific community and with society in general as regards their fields of knowledge in the manner and languages that are typical of the international scientific community to which they belong.
f) An ability to foster scientific, technological, social, artistic and cultural progress in academic and professional contexts within a knowledge-based society.

The award of a doctoral degree must equip the graduate for work in a variety of settings, especially those requiring creativity and innovation. Doctoral graduates must have at least acquired the personal skills needed to:

a) Develop in contexts in which there is little specific information.
b) Find the key questions that must be answered to solve a complex problem.
c) Design, create, develop and undertake original, innovative projects in their field.
d) Work as part of a team and independently in an international or multidisciplinary context.
e) Integrate knowledge, deal with complexity and make judgements with limited information.
f) Offer criticism on and intellectually defend solutions.

Finally, with respect to competencies, doctoral students must:

a) have acquired advanced knowledge at the frontier of their discipline and demonstrated, in the context of internationally recognised scientific research, a deep, detailed and well-grounded understanding of theoretical and practical issues and scientific methodology in one or more research fields;
b) have made an original and significant contribution to scientific research in their field of expertise that has been recognised as such by the international scientific community;
c) have demonstrated that they are capable of designing a research project that serves as a framework for carrying out a critical analysis and assessment of imprecise situations, in which they are able to apply their contributions, expertise and working method to synthesise new and complex ideas that yield a deeper knowledge of the research context in which they work;
d) have developed sufficient autonomy to set up, manage and lead innovative research teams and projects and scientific collaborations (both national and international) within their subject area, in multidisciplinary contexts and, where appropriate, with a substantial element of knowledge transfer;
e) have demonstrated that they are able to carry out their research activity in a socially responsible manner and with scientific integrity;
f) have demonstrated that they are able to participate in scientific discussions at the international level in their field of expertise and disseminate the results of their research activity to audiences of all kinds;
g) have demonstrated, within their specific scientific context, that they are able to make cultural, social or technological advances and promote innovation in all areas within a knowledge-based society.

Number of places

40

Duration of studies and dedication regime

Duration
The maximum period of study for full-time doctoral studies is four years, counted from the date of first enrolment in the relevant programme until the date on which the doctoral thesis is deposited. The academic committee of the doctoral programme may authorise a doctoral candidate to pursue doctoral studies on a part-time basis. In this case, the maximum period of study is seven years from the date of first enrolment in the programme until the date on which the doctoral thesis is deposited. To calculate these periods, the date of deposit is considered to be the date on which the thesis is made publicly available for review.

If a doctoral candidate has a degree of disability equal to or greater than 33%, the maximum period of study is six years for full-time students and nine years for part-time students.

For full-time doctoral candidates, the minimum period of study is two years, counted from the date of an applicant's admission to the programme until the date on which the doctoral thesis is deposited; for part-time doctoral candidates it is four years.

When there are justified grounds for doing so, and the thesis supervisor and academic tutor have given their authorisation, doctoral candidates may request that the academic committee of their doctoral programme exempt them from the requirement to complete this minimum period of study.

Temporary disability leave and leave for the birth of a child, adoption or fostering for the purposes of adoption, temporary foster care, risk during pregnancy or infant feeding, gender violence and any other situation provided for in current regulations do not count towards these periods. Students who find themselves in any of these circumstances must notify the academic committee of the doctoral programme, which must inform the Doctoral School.

Doctoral candidates may request periods of temporary withdrawal from the programme for up to a total of two years. Requests must be justified and addressed to the academic committee responsible for the programme, which will decide whether or not to grant the candidate's request.

Extension of studies
If a doctoral candidate has not applied to deposit their thesis before the expiry of the deadlines specified in the previous section, the academic committee of the doctoral programme may, at the request of the doctoral candidate, authorise an extension of this deadline of one year under the conditions specified for the doctoral programme in question.

Dismissal from the doctoral programme
A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The doctoral candidate not having completed their annual enrolment or applied for a temporary interruption.
  • The doctoral candidate not having formalised annual enrolment on the day after the end of the authorisation to temporarily interrupt or withdraw from the programme.
  • The doctoral candidate receiving a negative reassessment after the deadline set by the academic committee of the doctoral programme to remedy the deficiencies that led to a previous negative assessment.
  • The doctoral candidate having been the subject of disciplinary proceedings leading to their suspension or permanent exclusion from the UPC.
  • A refusal to authorise the extensions applied for, in accordance with the provisions of Section 3.3 of these regulations.
  • The doctoral candidate not having submitted the research plan in the period established in Section 8.2 of these regulations.
  • The maximum period of study for the doctoral degree having ended, in accordance with the provisions of Section 3.4 of these regulations.

Dismissal from the programme means that the doctoral candidate cannot continue studying at the UPC and that their academic record will be closed. This notwithstanding, they may apply to the academic committee of the programme for readmission, and the committee must reevaluate the candidate in accordance with the criteria established in the regulations.

A doctoral candidate who has been dismissed due to having exceeded the time limit for completing doctoral studies or due to an unsatisfactory assessment may not be Academic Regulations for Doctoral Studies Universitat Politècnica de Catalunya Page 17 of 33 admitted to the same doctoral programme until at least two years have elapsed from the date of dismissal, as provided for in sections 3.4 and 9.2 of these regulations.

Legal framework

Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
STRUCTURAL UNITS:
  • Department of Computer Architecture (PROMOTORA)
SPECIFIC URL OF THE DOCTORAL PROGRAM:
http://www.ac.upc.edu/ca/docencia/doctorat/programa-de-doctorat-arquitectura-de-computadors

CONTACT:

Doctoral Unit - ICT North Campus Management and Support Unit (UTGCNTIC). C. Jordi Girona, 1-3. Building B4-003 (North Campus)
Tel.: 934 054 198
E-mail: doctorat.ac@upc.edu


Agreements with other institutions

BSC (Barcelona Supercomputing Center)

Access, admission and registration

Access profile

The doctoral programme focuses primarily on computer architecture. Applicants must therefore hold a master's degree in an area that covers this field (i.e. computer sciences). The appropriateness of a student’s qualifications will be determined based on the academic curriculum vitae they submit when applying for admission.

As a general rule, to be admitted to the doctoral programme offered by the Department of Computer Architecture, applicants should have completed a bachelor's degree, preferably in informatics or telecommunications, and a master's degree in one of these areas, such as the master's degree in Innovation and Research in Informatics (MIRI) in any of its specialisations. Applicants must also have a high level of English proficiency and be willing to join a working group, participate in research projects, travel and undertake periods of mobility abroad, and interact with colleagues outside the UPC (staff of companies and research centres, members of other groups, etc.).

Access requirements

As a rule, applicants must hold a Spanish bachelor's degree or equivalent and a Spanish master's degree or equivalent, provided they have completed a minimum of 300 ECTS credits on the two degrees (Royal Decree 43/2015, of 2 February).

Applicants who meet one or more of the following conditions are also eligible for admission:

a) Holders of official Spanish degrees or equivalent Spanish qualifications, provided they have passed 300 ECTS credits in total and they can prove they have reached Level 3 in the Spanish Qualifications Framework for Higher Education.
b) Holders of degrees awarded in foreign education systems in the European Higher Education Area (EHEA), which do not require homologation, who can prove that they have reached Level 7 in the European Qualifications Framework, provided the degree makes the holder eligible for admission to doctoral studies in the country in which it was awarded.
c) Holders of degrees awarded in a country that does not belong to the EHEA, which do not require homologation, on the condition that the University is able to verify that the degree is of a level equivalent to that of official university master's degrees in Spain and that it makes the holder eligible for admission to doctoral studies in the country in which it was awarded.
d) Holders of another doctoral degree.
e) Holders of an official university qualification who, having been awarded a post as a trainee in the entrance examination for specialised medical training, have successfully completed at least two years of training leading to an official degree in a health sciences specialisation.

Note 1: Regulations for access to doctoral studies for individuals with degrees in bachelor's, engineering, or architecture under the system prior to the implementation of the EHEA (CG 47/02 2014).

Note 2: Agreement number 64/2014 of the Governing Council approving the procedure and criteria for assessing the academic requirements for admission to doctoral studies with non-homologated foreign degrees (CG 25/03 2014).

Legal framework

Admission criteria and merits assessment

Given the highly heterogeneous academic environment, to ensure that applicants have an appropriate background, the programme has modified its internal admission procedure. Admission requirements are now grouped in two categories: formal and conceptual. If an applicant does not meet the formal conditions, the conceptual requirements are not considered.

Formal analysis (FA)

Applicants must meet the requirements established in the administrative regulations for programme. The focus here is on ensuring that applicants have the level of studies and the number of credits required. Applicants who do not meet these requirements will not be admitted to the programme.

Conceptual analysis (CA)

This includes points related to the applicant’s level of knowledge and capabilities. Another factor taken into account is whether there is a research group interested in the work the applicant wishes to undertake. In this section, the following requirements apply:

• ED: An engineering degree related to the subject area of the programme, preferably in informatics or telecommunications. In exceptional cases, students with other qualifications, such as a degree in mathematics or a master's degree in computer science, may also be admitted.

• RG: Whether or not the applicant has the support of a research group linked to the programme and a supervisor/tutor to complete their doctoral thesis.

• BA: Experience or explicit knowledge of computer architecture; acquired, for example, by completing a master’s thesis in this area, collaborating with a group working in the field, etc.

• EN: Proficiency in English, certified by an internationally accepted testing system (TOEFL, etc.).

• FU: Availability of funding for the student’s research, whether through the institution where they completed their previous studies or through the group in which the thesis work would be carried out.

All of these factors will be taken into account by applying the following formula:
Admission: FA*(0.1ED + 0.4RG + 0.1BA + 0.2EN + 0.2FU)

Training complements

To ensure that students admitted to the programme have the knowledge they need to make good progress, the academic committee of the doctoral programme may require that they pass specific bridging courses. Additional training requirements will be determined based on each student's academic background. In such cases, the committee will keep track of the bridging courses completed and establish appropriate criteria to limit their duration. Bridging courses may provide research or cross-disciplinary training, but in no case may doctoral students be required to enrol for 60 or more ECTS credits. Taking into account the doctoral student activity report, the academic committee may propose measures that complement those specified in the regulations and which result in doctoral students who do not meet the specified requirements being excluded from the programme.

Therefore, the organisers of the doctoral programme may admit students on the condition that they complete specific bridging courses to fill gaps identified in their academic background and ensure that they have the knowledge needed to successfully complete their doctoral studies. The number of bridging courses required will depend on each student's background and may require the completion of 18 or 30 additional ECTS credits. The following considerations will apply: 

• Credits for additional training will correspond to three or five master's level subjects, selected from among master’s degrees linked to the doctoral programme. 

• The academic committee will decide how many credits a student must take by reviewing the subjects they took to earn their entrance qualification in order to identify possible gaps in their knowledge. A range of factors are taken into account to determine what subjects a student must take. Apart from subject names, other points considered include the number of hours of study completed for each subject, the topics covered, and even the university where the subjects were taken. The syllabus for each subject will be reviewed, with particular attention to the number of hours allocated in the syllabus. 

• The specific subjects to be taken will be determined by the academic committee in agreement with the student's tutor. Subjects will be selected with the aim of achieving two key goals: i) increasing the student’s knowledge in areas where gaps have been identified; ii) increasing their knowledge in the area of their doctoral thesis.

Enrolment period for new doctoral students

Students enrolling in the doctoral programme for the first time must do so by the deadline specified in the admission decision.
Unless otherwise expressly indicated, enrolments corresponding to admission decisions issued from the second half of April on must be completed within the ordinary enrolment period for the current academic year. 

More information at the registration section for new doctoral students

Enrolment period

Ordinary period for second and successive enrolments: first half of October.

More information at the general registration section

Monitoring and evaluation of the doctoral student

Procedure for the preparation and defense of the research plan

Doctoral candidates must submit a research plan, which will be included in their doctoral student activity report, before the end of the first year. The plan may be improved over the course of the doctoral degree. It must be endorsed by the tutor and the supervisor, and it must include the method that is to be followed and the aims of the research.

At least one of these annual assessments will include a public presentation and defence of the research plan and work done before a committee composed of three doctoral degree holders, which will be conducted in the manner determined by each academic committee. The examination committee awards a Pass or Fail mark. A Pass mark is a prerequisite for continuing on the doctoral programme. Doctoral candidates awarded a Fail mark must submit a new research plan for assessment by the academic committee of the doctoral programme within six months.

The committee assesses the research plan every year, in addition to all of the other activities in the doctoral student activity report. Doctoral candidates who are awarded two consecutive Fail marks for the research plan will be obliged to definitely withdraw from the programme.

If they change the subject of their thesis, they must submit a new research plan.

Formation activities

Tutorial hours are considered highly important for training students and monitoring their progress. Time spent on tutorials is estimated as follows:

Activity: Tutorial.

Hours: 2 hours/week × 48 weeks of class × 3 years = 288 hours. 

Type: compulsory

In weekly tutorials, students will discuss their work and the progress they are making with their tutor. Tutors may provide students with guidance based on the results obtained and anticipated progress with the aim of facilitating achievement of objectives that have been set. During the hours allocated for these sessions, tutors may also talk to students about research groups that are working in areas closely related to the topic of their thesis and that may be interested in engaging with the work to be carried out by the student, or that it may be worthwhile for the student to contact to discuss possible collaborations. Tutorials may also include internal meetings with other members of the research group to discuss issues of common interest in relation to the research being conducted.

This activity will continue throughout the time that it takes a student to complete their doctoral thesis (estimated at three years).

Procedure for assignment of tutor and thesis director

The academic committee of the doctoral programme assigns a thesis supervisor to each doctoral candidate when they are admitted or enrol for the first time, taking account of the thesis supervision commitment referred to in the admission decision.

The thesis supervisor will ensure that training activities carried out by the doctoral candidate are coherent and suitable, and that the topic of the candidate’s doctoral thesis will have an impact and make a novel contribution to knowledge in the relevant field. The thesis supervisor will also guide the doctoral candidate in planning the thesis and, if necessary, tailoring it to any other projects or activities undertaken. The thesis supervisor will generally be a UPC professor or researcher who holds a doctoral degree and has documented research experience. This includes PhD-holding staff at associated schools (as determined by the Governing Council) and UPC-affiliated research institutes (in accordance with corresponding collaboration and affiliation agreements). When thesis supervisors are UPC staff members, they also act as the doctoral candidate’s tutor.

PhD holders who do not meet these criteria (as a result of their contractual relationship or the nature of the institution to which they are attached) must be approved by the UPC Doctoral School's Standing Committee in order to participate in a doctoral programme as researchers with documented research experience.

The academic committee of the doctoral programme may approve the appointment of a PhD-holding expert who is not a UPC staff member as a candidate’s thesis supervisor. In such cases, the prior authorisation of the UPC Doctoral School's Standing Committee is required. A UPC staff member who holds a doctoral degree and has documented research experience must also be proposed to act as a co-supervisor, or as the doctoral candidate’s tutor if one has not been assigned.

A thesis supervisor may step down from this role if there are justified reasons (recognised as valid by the committee) for doing so. If this occurs, the academic committee of the doctoral programme will assign the doctoral candidate a new thesis supervisor.

Provided there are justified reasons for doing so, and after hearing any relevant input from the doctoral candidate, the academic committee of the doctoral programme may assign a new thesis supervisor at any time during the period of doctoral study.

If there are academic reasons for doing so (an interdisciplinary topic, joint or international programmes, etc.) and the academic committee of the programme gives its approval, an additional thesis supervisor may be assigned. Supervisors and co-supervisors have the same responsibilities and academic recognition.

The maximum number of supervisors of a doctoral thesis is two: a supervisor and a co-supervisor.

For theses carried out under a cotutelle agreement or as part of an Industrial Doctorate, if necessary and if the agreement foresees it this maximum number of supervisors may not apply. This notwithstanding, the maximum number of supervisors belonging to the UPC is two.

More information at the PhD theses section

Permanence

The maximum period of study for full-time doctoral studies is four years, counted from the date of first enrolment in the relevant programme until the date on which the doctoral thesis is deposited. The academic committee of the doctoral programme may authorise a doctoral candidate to pursue doctoral studies on a part-time basis. In this case, the maximum period of study is seven years from the date of first enrolment in the programme until the date on which the doctoral thesis is deposited. To calculate these periods, the date of deposit is considered to be the date on which the thesis is made publicly available for review.

If a doctoral candidate has a degree of disability equal to or greater than 33%, the maximum period of study is six years for full-time students and nine years for part-time students.

If a doctoral candidate has not applied to deposit their thesis before the expiry of the deadlines specified in the previous section, the academic committee of the doctoral programme may, at the request of the doctoral candidate, authorise an extension of this deadline of one year under the conditions specified for the doctoral programme in question.

Dismissal from the doctoral programme
A doctoral candidate may be dismissed from a doctoral programme for the following reasons:

  • The doctoral candidate submitting a justified application to withdraw from the programme.
  • The doctoral candidate not having completed their annual enrolment or applied for a temporary interruption.
  • The doctoral candidate not having formalised annual enrolment on the day after the end of the authorisation to temporarily interrupt or withdraw from the programme.
  • The doctoral candidate receiving a negative reassessment after the deadline set by the academic committee of the doctoral programme to remedy the deficiencies that led to a previous negative assessment.
  • The doctoral candidate having been the subject of disciplinary proceedings leading to their suspension or permanent exclusion from the UPC.
  • A refusal to authorise the extensions applied for, in accordance with the provisions of Section 3.3 of these regulations.
  • The doctoral candidate not having submitted the research plan in the period established in Section 8.2 of these regulations.
  • The maximum period of study for the doctoral degree having ended, in accordance with the provisions of Section 3.4 of these regulations.

Dismissal from the programme means that the doctoral candidate cannot continue studying at the UPC and that their academic record will be closed. This notwithstanding, they may apply to the academic committee of the programme for readmission, and the committee must reevaluate the candidate in accordance with the criteria established in the regulations.

A doctoral candidate who has been dismissed due to having exceeded the time limit for completing doctoral studies or due to an unsatisfactory assessment may not be Academic Regulations for Doctoral Studies Universitat Politècnica de Catalunya Page 17 of 33 admitted to the same doctoral programme until at least two years have elapsed from the date of dismissal, as provided for in sections 3.4 and 9.2 of these regulations.

Legal framework

Learning resources

The programme has access to the resources of the research groups of the Department of Computer Architecture and research centres associated with the programme, as well as institutional resources made available by the UPC. Specifically, students have access to:

1) Resources of the following research centres associated with the programme:

• BSC: Barcelona Supercomputing Center, http://www.bsc.es 

• Advanced Broadband Communications Centre (CCABA), http://www.ccaba.upc.edu 

• Aeronautical and Space Science Research Centre (CRAE)https://recerca.upc.edu/crae/

2) Resources of research groups and laboratories associated with the programme:

• ANA/CRAAX:  http://research.ac.upc.edu/ana 

• ARCO:  http://research.ac.upc.edu/ARCO

• CAP:  http://research.ac.upc.edu/CAP/hpc

- CBA: http://research.ac.upc.edu/cba

• CNDS:  http://research.ac.upc.edu/cnds

• DAMA-UPC: http:// research.ac.upc.edu/dama

• DMAG: http://research.ac.upc.edu/dmag

• ICARUS: http://www.icarus.upc.edu/

Doctoral Theses

List of authorized thesis for defense

  • DEVIGILI, MARIANO: Applications of the OCATA optical layer digital twin
    Author: DEVIGILI, MARIANO
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Deposit date: 01/10/2024
    Reading date: 08/11/2024
    Reading time: 10:00
    Reading place: Defensa publica Sala Juntes - Edifici B6 - 1a planta (FIB) - Campus Nord - Barcelona
    Thesis director: VELASCO ESTEBAN, LUIS DOMINGO | NAPOLI, ANTONIO
    Committee:
         PRESIDENT: CASELLAS REGI, RAMON
         SECRETARI: COMELLAS COLOME, JAUME
         VOCAL: SAMBO, NICOLA
    Thesis abstract: Optical transport networks (OTNs) are a core infrastructure and key-enabler of today’s hyper-connected society as most of the Internet data traffic is transferred over optical fibers. Traffic demand is experiencing rest-less growth as Internet-services are reaching increasing audience and capacity-hungry applications are arising (e.g., industry 4.0). In view of this, constant innovation is required in OTNs to accommodate the requested capacity while minimizing the cost. In this scenario, digital twins (DTs) – intended as a combination of models self-adjusting with their physical counterpart and of algorithms acting on the network for specific applications – are being proposed as a solution for: 1) maximizing the transport capacity by reducing the network margins; 2) pave the way towards optical network automation. The main objective of this PhD Thesis is to improve network operation based on the use of DTs algorithms and models for failure management, lightpath provisioning and optical amplifier control. To achieve this goal, different machine learning (ML) algorithms were investigated and the capabilities of the OCATA DT were extended. This main goal is achieved by the following three specific goals:1. Applications of Optical Layer DT During Network Operation. The OCATA capabilities are extended for quality of transmission (QoT) estimation and failure management. Tailor-made features are extracted from IQ constellation samples, which show correlations with QoT metrics and with failures-induced signal degradations. Next, specific ML-based models and algorithms for QoT estimation, soft-failure detection, identification and severity estimation are proposed. Results from both simulation and experiments show noticeable accuracy on the estimation of QoT and on the prediction of failures affecting the transmitter, optical filters and amplifiers. Furthermore, this approach was confirmed also for detecting and identifying spectrum anomalies. 2. Applications of Optical Layer DT for Lightpath Provisioning. OCATA capabilities are extended for modulation formats besides 16-quadrature amplitude modulation (QAM) and for digital subcarrier multiplexing signals (DSCM). Firstly, an algorithm for lightpath provisioning is proposed and evaluated based on simulations. Secondly, I experimentally evaluate its accuracy to predict the impact of optical filtering penalties. The simulations show an overall high accuracy for different signal formats and demonstrate their viability for lightpath provisioning. Moreover, the models showed the most advantageous trade-off between accuracy and execution time when compared with other existing methods. Finally, the experimental results demonstrate the feasibility of implementing such models to perform quality of transmission estimation for DSCM signals.3. Application of Optical Layer DT for Amplifier Control. DT models were designed to assist a network controller in performing informed decisions when re-configuring dynamically optical amplifiers under varying channel loadings. Experimental characterization processes were performed on pluggable EDFAs. Then, ML models based on deep learning (DL) and ensemble methods were compared in terms of accuracy and computation speed. After time-consuming hyper parameter optimization (HPO) procedures, DL models showed to achieve both the best performance on the training data set and the best generalizability on unknown dataset. Furthermore, it was shown that substantial generalization error reduction can be achieved employing transfer learning (TL) techniques.
  • NAVARRO MUÑOZ, ANTONI: Enhancing HPC efficiency: adaptive resource management and scheduling through online monitoring and prediction systems
    Author: NAVARRO MUÑOZ, ANTONI
    Thesis file: (contact the Doctoral School to confirm you have a valid doctoral degree and to get the link to the thesis)
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Deposit date: 22/07/2024
    Reading date: 11/11/2024
    Reading time: 10:30
    Reading place: Defensa Pública Sala E106 - Edifici C6 (FIB) - Campus Nord - Barcelona
    Thesis director: BELTRAN QUEROL, VICENÇ | AYGUADÉ PARRA, EDUARD
    Committee:
         PRESIDENT: PERICAS GLEIM, MIQUEL
         SECRETARI: PEÑA MONFERRER, ANTONIO JOSE
         VOCAL: DURAN GONZÁLEZ, ALEJANDRO
    Thesis abstract: High-Performance Computing (HPC) systems continuously evolve, driven by user needs and technology trends. Over the decades, research involving HPC systems has gone from exclusively prioritizing time-to-solution and performance to including energy efficiency and system throughput as equally important objectives. Although the approaches to tackle these objectives may vary, energy efficiency and system throughput are symbiotic, as often improving the latter enhances the former. Several software components seamlessly relate to these objectives, from applications, programming models, and runtime systems to job schedulers and operating systems.Nonetheless, parallel programming models aid HPC users in achieving these objectives by abstracting the intricacies of the underlying system. Hence, runtime systems are crucial in coping with the surfaced challenges. Runtime systems can gather precise and fine-grained profiling information and leverage it to implement advanced scheduling and resource management heuristics to optimize the execution of applications.However, current implementations are either too naive and static to cope with the irregularity and dynamism of today’s applications or introduce adverse effects in the form of overhead and complexity. To overcome these drawbacks, current runtime systems should utilize techniques that optimize system throughput adaptively through informed decisions rather than statically tailoring settings per execution.This thesis’s main objective is to design and develop a precise and low-overhead online monitoring and prediction infrastructure that provides all the necessary capabilities to enhance resource management and scheduling techniques for HPC systems. Our research finds that, based on the information provided by our monitoring infrastructures, creating adaptive techniques or enhancing existing ones can improve performance and energy efficiency compared to the static methods found in the literature. Furthermore, through a novel design, our monitoring infrastructures provide accurate and fine-grained metrics and predictions with negligible overhead while in an online operating mode.Finally, our contributions demonstrate how system throughput and energy efficiency can improve by leveraging detailed information from the runtime systems and system job schedulers.

Last update: 06/11/2024 05:45:29.

List of lodged theses

Last update: 06/11/2024 05:30:25.

List of defended theses by year

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  • ALBUQUERQUE PORTELLA, FELIPE: A paradigm shift of HPC for geosciences: a novel HPC service model for geosciences applications
    Author: ALBUQUERQUE PORTELLA, FELIPE
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 06/06/2024
    Thesis director: BERRAL GARCÍA, JOSEP LLUÍS | CARRERA PÉREZ, DAVID

    Committee:
         PRESIDENT: FONTOURA DE GUSMAO CERQUEIRA, RENATO
         SECRETARI: TOUS LIESA, RUBÉN
         VOCAL: DE MORAES, RAFAEL JESUS
    Thesis abstract: The Oil and Gas (O&G) industry ranks prominently among the leading commercial users of powerful supercomputers worldwide, as indicated by global High-Performance Computing (HPC) ranking lists, such as TOP500 and Green500. Geoscience applications, particularly flow and geomechanical simulators, pose demanding workloads for HPC in adressing complex engineering challenges in the O&G industry, together with seismic processing. The rise of hybrid on-demand and cloud HPC environments presents new challenges to end users. Beyond expertise in their fields, users must navigate the intricacies of computer architecture to select the optimal hardware and parallelization option. They also need to consider the business model decisions of the cloud providers, such as managing spot instances, selecting different cloud regions, or even different cloud providers.Furthermore, users struggle with the complexities of configuring their own geoscience software due to the multitude of tunable numerical parameters. Default values may not be optimal for specific reservoir models, requiring geoscientists’ expertise in both the physics and mathematics behind the simulators and in computer science. A deep understanding of application performance is challenging, as it can vary based on input parameters. Many users end up relying on default configurations or decisions by system administrators for geoscience software, missing opportunities to optimize speed and cost-effectiveness.This thesis aims to shift the paradigm in utilizing HPC for geoscience by entrusting computer architecture decisions to domain-aware optimization algorithms. Such an approach not only enhances usability for the end user, but can also translate into substantial reductions in both time and cost. These algorithms could lead to better utilization of on-premises supercomputers and cost optimization of cloud resources. We evaluate the feasibility of this approach through the contributions of three algorithms. The first algorithm of this work was named TunaOil, which is a novel methodology that uses previous reservoir simulation executions to train an oracle that proposes near-optimal numerical parameters for subsequent simulations within a History Matching (HM) workflow. This allows the simulation parameters to be adjusted without additional executions, saving valuable time. Experiments show that the contribution of this algorithm is an improvement of up to 31% in the overall runtime of the HM workflow.The second algorithm, named MScheduler, is a metascheduler framework designed for reservoir simulations in the cloud. It effi-ciently executes SLURM jobs by utilizing spot Virtual Machines (VMs) to minimize costs and ensure job completion even in the event of VM termination. Key contributions include a novel methodology for reservoir simulation checkpointing, a cost-based scheduler, and an analysis of the strategy using real production jobs. MScheduler significantly reduces financial costs with a slight increase in makespan. On average, it reduces monetary costs by up to 32%, with only an 8% increase in the makespan compared on-demand executions. In the best case, the monetary savings reach 66%, with a 19% increase in makespan.The third algorithm utilizes Machine Learning (ML) algorithms in job schedulers to predict execution times of reservoir job, improving cluster resource efficiency. The developed model classifies the duration time interval of SLURM reservoir simulation jobs with an accuracy of more than 70%, exceeding the standard performance described in the job scheduling literature, thus contributing to improved scheduling decisions.Together, these algorithms mark a paradigm shift in HPC utilization for geoscience applications. They liberate end users from complex computer architecture choices, contributing to improved decision-making and significant time and cost benefits.

  • ALI, OMAR SHAABAN IBRAHIM: Optimization techniques for distributed task-based programming models
    Author: ALI, OMAR SHAABAN IBRAHIM
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 01/10/2024
    Thesis director: CARPENTER, PAUL MATTHEW

    Committee:
         PRESIDENT: BULL, JONATHAN MARK
         SECRETARI: JIMENEZ GONZALEZ, DANIEL
         VOCAL: ARAUJO, GUIDO
    Thesis abstract: In HPC, task-based models have gained prominence via the adoption of tasks in OpenMP, as an asynchronous and platform-agnostic high-performance and productive model by annotating existing code, transforming it into a parallel version. A program is expressed as a Directed Acyclic Graph (DAG), whose vertices are units of code called tasks. Edges between tasks represent dependencies between them, and tasks with no logical relationship can be executed concurrently. The task graph is independent of the targeted platform architecture, making these models suitable for concurrent execution on a broad spectrum of platforms such as multi-core SMPs or offloaded to GPUs, FPGAs, or accelerators. Several initiatives explore distributed-tasking approaches, which use the task model to decompose the application across multiple nodes with distributed memory. The advantage is that the application is expressed in a simple and clean manner that reflects only the computations and dependencies. Unfortunately, the distributed tasking approaches suffer from poor efficiency and scalability, which hinder their adoption by the HPC community. This is mainly due to the overhead of task creation and dependency graph construction, which are usually sequential. This thesis proposes two techniques to address this problem. Our first approach relates to task nesting, which mitigates the sequential bottleneck by building the full dependency graph in parallel using multiple concurrently executing parent tasks. A key limitation of task nesting is that a task cannot be created until all its accesses and its descendants’ accesses are known. Current approaches to work around this limitation either halt task creation and execution using an explicit taskwait barrier or substitute dependencies with artificial accesses known as sentinels. We introduce the auto clause, which indicates that the task may create subtasks that access unspecified memory regions, or it may allocate and return memory at addresses that are not yet known. Contrary to taskwait, our approach does not prevent the concurrent creation and execution of tasks, maintaining parallelism and allowing the scheduler to optimize load balance and data locality. In addition, all tasks can be given a precise specification of their own data accesses, unlike sentinels, resulting in a unified mechanism governing task ordering, program data transfers on distributed memory, and optimizing data locality, e.g. on NUMA systems. The auto clause, therefore, provides an incremental path to develop programs with nested tasks by removing the need for every parent task to have a complete specification of the accesses of its descendent tasks while reducing redundant information that can be time-consuming and error-prone to describe. Our second approach takes advantage of the iterative behaviour of many HPC applications, such as those that employ iterative methods or multi-step simulations. Most models construct the full unrolled task graph sequentially despite the fact that these applications create the same directed acyclic graph of tasks on each timestep. We define the programming model based on the taskiter clause, a recently introduced construct in the literature for iterative applications on SMP. We also describe the full runtime implementation to exploit this information to eliminate the sequential bottleneck and control messages while retaining the simplicity and productivity of the existing approach. We integrate both techniques into OmpSs-2@Cluster, the distributed tasking variant of OmpSs-2, and evaluate the performance on the MareNostrum 4 supercomputer.

  • ALZATE MEJIA, NESTOR: Modelado de la incertidumbre humana en la asignación de recursos para redes de comunicaciones
    Author: ALZATE MEJIA, NESTOR
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 25/06/2024
    Thesis director: DE ALMEIDA AMAZONAS, JOSÉ ROBERTO | PERELLO MUNTAN, JORDI

    Committee:
         PRESIDENT: MARZO LAZARO, JOSE LUIS
         SECRETARI: BARLET ROS, PERE
         VOCAL: NIN GUERRERO, JORDI
    Thesis abstract: This research addresses resource allocation in communication networks, with emphasis on the impact of human uncertainty on the performance of these networks, especially those using advanced technologies. The central hypothesis of this thesis is that variations in human behavior influence the operational efficiency of communication networks. To validate this hypothesis, a methodology has been designed that includes an exhaustive review of the specialized literature, complemented with a rigorous qualitative and quantitative analysis in simulated scenarios.In this context, a specific case study is investigated: the use of mobile applications for rented vehicles with driver, such as Uber and Cabify, operating in a network slice of a 5G network. These applications, installed on mobile devices, facilitate the connection between users and drivers, showing the availability of vehicles in real time. The process begins when a user selects an origin and destination point in the app, which proposes an optimal route. However, the driver can modify the proposed route without penalty, introducing uncertainty that can negatively affect network performance.In the simulations, special attention is paid to the Call Drop Rate (CDR) as a function of possible failures during the handover process. The simulations are developed in multiple stages: initially in a minimum scenario, designed to verify the influence of uncertainty on network performance. In the second stage, the model is evaluated in the Simulation of Urban Mobility (SUMO) simulator, which brings more realism to the vehicular environment. This simulator is integrated with the Artery-C framework, which incorporates elements related to 5G technology. In the final phase, data from the InTAS scenario, which models detailed information of the city of Ingolstadt, is used, providing a robust test environment for model validation.The findings show the relevance of developing methodologies that optimize resource allocation and improve network performance, aligned with operators' strategic objectives. This approach represents a promising way to increase efficiency and effectiveness in the implementation of technological solutions in dynamic and complex environments.The main objective of this research is to develop and evaluate a model that captures human uncertainty from multiple perspectives, adopting an interdisciplinary approach. The results indicate that human uncertainty significantly affects the performance of communication networks. Through an interdisciplinary approach, an innovative model has been designed that integrates sociological, psychological and computational aspects, capturing human uncertainty in advanced technology contexts. The adaptability and effectiveness of the model have been corroborated using advanced computational tools.This study contributes to the field of resource allocation in communication networks, demonstrating the importance of adopting adaptive strategies. For future research, it is proposed to extend the model to analyze different network slices, considering unique characteristics and constraints imposed by service providers. This would include the evaluation of resource seasonality to improve the elasticity and responsiveness of the model. In addition, it is suggested to develop an innovative method for dynamic resource allocation that incorporates human uncertainty, allowing adaptive decisions in real time. These approaches would promote more effective management and optimization of network resources in various contexts and temporalities.

  • BARCELÓ CUERDA, ALEX: Bridging the gap between object stores and HPC
    Author: BARCELÓ CUERDA, ALEX
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 18/03/2024
    Thesis director: QUERALT CALAFAT, ANNA | CORTÉS ROSSELLÓ, ANTONIO

    Committee:
         PRESIDENT: ANTONIU, GABRIEL
         SECRETARI: GARCÍA ALMIÑANA, JORDI
         VOCAL: TALIA, DOMENICO
    Thesis abstract: Efficient data management is a fundamental aspect of application workflows, particularly in the context of High-Performance Computing environments. This thesis examines the potential of object stores as a robust candidate for HPC storage systems.The first contribution of this thesis is the conditioning of a distributed object store combined with the architectural design of its integration with a computational framework. The resulting object store can efficiently use HPC resources. This is achieved by leveraging active capabilities and results in an increase of data locality and execution performance.After this first contribution --the fruit of which is a software stack architecture, in addition to its evaluation characterization-- we propose two additional distinct contributions (second and third contributions of this thesis) that showcase the potential of such an active object store in the realm of HPC. For the second contribution, we introduce a new software mechanism for iterating datasets and performing distributed execution on this software stack. Our proposal is able to abstract the relationship between data distribution and task distribution while delivering performance benefits in a wide variety of scenarios. This is achieved without sacrificing the programmability of the task based programming model.The third contribution of this thesis is related to the integration of a hardware technology, the non-volatile memory (NVM). The main idea is to leverage the active aspect of the object store and combine it with the byte-addressable nature of these new kind of memories. The characteristics of NVM allow to perform in-place computation --without needing to stage-in data from this persistent memory layer-- and the active mechanism is able to invoke the execution next to its data. These two aspects intertwine and allow the object store to manage NVM space while boosting data locality and reducing overall memory footprint.All contributions are implemented as part of dataClay (the storage system, an object store). This thesis includes the implementation and evaluation of these proposals with commonly used scientific applications. In addition to completing and evaluating the integration of dataClay and COMPSs (the execution framework), the software mechanisms for iterating datasets are also implemented and evaluated with Dask (another task-based execution framework). The different scenarios explored showcase the benefits that our contributions bring to the proposed software stacks within the HPC ecosystem.

  • BERNÁRDEZ GIL, GUILLERMO: Multi-agent graph learning-based optimization and its applications to computer networks
    Author: BERNÁRDEZ GIL, GUILLERMO
    Thesis link: http://hdl.handle.net/10803/690460
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 15/03/2024
    Thesis director: BARLET ROS, PERE | CABELLOS APARICIO, ALBERTO

    Committee:
         PRESIDENT: SCARSELLI, FRANCO
         SECRETARI: SPADARO, SALVATORE
         VOCAL: PERINO, DIEGO
    Thesis abstract: In the wake of a digital revolution, contemporary society finds itself entrenched in an era where network applications' demands surpass the capabilities of conventional network management solutions. This dissertation navigates through the intricacies of modern networked environments, where traditional management approaches are falling short due to emerging applications like augmented and virtual reality, holographic telepresence, and vehicular networks, demanding ultra-low latency and robust adaptability. These evolving networks form the backbone of modern society, sustaining numerous vital services but posing elevated complexity and operational hurdles for Internet Service Providers (ISPs) and network operators.Amidst this complexity, the need for innovative solutions to optimize and manage today's networks is more pronounced than ever. A central proposition of this dissertation is the MAGNNETO framework, a groundbreaking Machine Learning (ML) based initiative that stands for Multi-Agent Graph Neural Network Optimization. This framework is at the heart of the endeavour to facilitate distributed optimization in networked scenarios. By integrating a Graph Neural Network (GNN) architecture into a Multi-Agent Reinforcement Learning (MARL) setting, it instigates a fully distributed optimization process and capitalizes on the inherent distributed nature of networked environments, hence potentially addressing scalability issues and facilitating real-time applications. This initiative is adaptable, offering versatility in addressing various use cases and showcasing robustness to meet the challenging requisites of real-world applications.A substantial contribution of this work is the successful implementation of MAGNNETO across different relevant networked cases, prominently focusing on two highly impactful scenarios within the computer network field. Initially, it re-examines the pivotal issue of Traffic Engineering (TE) optimization in ISP networks. With the goal of curtailing network congestion, MAGNNETO-TE is introduced, a variant of the framework specifically devised to minimize maximum link utilization in these networks. Remarkably, this adaptation heralds a paradigm shift by equalling the performance of traditional state-of-the-art TE optimizers but at a fraction of the execution cost.Moreover, the research explores the complex sphere of Congestion Control (CC) in Datacenter Networks (DCN), another critical service in our current digital world that is characterized by dynamic traffic patterns and stringent low-latency prerequisites. Here, MAGNNETO-CC emerges as a potent solution, offering an offline, distributed strategy that harmonizes with widely deployed CC protocols, surpassing other state-of-the-art ML-based CC methodologies and prevailing static CC configurations in performance.Looking ahead, the dissertation also delineates potential avenues to enhance MAGNNETO, particularly addressing challenges tied to current GNN architectures (e.g. over-smoothing and over-squashing). It envisions integrating Topological Deep Learning (TDL) techniques to foster a novel, promising approach to distributed optimization that has the potential to exploit arbitrary multi-element correlations, going beyond the traditional graph domain. By addressing the urgent need for efficient network traffic storage on networks with multiple vantage points, the proposed topological-inspired methodology reveals itself as a robust ML-based baseline for lossy data compression.In summation, this dissertation embarks on a pioneering journey to confront the elemental challenges of optimizing networked, graph-based systems. It unfurls the innovative MAGNNETO solution as a beacon of versatility and adaptability, displays its multifaceted applications, and heralds promising directions for future research, aiming to redefine the landscape of distributed network optimization and management in this digitally transformative era.

  • EL SAYED, AHMAD MOHAMMAD: Smart and efficient sensor networks operation for 5G and beyond ecosystems
    Author: EL SAYED, AHMAD MOHAMMAD
    Thesis link: http://hdl.handle.net/10803/690458
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 30/01/2024
    Thesis director: RUIZ RAMÍREZ, MARC | HARB, HASSAN

    Committee:
         PRESIDENT: SIDDIQUI, MUHAMMAD SHUAIB
         SECRETARI: BERRAL GARCÍA, JOSEP LLUÍS
         VOCAL: TABATABAEIMEHR, FATEMEHSADAT
    Thesis abstract: Sensor Networks (SN) will play an integral role in Beyond 5G (B5G) ecosystems, especially for highly-distributed use cases and services such as Digital Twins (DT). Thus, the underlying transport network needs to provide connectivity between the highly dense and distributed SNs and the DT manager, that typically runs far from sensor data sources, i.e., in a centralized server. In view of this, critical requirements such as high data throughput, latency sensitivity communication, and data veracity and integrity assurance are essential to be provided by B5G networks to support DT services. In order to meet such requirements, statistical and Artificial Intelligence (AI)-based SN data collection and analysis can be implemented to provide smart and efficient data transmission. By means of those procedures, SN data can be compressed and analyzed locally in order to reduce the total data volume to be conveyed in the centralized server. In addition, the inherent nature of the compression and analysis algorithms add privacy and security to the transmitted data without affecting integrity. The use of these kind of AI-based techniques opens the opportunity to perform Knowledge Transfer (KT) between DTs operating under the same tenant infrastructures. Since sharing raw data poses a privacy breach, AI-based methods allow interchanging relevant information while obfuscating critical details, thus enabling coordinated operation across differentiated segments.This Ph.D. thesis aims at enhancing the operation of dense SNs, which are supported by an underlying transport infrastructure that includes edge/fog computing capabilities distributed among nodes. Through the application of statistical and AI-based methods and procedures, the proposed methods will target several objectives, such as reducing the volume of data transported through the network while keeping privacy and integrity, detecting anomalies or events in the collected data to provide early alarms and notifications, and facilitating the operation of services across several SN domains.In more detail, the first objective is to develop methods to reduce the volume of collected sensor data through statistical and AI-based methods for data compression and sampling rate manipulation. We proposed both statistical-based and Autoencoder (AE)-based approaches for compression, as wells as sampling rate adaptation method that works with either. Simulations of implemented algorithms on real world datasets showed a significant ability to reduce the volume of the data, reaching 1% of its original size in some cases, and leading the reduced energy consumption in the factor of one-tenth in case of sensors with limited energy availability.The second objective is to develop methods for maintaining data veracity through employing AI-based anomaly detection methods at multiple levels of the network. Anomalies may arise due to a range of factors from faulty sensors to malicious attacks and detecting them can facilitate timely actions to avoid or mitigate their effect. We proposed two AE-based methods: one operating at the sensor level, and the other on the network level. Simulations of implemented algorithms on real world datasets showed more than 90% of accuracy in detecting anomalies in single sensor data analysis. Moreover, prompt detection of subtle anomalies spanning multiple sensors that could not be detected by single sensor data analysis was achieved.Finally, the third objective is to investigate methods to improve multi-domain DT systems management and coordination through KT while preserving the privacy of each individual DT. We proposed an AE-based knowledge extraction method that extracts codified information about the state of the sharing DT and sends it to the target DT. The method showed that the target DT is able to use the codified and private information about the state of the sharing DT before the changes are apparent through their effect on its system.

  • FERRIOL GALMÉS, MIQUEL: Network modeling using graph neural networks
    Author: FERRIOL GALMÉS, MIQUEL
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 06/06/2024
    Thesis director: CABELLOS APARICIO, ALBERTO | BARLET ROS, PERE

    Committee:
         PRESIDENT: PESCAPÈ, ANTONIO
         SECRETARI: ARIAS VICENTE, MARTA
         VOCAL: RÉTVÁRI, GÁBOR
    Thesis abstract: Network modeling is central to the field of computer networks. Models are useful in researching new protocols and mechanisms, allowing administrators to estimate their performance before their actual deployment in production networks. Network models also help to find optimal network configurations, without the need to test them in production networks. Arguably, the most prevalent way to build these network models is through the use of discrete event simulation (DES) methodologies which provide excellent accuracy. State-of-the-art network simulators include a wide range of network, transport, and routing protocols, and are able to simulate realistic scenarios. However, this comes at a very high computational cost that depends linearly on the number of packets being simulated. As a result, they are impractical in scenarios with realistic traffic volumes or large topologies. In addition, and because they are computationally expensive, they do not work well in real-time scenarios.Another network modeling alternative is Queuing Theory (QT) where networks are represented as inter-connected queues that are evaluated analytically. While QT solves the main limitation of DES, it imposes strong assumptions on the packet arrival process, which typically do not hold in real networks.In this context, Machine Learning (ML) has recently emerged as a practical solution to achieve data-driven models that can learn complex traffic models while being extremely accurate and fast. More specifically, Graph Neural Networks (GNNs) have emerged as an excellent tool for modeling graph-structured data showing outstanding accuracy when applied to computer networks. However, some challenges still persist:1. Queues and Scheduling Policies: Modeling queues, scheduling policies, and Quality-of-Service (QoS) mappings within GNN architectures poses another challenge, as these elements are fundamental to network behavior.2. Traffic Models: Accurately modeling realistic traffic patterns, which exhibit strong autocorrelation and heavy tails, remains a challenge for GNN-based solutions.3. Training and Generalization: ML models, including GNNs, require representative training data that covers diverse network operational scenarios. Creating such datasets from real production networks is unfeasible, necessitating controlled testbeds. The challenge lies in designing GNNs capable of accurate estimation in unseen networks, encompassing different topologies, traffic, and configurations.4. Generalization to Larger Networks: Real-world networks are often significantly larger than testbeds. Scaling GNNs to handle networks with hundreds or thousands of nodes is a pressing challenge, one that requires leveraging domain-specific network knowledge and novel architectural approaches.This dissertation represents a step forward in harnessing Graph Neural Networks (GNN models) for network modeling, by proposing a new GNN-based architecture with a focus on addressing these critical challenges while being fast and accurate.

  • GEMMI, GABRIELE: Towards resilient wireless networks: mesh backhauls for 5G ultra-dense networks and rural Internet service provision
    Author: GEMMI, GABRIELE
    Thesis link: http://hdl.handle.net/10803/690614
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Change of supervisor
    Reading date: 22/02/2024
    Thesis director: CERDÀ ALABERN, LLORENÇ | MACCARI, LEONARDO

    Committee:
         PRESIDENT: ZENNARO, MARCO
         SECRETARI: MACCARI, LEONARDO
         VOCAL: FILIPPINI, ILARIO
    Thesis abstract: This thesis aims to investigate the efficacy and applicability of Wireless Backhaul Network (WBN) in two divergent contexts: ultra-dense urban networks for 5G and connectivity solutions for rural or digitally divided areas. WBN offer an adaptable and resilient framework for data transmission, making them an attractive option for the next generation of wireless networks, particularly 5G. In dense urban settings, where the demand for high data rates is pressing, wireless mesh backhauls can serve as a strategic asset in achieving the promised data throughput for 5G networks. These networks inherently require a dense deployment of nodes to deliver on their promise of high-speed, low-latency communication. Therefore, we analyze the role that wireless mesh backhauls can play in such densely populated areas, emphasizing their potential to meet or even exceed 5G’s high data rate expectations.Conversely, in rural or digitally divided areas, the economic feasibility of deploying traditional last-mile copper or fiber-optic networks often proves to be prohibitive. In such cases, WBN, deployed either as Wireless Community Network (WCN) or as part of a Wireless Internet Service Provider (WISP)’s infrastructure, can offer a viable alternative. This technology could bridge the digital divide by providing robust, cost-effective internet connectivity to underserved regions.To substantiate my findings, I leveraged Geographic Information Systems (GIS) technology and GPU-based computational methods together with graph analysis and simulations. GIS technology, leveraging different open datasets such as Digital Surface Models (DSM) and vectorial maps, make a detailed understanding of the geographical landscape possible, crucial for building detailed feasibility models in various environments. GPU-based computational methods accelerate the model analysis, enabling an in-depth evaluation within a reasonable timeframe. As a result I was able to optimize various network aspects, such as node placement, network topology and energy consumption, which are critical parameters for the effective deployment of these networks.This work integrates these computational methods and technologies to offer a comprehensive view of how wireless mesh backhauls can be efficiently deployed in both urban and rural settings. The results offer valuable insights into the network architecture best suited for each context, with particular attention to scalability and resiliency. In summary, this thesis contributes to a broader understanding of the potential that wireless mesh backhauls hold in addressing the connectivity requirements of diverse settings, ranging from the ultra-dense urban environment required for 5G to the unique challenges posed by rural and digitally divided regions.

  • GÓMEZ SÁNCHEZ, GONZALO: Exploring genomic datasets through machine learning methods leveraging high-performance computing
    Author: GÓMEZ SÁNCHEZ, GONZALO
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 10/07/2024
    Thesis director: BERRAL GARCÍA, JOSEP LLUÍS | CARRERA PÉREZ, DAVID

    Committee:
         PRESIDENT: GARCÍA LÓPEZ, PEDRO
         SECRETARI: RUIZ RAMÍREZ, MARC
         VOCAL: CIRILLO, DAVIDE
    Thesis abstract: In recent years, the exponential increase of generated data has raised the need for implementing new methodologies to process the huge datasets being created. High-Performance Computing (HPC) brings together a set of technologies mainly based on parallel computing that help reduce the time expended analyzing these datasets. A research field where these technologies are needed is Computational Genomics. Furthermore, the complexity of the genomic datasets limits the use of basic conventional methods for the discovery of complex significant relations, introducing the need for Machine learning (ML) algorithms and robust statistical methods to better classify these variants. In the first part of the thesis, we aim to identify complex patterns of somatic genomic rearrangements in cancer samples, which are triggered by internal cellular processes and environmental factors. The problem of classification becomes particularly challenging when considering thousands of rearrangements at a time, often composed of multiple DNA breaks, increasing the difficulty in classifying and interpreting them functionally. Here we present a new statistical approach to analyze structural variants (SVs) from 2,392 tumor samples from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium and identify significant recurrence. The proposed methodology is able not only to identify complex patterns of SVs across different cancer types but also to prove them as not random occurrences, identifying a new class of pattern composed of three SVs that was not previously described. In the second part of the thesis, we approach another challenge of human genetics, which is the study of the relation between single nucleotide variants (SNVs) and complex diseases, such as Type 2 Diabetes, Asthma, or Alzheimer's. The study of these disease-variant associations is usually performed in a single independent manner, disregarding the possible effect derived from the interaction between genomic variants. Here, we have created a containerized framework that uses Multifactor Dimensionality Reduction (MDR) to detect combinations of variants associated with Type 2 Diabetes (T2D), called Variant Interaction Analysis (VIA). This methodology has been tested in the Northwestern University NUgene project cohort using a subset of 1,883,192 variant pairs with some degree of association with T2D and identifying a subset of 104 significant pairs, two exhibiting a potential functional relationship with T2D. The developed algorithm has been released in an open-source repository, including the containerized HPC framework, which can be used to search for significant pairwise interactions in other datasets.In both frameworks developed within the thesis, the use of large-scale supercomputing architectures has been a hard requirement to find relevant clinical indicators. To ensure open and broad access to HPC technologies, governments, and academia are pushing toward the introduction of novel computing architectures in large-scale scientific environments. This is the case of RISC-V, an emerging open standard instruction-set architecture. To evaluate such technologies, in the last two parts of the thesis, we propose the use of our VIA use case as a benchmarking, providing the first genomic application for RISC-V. With this use case, we provide a representative case for heavy ETL (Extract, Transform, Load) data processing. We developed a version of the VIA workload for RISC-V and adapted our implementation in x86-based supercomputers (e.g. Marenostrum IV at the Barcelona Supercomputing Center (BSC)) to make a fair comparison with RISC-V, since some technologies are not available there. With this benchmark, we have been able to indicate the challenges and opportunities for the next RISC-V developments and designs to come, from a first comparison between x86 and RISC-V architectures on genomic workload executions over real hardware implementations.

  • HAGHI, ABBAS: FPGA and ASIC accelerators for genome data analysis
    Author: HAGHI, ABBAS
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 19/03/2024
    Thesis director: MORETÓ PLANAS, MIQUEL | ÁLVAREZ MARTÍ, LLUC

    Committee:
         PRESIDENT: PETERSEN MOURA TRANCOSO, PEDRO
         SECRETARI: JIMENEZ GONZALEZ, DANIEL
         VOCAL: GOMEZ LUNA, JUAN
    Thesis abstract: The continuous progress of Moore’s Law in improving single-threaded performance (executiontime) through clock frequency and process node improvements has slowed down due to physicallimitations in silicon device physics. This has resulted in a shift towards using multicoreprocessors to achieve performance gains. However, the use of multiprocessing is limitedby Amdahl’s Law, in which the sequential parts of the applications restrict the speedups inparallel systems. Consequently, the technology industry is now emphasizing specialization anddeveloping domain-specific accelerators to enhance performance compared to general-purposecomputers.Genomics is a field that deals with the study of genes and their functions. Thanks to currentand ongoing advancements, each stage of development in sequencing technologies is able toproduce enormous amounts of data at an increasingly faster and cheaper way compared to itsprevious stage. However, the assembly and analysis of this data take extensive time on general-purpose processors, and the processor performance is growing at a much slower pace thanthe DNA sequencing speed. Hence, domain-specific accelerators are becoming increasinglyessential in the genomics field, especially for DNA assembly. Specialized hardware computingdevices designed for this specific domain can achieve significant performance improvementscompared to general-purpose computers. Thus, with domain-specific accelerators, the speed ofDNA assembly can keep up with the pace of DNA sequencing, allowing for quicker analysisand discoveries in the genomics field.The main goal of this thesis is to accelerate two critical applications of DNA assembly,k-mer counting and pairwise read alignment, using FPGAs and ASICs. The first contribution ofthis thesis targets accelerating the k-mer counting application using FPGAs and its adaptationin a genomics application called SMUFIN, a Somatic MUtation FINder. The second andthird contributions focus on exploiting FPGAs for accelerating the Wavefront Alignment(WFA), a novel pairwise read alignment algorithm for aligning DNA sequences generated bydifferent sequencing technologies. The accelerator in the second contribution is customized forshort DNA sequences of up to 300 bases, which are generated by next generation sequencingtechnologies, while the accelerator in the third contribution is customized for long DNAsequences of up to 50K bases, which are generated by third generation sequencing technologies.The fourth contribution proposes an ASIC accelerator of the WFA algorithm and its integrationin a RISC-V SoC. In all contributions, we analyze different parts of the application and portthe most time-consuming parts to the accelerator. We also modify and re-design the remainingCPU parts to better adapt them to the accelerator code and finally propose efficient co-designedaccelerated designs.In our first contribution, the integration of our k-mer counting accelerator improves theSMUFIN k-mer counting performance by 2.14× while consuming 2.93× less energy and1.57× less memory compared to the baseline multi-threaded software implementation. Theperformance of the WFA accelerators in the second and third contributions is evaluated usingone and two FPGAs. Compared to the baseline multi-threaded software implementation of theWFA running on a IBM POWER9 high-performance processor, our WFA accelerator for shortreads reaches performance improvements of up to 8.8× and 13.5× with one and two FPGAs,respectively. The WFA accelerator for long reads reaches performance improvementsof up to 5.6× and 9.9× with one and two FPGAs, respectively. In our fourthcontribution, our ASIC WFA accelerator integrated in the RISC-V SoC reaches performanceimprovements of up to 1076× compared to the single-threaded software implementation of theWFA on Sargantana, the RISC-V CPU of the chip.

  • JAMET, ALEXANDRE VALENTIN: Interaction between computer architecture and artificial intelligence
    Author: JAMET, ALEXANDRE VALENTIN
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 27/09/2024
    Thesis director: ÁLVAREZ MARTÍ, LLUC | CASAS GUIX, MARC

    Committee:
         PRESIDENT: ROS BARDISA, ALBERTO
         SECRETARI: CANAL CORRETGER, RAMON
         VOCAL: PERAIS, ARTHUR
    Thesis abstract: Since its inception with the first computing systems, computer architecture has lived through many revolutions and saw plenty of technological innovations. However, a significant challenge has persisted throughout the evolution of computing systems: the Memory Wall. To address this challenge, architects have devised various latency tolerance techniques, including cache hierarchy, cache replacement policies, hardware prefetching, and off-chip prediction. Cache hierarchy involves the use of intermediate memories, such as caches, to store frequently accessed data close to the processor, thereby reducing memory access latencies. Cache replacement policies determine which data blocks should be stored or evicted from caches based on predictions of future reuse. Hardware prefetching mechanisms aim to bring data blocks that are likely to be needed in the near future into the cache proactively. Off-chip prediction predicts whether a load demand request will benefit from cache access or if it will require a DRAM access, allowing for speculative fetching of data blocks from DRAM to hide memory access latencies. This thesis addresses the challenges of cache management and memory access optimization in modern computer architectures, focusing on improving performance and energy efficiency across a variety of workloads. It presents three main contributions. The first contribution critically assesses the effectiveness of contemporary Last Level Cache (LLC) replacement policies across a diverse spectrum of workloads, encompassing graph processing, scientific, industrial applications, as well as standard benchmark suites like SPEC CPU 2006 and SPEC CPU 2017. Despite exhibiting notable performance enhancements in conventional benchmark scenarios, these existing LLC replacement policies often falter in capturing the nuanced access patterns characteristic of modern High-Performance Computing (HPC) and big data workloads. In response to this challenge, two novel LLC replacement policies, namely Multi-Sampler Multiperspective (MS-MPPPB) and Multiperspective with Dynamic Features Selector (DS-MPPPB), are introduced and rigorously evaluated. Demonstrating superior efficacy across a broad array of workloads, these innovative policies offer heightened performance benefits tailored specifically for HPC and big data applications. The second contribution is dedicated to enhancing memory access patterns, specifically for graph-processing workloads. These workloads are renowned for their irregular memory access patterns and suboptimal data locality. This contribution targets the first level of the cache hierarchy, as careful analysis reveals that, when considering graph-processing workloads, the vast majority of L1D misses eventually require a DRAM access. Introducing the innovative Large Predictor (LP), this endeavor aims to discern between regular and irregular memory accesses, channeling irregular accesses efficiently through a dedicated Side Data Cache (SDC). By synergizing LP with SDC, notable performance enhancements are achieved, surpassing conventional cache hierarchies and state-of-the-art cache replacement policies, particularly within the realm of graph-processing applications. The third contribution presents the Two Level Perceptron (TLP) predictor, a sophisticated approach that integrates off-chip prediction with adaptive prefetch filtering within the first-level data cache (L1D). Leveraging a dual-layered structure composed of the First Level Predictor (FLP) and Second Level Predictor (SLP), TLP effectively mitigates average DRAM transactions while enhancing overall performance across both single-core and multi-core workloads. Collectively, these contributions advance the state-of-the-art in cache management and memory access optimization, providing insights and techniques to enhance the performance and energy efficiency of modern computer architectures across a variety of workloads.

  • JOSEPH, DIYA: Improving memory access efficiency for real-time rendering in tile-based GPU architectures
    Author: JOSEPH, DIYA
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 26/07/2024
    Thesis director: GONZÁLEZ COLÁS, ANTONIO MARIA | ARAGÓN ALCARAZ, JUAN LUIS

    Committee:
         PRESIDENT: XEKALAKIS, POLYCHRONIS
         SECRETARI: JIMENEZ GONZALEZ, DANIEL
         VOCAL: DE LUCAS CASAMAYOR, ENRIQUE
    Thesis abstract: Following the growing demands of applications mobile GPUs have greatly evolved in the past decade with expectations for continued advancement. These developments must address the rising performance demands and prioritize energy efficiency to accommodate the energy and temperature constraints of battery-powered, handheld devices. Main memory accesses are one of the main sources of energy consumption and occasionally a source of performance bottleneck in GPUs. The adoption of Tile-Based Rendering (TBR) architecture for many mobile GPUs in the late 1990s, marks a leap towards energy efficiency for mobile GPUs by enhancing locality and minimizing bandwidth-intensive memory accesses.The objective of this thesis is to enhance memory access efficiency in TBR GPU architectures for graphics applications. The strategy involves fine-tuning the structures in the memory hierarchy or altering the memory access patterns directed towards the memory hierarchy. By capitalizing on the unique characteristics of graphics applications, the goal is to boost both performance and energy efficiency with minimal hardware adjustments, thereby avoiding any adverse impact on general-purpose workloads running on GPUs.TBR architectures introduce an overhead through the creation of a specialized data structure for tiling which is stored in memory and cached in L1 and shared L2 caches. The OPT replacement policy, has been formally proven as optimal for minimizing misses but it is near-impossible to implement in hardware. The first proposal in this thesis brings the OPT to life, for this data structure. Along with other improvements in the L2, this proposal called TCOR results in a 13.8% decrease in the memory hierarchy energy consumption and an increased throughput in the Tiling Engine. DTexL, the second proposal in this thesis, increases the aggregated capacity of certain L1 caches by reducing replication of memory blocks. Contemporary GPUs have multiple GPU cores and a scheduler that distributes work (warps) among them, focusing on load balancing. These load balancing techniques are detrimental to texture memory locality in the L1 caches. We propose a new workload scheduler that favours texture locality and to overcome the resulting load imbalance, we propose a minor modification to the GPU architecture. DTexL results in a 46.8% decrease in L2 Accesses, a 19.3% increase in performance and a 6.3% decrease in total GPU energy. All this with a negligible overhead.Literature is plentiful in works exploiting cache locality for GPUs. A majority of them explore replacement or bypassing policies. In our third proposal, we surpass this exploration by fabricating a formal proof for a no-overhead quasi-optimal caching technique in the shared L2 for textures. We exploit the frame-to-frame reuse of textures by traversing frames in a boustrophedonic manner w.r.t. the conventional frame-to-frame tile order. We first approximate the texture access trace to a circular trace and then forge a formal proof for our proposal being optimal for such traces. We call our proposal Boustrophedonic Frames.Hiding memory latency is becoming a problem in contemporary GPUs. To address this challenge, we introduce WaSP as the final work in this thesis, a lightweight warp scheduler tailored for GPUs in graphics applications. WaSP strategically mimics prefetching by initiating a select subset of warps, termed priority warps, early in execution to reduce memory latency for subsequent warps. WaSP reduces average memory latency while maintaining locality for the majority of warps. While maximizing memory parallelism utilization, WaSP prevents saturating the caches with misses to avoid filling up the MSHRs. This approach reduces cache stalls that halt further accesses to the cache. Overall, WaSP yields a 3.9% performance speedup with a negligible overhead.

  • KOSTALAMPROS, IOANNIS - VATISTAS: Post-quantum cryptography acceleration for next generation computers
    Author: KOSTALAMPROS, IOANNIS - VATISTAS
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 13/09/2024
    Thesis director: MORETÓ PLANAS, MIQUEL | HERNANDEZ LUZ, CARLES

    Committee:
         PRESIDENT: CANO REYES, JOSE
         SECRETARI: MARTORELL BOFILL, XAVIER
         VOCAL: TSOUTSOURAS, VASILIOS
    Thesis abstract: The security of modern cryptographic schemes relies upon mathematical problems that are assumed to be hard to solve, like the Rivest-Shamir-Adleman (RSA) problem or the discrete logarithm problem over elliptic curves. Using the existing “classical” computers, all known algorithms attempting to solve these problems, would require such a big amount of computational time that will actually make the intercepted data useless by the time the attack finishes.Around 1997, Shor and Grover independently developed efficient quantum-computer algorithms that can give unprecedented speedup on certain mathematical problems. It then became evident that the advent of a large scale quantum computer can jeopardize secure communications. Nevertheless, it is still not clear whether there will exist large scale quantum computers able to break the current public key cryptographic standards. As a preemptive act, the National Institute of Standards and Technology (NIST) announced in 2015 its plans for transitioning to Post-Quantum (PQ) cryptographic algorithmic standards. The widespread adoption of the current standards , calls for further research on the efficiency and security of the PQ standards implementation on modern computing systems.This thesis intends to bridge the gap between the PQ cryptosystems’secure specification and their respectively secure and efficient implementation in advanced computing architectures.We specifically choose the PQ cryptosystem of Classic McEliece (CM), merely due to its long-standing security. CM has withstood attacks with minor modifications since its inception in 1978 and is currently a finalist of the NIST contest and has already been integrated in commercial products like VPN networks.This thesis comprises four main contributions. In the first one we present a hardware/software (HW/SW) co-design acceleration of the CM cryptosystem. The second contribution is geared towards the design and integration of custom designed and monolithic CM accelerators in a RISC-V based SoC. The third contribution strives to further optimize the performance of CM in hardware by introducing an advanced design of a monolithic accelerator for the encryption part of the CM cryptosystem. The final contribution of this thesis is moving away from a monolithic hardware accelerator and investigates the impact of vectorization by an SIMD unit on the CM application.With this thesis, we conclude a study conveyed on the CM cryptosystem, concerning its efficient hardware implementation on modern computing infrastructures. Nevertheless, there are numerous future research directions that could build on the knowledge gained as well as the hardware infrastructure designed in the context of this thesis. As such, we consider the secure implementation and side-channel mitigation on the CM hardware accelerators themselves and the performance evaluation of lightweight hardware implementations of CM.

  • LEDOUX, LOUIS EDUARDO YVES: Floating-point arithmetic paradigms for high-performance computing: software algorithms and hardware designs
    Author: LEDOUX, LOUIS EDUARDO YVES
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 02/10/2024
    Thesis director: CASAS GUIX, MARC

    Committee:
         PRESIDENT: PETIT, ERIC
         SECRETARI: MARTORELL BOFILL, XAVIER
         VOCAL: GARCIA, RÉMI
    Thesis abstract: This dissertation explores the challenges and advancements in arithmetic representations and computations within computer architectures, focusing on the limitations of the IEEE 754 standard.Modern computing demands, driven by advancements in AI, HPC, and scientific simulations, make efficient and precise numerical representations crucial. This work investigates these challenges and proposes innovative solutions, evaluating their impact on computational efficiency and accuracy.The core problem is the inefficiencies of the IEEE 754 standard for floating-point arithmetic, which do not meet the needs of modern workloads. These inefficiencies result in higher energy consumption, inadequate precision, and suboptimal performance, especially in energy-constrained environments and high-precision applications.To address these challenges, this thesis explores various facets of arithmetic computation, from algorithmic concepts to metal and silicon structures. It introduces mechanisms to improve the adaptability of numerical representations, allowing precision adjustments according to computational tasks, resulting in more efficient circuits. Focusing on improving arithmetic performance, the thesis addresses energy consumption and highlights the importance of efficient arithmetic logic units. It also shows how these solutions can be integrated into various software frameworks, revealing a correlation between numerical requirements and internal precision, highlighting an underexploited aspect of general-purpose floating-point formats.Firstly, it develops a framework for generating Posit operators in hardware, improving accuracy and performance in tasks like image classification. The Posit Operator Framework, described in SystemVerilog, enables the construction of Multi-Layer Perceptrons for inference engines, applicable in POWER9/CAPI2 environments with FPGA acceleration.Secondly, it presents a generator for Systolic Arrays optimized for Matrix-Matrix Multiplication (MMM), showing the impact of custom hardware configurations on accuracy and energy efficiency. The MMM units are fully parametrizable and adapted to the numerical specifications of the workload, facilitated by a core generator with automated pipelining. These units allow evaluations with CAPI2 on FPGA and POWER9 systems, achieving up to two Tera floating-point operations per second. They have also demonstrated success in ASIC generation.Additionally, it establishes an open-source framework to integrate MMM units into high-level software, offering energy savings and enhanced precision for applications like AI and scientific computations. The methodology involves mapping General Matrix-Matrix Multiplication calls in BLAS libraries to our accelerators via the OpenCAPI coherent link, saturating the 22 GBps bandwidth by tuning computer formats to accommodate more Processing Elements while preserving accuracy.Finally, the resurgence of vector processing leads to a reevaluation of division algorithms, revealing opportunities to use smaller and slower computing units, allowing more units within varied energy and power budgets. This approach shows a broad Design Space Exploration. We developed an open-source EDA ASIC flow, facilitating parallel generation of multiple chip designs, enabling systematic exploration of power, performance, and area across various process design kits to identify optimal configurations.These contributions form an interdisciplinary thesis that advances solutions to computing challenges from an arithmetic perspective, overcoming the "arithmetic wall."

  • MATSUMURA, KAZUAKI: Advancing the state of the art of directive-based programming for GPUs: runtime and compilation
    Author: MATSUMURA, KAZUAKI
    Thesis link: http://hdl.handle.net/10803/691406
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 02/05/2024
    Thesis director: PEÑA MONFERRER, ANTONIO JOSE

    Committee:
         PRESIDENT: CASTELLÓ GIMENO, ADRIÁN
         SECRETARI: AYGUADÉ PARRA, EDUARD
         VOCAL: EL HAJJ, IZZAT
    Thesis abstract: The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such models involve a least engineering cost for enabling computational acceleration on multiple architectures, while programmers are only required to add meta information upon sequential code. Optimizations for obtaining the best possible efficiency, however, are often challenging. The insertions of directives by the programmer can lead to side-effects that limit the available compiler optimization possible, which could result in performance degradation. This is exacerbated when targeting asynchronous execution or multi-GPU systems, as pragmas do not automatically adapt to such mechanisms, and require expensive and time consuming code adjustment by programmers. Moreover, directive-based programming models such as OpenACC and OpenMP often prevent programmers from making additional optimizations to take advantage of the advanced architectural features of GPUs because the actual generated computation is hidden from the application developer.This dissertation explores new possibilities for optimizing directive-based code from both runtime and compilation perspectives. First, we introduce a runtime framework for OpenACC to facilitate dynamic analysis and compilation. Especially, our framework realizes automatic asynchronous execution and multi-GPU use based on the status of kernel execution and data availability while taking advantage of an on-the-fly mechanism for compilation and program optimization. We add a versatile code-translation method for multi-device utilization by which manually-optimized applications can be distributed automatically while keeping original code structure and parallelism. Second, we implement a novel flexible optimization technique that operates by inserting a code emulator phase to the tail-end of the compilation pipeline. Our tool emulates the generated code using symbolic analysis by substituting dynamic information and thus allowing for further low-level code optimizations to be applied. We implement our tool to support both CUDA and OpenACC directives as the frontend of the compilation pipeline, thus enabling low-level GPUoptimizations for OpenACC that were not previously possible. Third, we propose the use of a modern optimization technique, equality saturation, to optimize sequential code utilized in directive-based programming for GPUs. Our approach realizes less computation, less memory access, and high memory throughput simultaneously. Our fully-automated framework constructs single-assignment forms from inputs to be entirely rewritten while keeping dependencies and extracts optimal cases. Overall, we cover runtime techniques and optimization methods based on dynamic information, low-level operations, and user-level opportunities.We evaluate our proposals on the state-of-the-art GPUs and provide detailed analysis for each technique. For multi-GPU use, we show in some cases nearly linear scaling on the part of kernel execution with the NVIDIA V100 GPUs. While adaptively using multi-GPUs, the resulting performance improvements amortize the latency of GPU-to-GPU communications. Regarding low-level optimization, we demonstrate the capabilities of our tool by automating warp-level shuffle instructions that are difficult to use by even advanced GPU programmers. While evaluating our tool with a benchmark suite and complex application code, we provide a detailed study to assess the benefits of shuffle instructions across four generations of GPU architectures. Lastly, with sequential code optimization, we demonstrate a significant performance improvement on several compilers through practical benchmarks.Then, we highlight the advantages of computational reordering and emphasize the significance of memory-access order for modern GPUs.

  • NESTOROV, ANNA MARIA: Optimizing serverless architectures for data-intensive analytics workloads
    Author: NESTOROV, ANNA MARIA
    Thesis link: http://hdl.handle.net/10803/691407
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 03/05/2024
    Thesis director: CARRERA PÉREZ, DAVID | BERRAL GARCÍA, JOSEP LLUÍS

    Committee:
         PRESIDENT: SANCHEZ ARTIGAS, MARC
         SECRETARI: GUITART FERNANDEZ, JORDI
         VOCAL: TAHERKORDI, AMIRHOSEIN
    Thesis abstract: Recently, serverless computing has garnered attention from academia and industry due to its on-demand resource provisioning, allowing users to focus solely on their core business logic by breaking down tasks into small stateless functions.Serverless offers benefits like a 'pay-per-use' cost model, greater flexibility, and transparent elastic resource auto-scaling.Researchers in academia and industry are increasingly exploring serverless computing's potential in complex, data-intensive analytics. These tasks, resource-heavy and highly parallel, involve significant inter-function communications. However, this shift presents challenges, requiring alignment with the specific needs and constraints of such applications. This research area is currently considered one of the most compelling areas of study. This thesis shows that it is possible to efficiently execute modern data-intensive analytics workloads, traditionally deployed in managed cloud clusters, within serverless computing environments using direct data inter-function communication and optimized performance-cost efficient resource allocation policies. To demonstrate this thesis, we first build a performance model for serverless workloads, considering data sharing, volume, and communication technologies. The model, with a relative error of 5.52%, evaluates the performance of a representative workload in serverless, analyzing task granularity and concurrency, data locality, resource allocation, and scheduling policies. Our results indicate that the performance of data-intensive analytics workloads in serverless can be up to 4.32x faster depending on how these are deployed. Furthermore, this characterization highlights inefficiencies in centralized object storage and stresses the primary importance of efficient resource use.We then introduce Floki, a data forwarding system that tackles the centralized object storage bottleneck. It enables direct communication between producer-consumer function pairs using fixed-size communication methods. Floki establishes point-to-point data channels for intra- and inter-node data transmission, allowing transparent data transfer and reducing network data copying. This workflow-oriented approach boosts performance and minimize resource requirements without restricting function placement.Our experimental evaluation, performed on the principal communication patterns in distributed systems, shows that Floki reduces the end-to-end time up to 74.95x, decreasing the most extensive data sharing time from 12.55 to 4.33 minutes, saving almost two-thirds of time. Additionally, Floki achieves up to 50,738x of resource-saving, equivalent to a memory allocation of approximately 1.9MB instead of an object storage allocation of 96GB.Finally, we investigates how to achieve efficient resource utilization in modern serverless environments and proposes Dexter, a novel resource allocation manager, leveraging serverless computing elasticity. Dexter continuously monitors application execution, dynamically allocating resources at a fine-grained level combining predictive and reactive strategies to ensure performance-cost efficiency (optimizing total runtime cost). Unlike black-box Machine Learning (ML) models, Dexter reaches a sufficiently good solution, prioritizing simplicity, generality, and ease of understanding. The proposed experimental evaluation demonstrates that our solution achieves a significant cost reduction of up to 4.65x, while improving resource efficiency up to 3.50x, when compared with the default serverless Spark resource allocation that dynamically requests exponentially more executors to accommodate pending tasks. Dexter also enables substantial resource savings, demanding up to 5.71x fewer resources. Dexter is a robust solution to new, unseen workloads, achieving up to 2.72x higher performance-cost efficiency thanks to its conservative resource scaling approach.

  • SALA PENADES, KEVIN: Exploiting synergies between message-passing and task-based programming models
    Author: SALA PENADES, KEVIN
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 20/09/2024
    Thesis director: BELTRAN QUEROL, VICENÇ | AYGUADÉ PARRA, EDUARD

    Committee:
         PRESIDENT NO PRESENCIAL: BULL, JONATHAN MARK
         SECRETARI: MARTORELL BOFILL, XAVIER
         VOCAL: THIBAULT, SAMUEL
    Thesis abstract: Modern supercomputing systems feature thousands of computing nodes that already provide hundreds of cores. Parallelizing scientific and engineering applications to leverage all these resources has become a significant challenge for the HPC community. Any application that aims to perform well at scale must efficiently orchestrate and exploit both inter- and intra-node parallelism. Multiple programming models exist to exploit each of these parallelism classes. MPI and OpenMP are de facto standards for distributed- and shared-memory parallelism, respectively. MPI is a message-passing interface based on processes with separate virtual address spaces, while OpenMP defines thread-based and task-based interfaces for shared-memory parallelization. Applications can combine both types of programming models to take advantage of their particular benefits in a technique called hybrid parallel programming.Combining task-based and message-passing programming models is a promising hybrid approach that can provide a high-performance data-flow model without damaging the programmability of applications. An application can be represented as a set of directed acyclic graphs (DAGs) with one independent graph per process. Vertices represent tasks comprising computations and communications, edges represent the data dependencies among tasks, and the tasks from distinct processes (i.e., different DAGs) can communicate through message passing. This way, the intra- and inter-node parallelism is smoothly orchestrated through the task graphs. Moreover, this data-flow approach has other benefits: fine synchronizations through data dependencies and inter-process messages, the natural overlap and intertwining of application phases (e.g., computation and communication), and an automatic load balancing within each process. However, the current standards (e.g., MPI and OpenMP) prevent tasks from issuing communications efficiently, as severe performance and programmability issues must be tackled.This thesis designs and implements software solutions that allow task-based applications to efficiently incorporate communications inside their task graphs. We solve the well-known interoperability issues between task-based and message-passing programming models through two task-aware libraries. The two new libraries provide full support to application tasks that issue communications through task-aware communication operations, which can feature blocking or non-blocking semantics. The TAMPI library supports two-sided MPI communications (e.g., send/receive and collectives), and the TAGASPI library supports the one-sided communications (also known as RMA) provided by the GASPI interface. Furthermore, our task-aware mechanisms are generic enough to incorporate any other blocking or non-blocking interface (e.g., for GPU offloading) with task-based models.Our hybrid data-flow approach, which combines tasking and message passing, provides performance, scalability, and programmability for task-based applications on highly parallel systems. We demonstrate these benefits by porting several benchmarks and applications and comparing our approach with other state-of-the-art techniques.

  • SHARMA, ROBIN KUMAR: Parallelizing recurrent neural network and variants
    Author: SHARMA, ROBIN KUMAR
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 05/09/2024
    Thesis director: CASAS GUIX, MARC

    Committee:
         PRESIDENT: QUINTANA ORTI, ENRIQUE SALVADOR
         SECRETARI: ARMEJACH SANOSA, ADRIÀ
         VOCAL: VALLEJO GUTIÉRREZ, ENRIQUE
    Thesis abstract: Recurrent neural networks (RNN) have succeeded remarkably in various domains, such as Automatic Speech Recognition, Sentiment Analysis, time-series prediction, and Machine Translation. Despite their versatility, RNN poses significant challenges due to their complex internal structures, which impede the effective use of model parallelism. This often leads to a reliance on data parallelism to accelerate RNN performance. Furthermore, RNN demands extensive computational resources due to their large parameter counts. This doctoral research proposes innovative High-Performance Computing (HPC) strategies to optimize RNN deployment on CPUs, enhancing their efficiency in resource-limited settings. Through algorithmic improvements and memory-efficient techniques, this work seeks to maximize the potential of parallel computing for RNN, thereby transforming AI parallel system landscapes.This thesis introduces "Wavefront-Parallelization" (W-Par), which integrates model parallelism into unidirectional RNN to enhance inference and training on CPUs. W-Par utilizes fine-grained pipeline parallelism through wavefront computations, which are particularly effective for multi-layer RNNs on multi-core CPUs. These techniques allow for efficient workload distribution across parallel tasks while managing the dependencies of each RNN cell. Empirical results show that W-Par significantly outperforms existing implementations, achieving speed-ups of up to 6.6x times on contemporary multi-core CPU architectures, and maintains robust performance across various core and memory configurations without requiring source code modifications.Additionally, the thesis presents "Bidirectional-Parallelization" (B-Par), a novel execution model for Bidirectional Recurrent Neural Networks (BRNN). B-Par leverages inherent data and control dependencies in forward and reverse-order RNN in BRNN, dividing workloads efficiently across parallel tasks without needing layer-specific synchronization barriers. Tests on the TIDIGITS speech database and Wikipedia dataset demonstrate that B-Par significantly exceeds the performance of leading frameworks like TensorFlow-Keras and PyTorch, with speed-ups of up to 2.34x and 9.16x times, respectively, while maintaining accuracy.Finally, this thesis introduces the "Semi-Bidirectional RNN" (SB-RNN), a novel architecture that synergistically integrates the strengths of both unidirectional and bidirectional RNN. SB-RNN maintains the parameter count of unidirectional RNN while incorporating backward connections across layers to enhance the capability for information retention. This architecture enables SB-RNN to match and potentially exceed the accuracy of unidirectional RNN and bidirectional RNN (BRNN) across both CPU and GPU environments. Specifically, on the sentiment analysis task of the Stanford Sentiment Treebank (SST) dataset, SB-RNN demonstrates superior performance with 56.61% fewer parameters than their unidirectional counterparts, leading to a significant reduction in training time by 52.94%.Overall, this thesis introduces three advanced techniques: W-Par, B-Par, and SB-RNN - that significantly improve the efficiency and performance of RNN and BRNN models on multi-core CPUs and GPUs, facilitating enhanced processing across various applications without extensive code alterations.

  • TARANCO SERNA, RAÚL: Architectural strategies to enhance the latency and energy efficiency of mobile continuous visual localization systems
    Author: TARANCO SERNA, RAÚL
    Thesis link: http://hdl.handle.net/10803/692250
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 29/08/2024
    Thesis director: ARNAU MONTAÑES, JOSÉ MARÍA | GONZÁLEZ COLÁS, ANTONIO MARIA

    Committee:
         PRESIDENT: BEIVIDE PALACIO, JULIO RAMON
         SECRETARI: BARRADO MUXI, CRISTINA
         VOCAL NO PRESENCIAL: REDDI, VIJAY JANAPA
    Thesis abstract: The emergence of new applications such as autonomous machines (e.g., robots or self-driving cars) and XR (Extended Reality) promises to revolutionize how society interacts with technology in the rapidly advancing digital era. These technologies, deployed on edge devices, often rely on mobile or embedded SoCs (Systems-on-a-Chip) operating CV (Continuous Vision) pipelines that periodically capture and analyze environmental light.A typical CV SoC comprises two main components: a frontend for image capture and a backend for processing vision algorithms. The frontend usually includes an off-chip camera sensor and an ISP (Image Signal Processor), which processes the pixel stream, converting raw sensor data into high-quality images. The backend—comprising components such as the CPU, GPU, or specialized accelerators—analyzes the images stored in the main memory's framebuffer to extract perception insights and enable advanced decision-making.Existing research identifies visual localization, object detection, and tracking as the primary bottlenecks in these emerging applications. Those algorithms face two principal challenges when deployed in mobile CV systems: latency and energy consumption. For example, an XR headset uses visual localization to track head motion for accurate frame rendering, where latency can cause discomfort. In self-driving cars, localization ensures centimeter-level precision, with delays compromising safety, especially at higher speeds. Additionally, high energy consumption limits the operation of battery-powered mobile systems.This thesis embarks on a strategic journey to elevate mobile CV systems' performance and energy efficiency through several key contributions:We begin by analyzing a state-of-the-art visual localization engine on a CPU. The localization engine processes camera images, extracting and tracking features to estimate camera pose. Our evaluations reveal feature extraction as the primary bottleneck, accounting for 60% to 90% of total localization latency.Next, we investigate highly specialized hardware accelerator designs for image processing. The first contribution is LOCATOR (Low-power ORB Accelerator for Autonomous Cars), a hardware accelerator designed for ORB (Oriented FAST and Rotated BRIEF) feature extraction. LOCATOR processes image tiles with two parallel pipelines for feature detection and description, employing techniques like optimal static bank access patterns, caching mechanisms, and selective port replication. These optimizations yield a 16.8× speedup for ORB feature extraction, 1.9× end-to-end speedup, and 2.1× energy reduction per frame compared to a baseline mobile CPU.Realizing the need for more programmable and versatile solutions, our second contribution, SLIDEX (Sliding Window Extension for Image Processing), introduces a domain-specific vector ISA extension for CPUs. SLIDEX exploits the sliding window processing model, interpreting vector registers as overlapping windows to maximize data-level parallelism. SLIDEX reduces data access and movement, enhancing tasks like 2D convolutions and stencil operations, resulting in a 1.2× speedup and up to 19% energy reduction.The third contribution, δLTA (δon't Look Twice, It's Alright), decouples camera frame sampling from backend processing. δLTA allows the frontend to identify and skip redundant image regions, focusing processing only on significant changes. δLTA reduces unnecessary memory accesses and redundant computations, lowering localization tail and average latency by 7.2% and 15.2%, respectively, and energy consumption by 17%.Finally, IRIS (Image Region ISP-Software Prioritization) repurposes computations performed by the frontend ISP, segmenting and prioritizing image regions based on detail and motion. IRIS allows the backend to process relevant regions first, reducing latency and energy consumption by up to 9% in tail latency, 20% in average latency, and 16% in energy savings without additional overhead.

  • WANG, SHAOXUAN: Coordination of smart B5G radio access and autonomous optical transport networks
    Author: WANG, SHAOXUAN
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 09/10/2024
    Thesis director: RUIZ RAMÍREZ, MARC

    Committee:
         PRESIDENT: MARTINEZ RIVERA, RICARDO VICTOR
         SECRETARI: CASTILLO REYES, OCTAVIO
         VOCAL NO PRESENCIAL: HERNÁNDEZ GUTIERREZ, JOSÉ ALBERTO
    Thesis abstract: Future radio access network (RAN) will operate with massive and heterogeneous small-cell deployments and end-to-end (e2e) connectivity in support of diverse beyond fifth-generation (B5G) use cases. More and more connectivity services are requiring not only stringent but also more predictable Quality of Service (QoS) performance, measured in terms of key performance indicators (KPI) such as throughput and capacity. With the advent of Open RAN (O-RAN), the implementation of flexible function splits/placement for guaranteeing target latency requirements and improved reliability is enabled. This smart operation must also precisely match capacity requirements, which typically reduces energy consumption, by managing the number of active base stations (BS) that are required to support user traffic requirements.In addition to RAN, access and metro optical networks play a fundamental role to meet e2e requirements, in terms of both capacity and latency. Thus, optical transport networks can operate autonomously, e.g., to adapt optical capacity to current traffic. Nevertheless, the foreseen B5G scenarios poses challenges to autonomous optical network operation, since smart RAN operation generates highly variable and unpredictable traffic. Indeed, smart operation of both RAN and fixed network makes difficult to achieve optimal e2e connectivity performance if they are done independently. Instead, both domains can share knowledge and coordinate with the objective of guaranteeing strict QoS requirements and efficient resource utilization of e2e connectivity services.This Ph.D. thesis is dedicated to developing solutions that coordinate both smart and autonomous operation of RAN and fixed optical network segments under B5G foreseen scenarios. To this aim, three goals are defined. The first goal aims at providing a methodology for smart operation of RAN cells with dense deployment of BSs, which is one of the most challenging scenarios envisioned for B5G networks. Relying on Open-RAN capabilities regarding monitoring and control loops, an AI-based approach that integrates both supervised and unsupervised machine learning algorithms to achieve intelligent RAN operation is proposed. The objective is to minimize energy consumption by switching on/off BSs while providing the desired coverage and required capacity needs.From the previous contributions and lessons learnt, the second goal focuses on analyzing the impact in terms of traffic to be supported by the underlying access and metro optical networks assuming smart RAN operation. The main conclusion of this goal is that smart RAN operation can have a critical affectation on underlying optical transport, which requires coordination between RAN and optical networks for efficient e2e network management.In light of the above, the third goal tackles two different use cases where coordination between smart RAN operation and autonomous optical network management provide benefits and allow e2e QoS assurance. On the one hand, a procedure for which RAN configuration changes to be performed are anticipated to the fixed network controller is proposed. By means of contextual data, fixed access and metro traffic prediction models are extended with RAN context in order to predict ongoing sharp traffic changes. On the other hand, a second use case focuses in the scenario of serving particular services where a maximum e2e delay need to be assured. In particular, a dynamic coordination mechanism is proposed, where actual RAN delay is informed in case that this exceeds a given level, so that the fixed network controller can adapt its budget and take decisions according to the new constraint.The research leading to these results has received funding from the Smart Networks and Services Joint Undertaking under the European Union's Horizon Europe research and innovation programme under Grant Agreement No. 101096120 (SEASON), and the MICINN IBON (PID2020-114135RB-I00) projects and from the ICREA Institution.

  • YU, CHENLE: Leveraging the potential of task-based programming with OpenMP task graphs
    Author: YU, CHENLE
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: Department of Computer Architecture (DAC)
    Mode: Normal
    Reading date: 25/10/2024
    Thesis director: QUIÑONES MORENO, EDUARDO | ROYUELA ALCÁZAR, SARA

    Committee:
         PRESIDENT: TERBOVEN, CHRISTIAN
         SECRETARI: LABARTA MANCHO, JESUS JOSE
         VOCAL: MARONGIU, ANDREA
    Thesis abstract: The task execution model is widely used in computer engineering, it helps developers to design, develop and understand software systems. OpenMP is the de-facto programming model to parallelize sequential algorithms on shared-memory machines. Coupled with the task parallelization, OpenMP is able to conveniently parallelize structured and non-structured applications, it also allows users to offload work onto accelerators as target tasks. However, the runtime overhead incurred by the OpenMP tasking model is an important concern for users to develop OpenMP task programs. This work focuses on improving OpenMP tasking model.Firstly, we carried out an analysis of the performance overhead and bottleneck of mainstream task implementations and proposed a solution in the OpenMP specification to tackle it. To elaborate, we observe that a significant portion of the overhead in the tasking model stems from thread contention, where multiple threads compete to access shared resources simultaneously, such as task queues, causing these threads to stall. As the number of cores in modern architectures increases, this further hampers the scalability of OpenMP tasking. We propose a mechanism that creates graphs representing sets of OpenMP tasks. Once built, executing such graphs incurs less runtime overhead by drastically reducing the access to shared resources. This mechanism is exposed to the users as a new OpenMP directive, namely Taskgraph.Secondly, we implemented the proposed solution, the taskgraph directive, in both GCC (prototype implementation) and LLVM compilers (complete implementation). Initially, our focus was on the GCC compiler, particularly its runtime system: libgomp. Our prototype implementation in this compiler demonstrated promising performance improvement using taskgraph. However, it also revealed a performance bottleneck in libgomp: all tasks are scheduled into a common queue, leading to significant contention and resulting in poor performance and scalability compared to LLVM.The complete implementation of the taskgraph framework is in the LLVM compiler. Our modifications in the compiler range from the front-end to the middle-end of the compiler, in addition to its runtime library: libomp. This framework allows users to declare taskgraph directives in OpenMP C/C++ code to create graphs conveniently, at either compile time or run-time. The experiments show that the taskgraph framework outperforms the original task implementations from GCC and LLVM. We carried out the experiments on nodes of the Marenostrum4 supercomputer.Finally, we enhance the OpenMP offloading mechanism by leveraging taskgraph. Particularly, we implemented the transformation of taskgraph to CUDA graphs. Consequently, our framework enhances the interoperability of OpenMP with other programming models (in this case, CUDA) and improves the performance of OpenMP accelerator model by alleviating the synchronization overhead.With these contributions, this thesis ameliorates both the OpenMP tasking and accelerator models. The framework has been used by other Ph.D. students to develop their research, for example, Cyril Cetre from Thales Research and Technology successfully improved the performance of a cyber-physical application by utilizing static generation of CUDA graphs, as presented in this manuscript. Furthermore, the OpenMP Language Committee accepted our proposition to include the taskgraph directive into the OpenMP Specification v6.0. This thesis also contributed to the upstream LLVM repository. These commits are mainly focused on the record-and-replay mechanism of taskgraph, serving also as a basis for the official taskgraph implementation in the LLVM. We hope with these endeavors, this work will promote the use of OpenMP task in general.

Last update: 06/11/2024 06:01:27.

Theses related publications

AUTHOR:GÓMEZ SÁNCHEZ, GONZALO
Title:Exploring genomic datasets through machine learning methods leveraging high-performance computing
Reading date:10/07/2024
Director:BERRAL GARCÍA, JOSEP LLUÍS
Co-director:CARRERA PÉREZ, DAVID
Mention:No mention
RELATED PUBLICATIONS
Challenges and opportunities for RISC-V architectures towards genomics-based workloads
Gómez , G.; Call, A.; Teruel, X.; Alonso, L.; Morán, I.; Pérez, M.; Torrents, D.; Berral, J.
Springer
Publication date: 2023
Book chapter

Clustering and graph mining techniques for classification of complex structural variations in cancer genomes
Gómez , G.; Delgado, L.; Carrera, D.; Torrents, D.; Berral, J.
Scientific reports, ISSN: 2045-2322 (JCR Impact Factor-2022: 4.6; Quartil: Q2)
Publication date: 28/02/2022
Journal article

Exhaustive variant interaction analysis using multifactor dimensionality reduction
Gómez , G.; Alonso, L.; Pérez, M.; Morán, I.; Torrents, D.; Berral, J.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2023: 2.5; Quartil: Q1)
Publication date: 13/06/2024
Journal article

AUTHOR:ALBUQUERQUE PORTELLA, FELIPE
Title:A paradigm shift of HPC for geosciences: a novel HPC service model for geosciences applications
Reading date:06/06/2024
Director:BERRAL GARCÍA, JOSEP LLUÍS
Co-director:CARRERA PÉREZ, DAVID
Mention:International Mention
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You only run once: Spark auto-tuning from a single run
Buchaca, D.; Albuquerque, F.; Costa, C.; Berral, J.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2020: 4.195; Quartil: Q2)
Publication date: 12/2020
Journal article

TunaOil: A tuning algorithm strategy for reservoir simulation workloads
Albuquerque, F.; Buchaca, D.; Rodrigues, J.; Berral, J.
Journal of computational science, ISSN: 1877-7503 (JCR Impact Factor-2022: 3.3; Quartil: Q2)
Publication date: 09/2022
Journal article

MScheduler: leveraging spot instances for high-performance reservoir simulation in the cloud
14th IEEE International Conference on Cloud Computing Technology and Science
Presentation date: 04/12/2023
Presentation of work at congresses

AUTHOR:FERRIOL GALMÉS, MIQUEL
Title:Network modeling using graph neural networks
Reading date:06/06/2024
Director:CABELLOS APARICIO, ALBERTO
Co-director:BARLET ROS, PERE
Mention:No mention
RELATED PUBLICATIONS
The graph neural networking challenge: a worldwide competition for education in AI/ML for networks
Suarez-varela, J.; Ferriol, M.; Lopez, A.; Almasan, P.; Bernárdez, G.; Pujol, D.; Rusek, K.; Bonniot, L.; Neumann, C.; Schnitzler, F.; Taïani, F.; Happ, M.; Barlet, P.; Albert Cabellos-Aparicio
Computer communication review, ISSN: 0146-4833 (JCR Impact Factor-2021: 1.937; Quartil: Q4)
Publication date: 01/07/2021
Journal article

IGNNITION: Bridging the gap between graph neural networks and networking systems
Pujol, D.; Suarez-varela, J.; Ferriol, M.; Xiao, S.; Wu, B.; Albert Cabellos-Aparicio; Barlet, P.
IEEE network, ISSN: 0890-8044 (JCR Impact Factor-2021: 10.294; Quartil: Q1)
Publication date: 11/2021
Journal article

FlowDT: A Flow-aware Digital Twin for computer networks
Ferriol, M.; Cheng, X.; Shi, X.; Xiao, S.; Barlet, P.; Albert Cabellos-Aparicio
IEEE International Conference on Acoustics, Speech and Signal Processing. ICASSP proceedings, ISSN: 0736-7791
Publication date: 27/04/2022
Journal article

Network digital twin: context, enabling technologies, and opportunities
Almasan, P.; Ferriol, M.; Paillisse, J.; Suarez-varela, J.; Perino, D.; Lopez, D.; Pastor, A.; Harvey, P.; Ciavaglia, L.; Wong, L.; Xiao, S.; Ram, V.; Shi, X.; Cheng, Xiangle; Albert Cabellos-Aparicio; Barlet, P.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2022: 11.2; Quartil: Q1)
Publication date: 11/2022
Journal article

Building a digital twin for network optimization using graph neural networks
Ferriol, M.; Suarez-varela, J.; Paillisse, J.; Shi, X.; Xiao, S.; Cheng, Xiangle; Barlet, P.; Albert Cabellos-Aparicio
Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2022: 5.6; Quartil: Q1)
Publication date: 09/11/2022
Journal article

Graph neural networks for communication networks: context, use cases and opportunities
Suarez-varela, J.; Almasan, P.; Ferriol, M.; Rusek, K.; Geyer, F.; Cheng, X.; Shi, X.; Xiao, S.; Scarselli, F.; Albert Cabellos-Aparicio; Barlet, P.
IEEE network, ISSN: 0890-8044 (JCR Impact Factor-2021: 18.7
Publication date: 05/2023
Journal article

RouteNet-Fermi: network modeling with graph neural networks
Ferriol, M.; Paillisse, J.; Suarez-varela, J.; Rusek, K.; Xiao, S.; Shi, X.; Cheng, Xiangle; Barlet, P.; Albert Cabellos-Aparicio
IEEE/ACM transactions on networking, ISSN: 1558-2566 (JCR Impact Factor-2021: 3.796; Quartil: Q1)
Publication date: 12/2023
Journal article

Decentralised Internet infrastructure: Securing inter-domain routing (DEMO)
Annual IEEE Conference on Computer Communications 2021
Presentation date: 05/2021
Presentation of work at congresses

IGNNITION: A framework for fast prototyping of Graph Neural Networks
1st Workshop on Graph Neural Networks and Systems
Presentation date: 09/04/2021
Presentation of work at congresses

IGNNITION: fast prototyping of graph neural networks for communication networks
ACM SIGCOMM Poster and Demo Sessions 2021
Presentation date: 25/08/2021
Presentation of work at congresses

RouteNet-Erlang: A graph neural network for network performance evaluation
41st Annual IEEE International Conference on Computer Communications
Presentation date: 2022
Presentation of work at congresses

AUTHOR:MATSUMURA, KAZUAKI
Title:Advancing the state of the art of directive-based programming for GPUs: runtime and compilation
Reading date:02/05/2024
Director:PEÑA MONFERRER, ANTONIO JOSE
Mention:International Mention
RELATED PUBLICATIONS
Multi-GPU design and performance evaluation of homomorphic encryption on GPU clusters
Al Badawi, A.; Veeravalli, B.; Lin, J.; Nan, X.; Matsumura, K.; Mi Mi, K.
IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2021: 3.757; Quartil: Q1)
Publication date: 01/02/2021
Journal article

AN5D: automated stencil framework for high-degree temporal blocking on GPUs
18th International Symposium on Code Generation and Optimization
Presentation date: 02/2020
Presentation of work at congresses

JACC: An OpenACC runtime framework with kernel-level and multi-GPU parallelization
28th IEEE International Conference on High Performance Computing, Data, and Analytics
Presentation date: 12/2021
Presentation of work at congresses

A symbolic emulator for shuffle synthesis on the NVIDIA PTX code
32nd International Conference on Compiler Construction
Presentation date: 02/2023
Presentation of work at congresses

AUTHOR:HAGHI, ABBAS
Title:FPGA and ASIC accelerators for genome data analysis
Reading date:19/03/2024
Director:MORETÓ PLANAS, MIQUEL
Co-director:ÁLVAREZ MARTÍ, LLUC
Mention:No mention
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WFA-FPGA: An efficient accelerator of the wavefront algorithm for short and long read genomics alignment
Haghi, A.; Marco-Sola, S.; Alvarez, L.; Diamantopoulos, D.; Hagleitner, C.; Moreto, M.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2022: 21.1
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A hardware/software co-design of K-mer counting using a CAPI-enabled FPGA
30th International Conference on Field-Programmable Logic and Applications
Presentation date: 09/2020
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An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment
31st International Conference on Field-Programmable Logic and Applications
Presentation date: 2021
Presentation of work at congresses

WFAsic: A high-performance ASIC accelerator for DNA sequence alignment on a RISC-V SoC
52nd International Conference on Parallel Processing
Presentation date: 08/2023
Presentation of work at congresses

AUTHOR:BARCELÓ CUERDA, ALEX
Title:Bridging the gap between object stores and HPC
Reading date:18/03/2024
Director:QUERALT CALAFAT, ANNA
Co-director:CORTÉS ROSSELLÓ, ANTONIO
Mention:No mention
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Revisiting active object stores: Bringing data locality to the limit with NVM
Barcelo, A.; Queralt, A.; Cortes, A.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2022: 7.5; Quartil: Q1)
Publication date: 04/2022
Journal article

Enhancing iteration performance on distributed task-based workflows
Barcelo, A.; Queralt, A.; Cortes, A.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2021: 18.7
Publication date: 12/2023
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AUTHOR:BERNÁRDEZ GIL, GUILLERMO
Title:Multi-agent graph learning-based optimization and its applications to computer networks
Reading date:15/03/2024
Director:BARLET ROS, PERE
Co-director:CABELLOS APARICIO, ALBERTO
Mention:International Mention
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MAGNNETO: A graph neural network-based multi-agent system for traffic engineering
Bernárdez, G.; Suarez-varela, J.; Lopez, A.; Shi, X.; Xiao, S.; Cheng, Xiangle; Barlet, P.; Albert Cabellos-Aparicio
IEEE transactions on cognitive communications and networking, ISSN: 2332-7731 (JCR Impact Factor-2022: 12.6
Publication date: 04/2023
Journal article

Is machine learning ready for traffic engineering optimization?
29th IEEE International Conference on Network Protocols
Presentation date: 02/11/2021
Presentation of work at congresses

Topological network traffic compression
2nd Graph Neural Networking Workshop
Presentation date: 08/12/2023
Presentation of work at congresses

AUTHOR:GEMMI, GABRIELE
Title:Towards resilient wireless networks: mesh backhauls for 5G ultra-dense networks and rural Internet service provision
Reading date:22/02/2024
Director:CERDÀ ALABERN, LLORENÇ
Co-director:MACCARI, LEONARDO
Mention:International Mention
RELATED PUBLICATIONS
On the Properties of Next Generation Wireless Backhaul
IEEE transactions on network science and engineering, ISSN: 2327-4697 (JCR Impact Factor-2022: 6.6; Quartil: Q1)
Journal article

Cost Analysis of Reliable Coverage for LoS Communications in Urban Areas
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2022: 5.3; Quartil: Q2)
Journal article

Toward smart community networks
Gemmi, G.; Cerdà, L.; Navarro, L.; Maccari, Leonardo
IEEE network, ISSN: 1558-156X (JCR Impact Factor-2022: 9.3; Quartil: Q1)
Publication date: 03/2023
Journal article

Anomaly detection for fault detection in wireless community networks using machine learning
Cerdà, L.; Iuhasz, G.; Gemmi, G.
Computer communications, ISSN: 1873-703X (JCR Impact Factor-2021: 5.047; Quartil: Q1)
Publication date: 15/03/2023
Journal article

A robust and cost-effective wireless backhaul design for rural areas
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2021: 4.758; Quartil: Q2)
Journal article

WIP: Analysis of Feasible Topologies for Backhaul Mesh Networks
IEEE International Symposium on a World of Wireless, Mobile, and Multimedia Networks
Presentation date: 10/06/2021
Presentation of work at congresses

Joint Routing and Energy Optimization for Integrated Access and Backhaul with Open RAN
IEEE Global Communications Conference 2023
Presentation date: 05/12/2023
Presentation of work at congresses

A realistic open-data-based cost model for wireless backhaul networks in rural areas
18th International Conference on Network and Service Management
Presentation date: 02/11/2022
Presentation of work at congresses

Vehicles or pedestrians: on the gNB placement in ultradense urban areas
18th Annual Conference on Wireless On Demand Network Systems and Services
Presentation of work at congresses

Toward Open Integrated Access and Backhaul with O-RAN
Mediterranean Communication and Computer Networking Conference
Presentation date: 13/06/2023
Presentation of work at congresses

AUTHOR:EL SAYED, AHMAD MOHAMMAD
Title:Smart and efficient sensor networks operation for 5G and beyond ecosystems
Reading date:30/01/2024
Director:RUIZ RAMÍREZ, MARC
Co-director:HARB, HASSAN
Mention:No mention
RELATED PUBLICATIONS
ZIZO: A Zoom-In Zoom-Out mechanism for minimizing redundancy and saving energy in wireless sensor networks
El Sayed, A.; Harb, H.; Ruiz, M.; Velasco, L.
IEEE sensors journal, ISSN: 1530-437X (JCR Impact Factor-2021: 4.325; Quartil: Q1)
Publication date: 01/02/2021
Journal article

Deep learning-based adaptive compression and anomaly detection for smart B5G use cases operation
El Sayed, A.; Ruiz, M.; Harb, Hassan; Velasco, L.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2)
Publication date: 16/01/2023
Journal article

Comparison of statistical and machine learning-based approaches for telemetry data size reduction
23rd International Conference on Transparent Optical Networks
Presentation date: 07/2023
Presentation of work at congresses

AUTHOR:RODRIGO MUÑOZ, SANTIAGO
Title:A double full-stack architecture for multi-core quantum computers
Reading date:18/12/2023
Director:ABADAL CAVALLÉ, SERGI
Co-director:ALARCON COT, EDUARDO JOSE
Mention:No mention
RELATED PUBLICATIONS
On double full-stack communications-enabled architectures for multi-core quantum computers
Rodrigo, S.; S. Abadal; Alarcon, E.; Bandic, M.; van Someren, H.; García, C.
IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2021: 2.821; Quartil: Q2)
Publication date: 09/2021
Journal article

Will quantum computers scale without inter-chip comms? A structured design exploration to the monolithic vs distributed architectures quest
XXXV Conference on Design of Circuits and Integrated Systems
Presentation date: 11/2020
Presentation of work at congresses

Modelling short-range quantum teleportation for scalable multi-core quantum computing architectures
8th ACM International Conference on Nanoscale Computing and Communication
Presentation date: 09/2021
Presentation of work at congresses

Scaling of multi-core quantum architectures: a communications-aware structured gap analysis
18th ACM International Conference on Computing Frontiers
Presentation date: 12/05/2021
Presentation of work at congresses

Quantum intranets for scalable multi-core quantum computing
2nd International Conference on Science and Technology of Quantum Matter
Presentation date: 21/06/2022
Presentation of work at congresses

Characterizing the spatio-temporal qubit traffic of a quantum intranet aiming at modular quantum computer architectures
9th ACM International Conference on Nanoscale Computing and Communication
Presentation date: 2022
Presentation of work at congresses

Interconnect fabrics for multi-core quantum processors: a context analysis
56th Annual IEEE/ACM International Symposium on Microarchitecture
Presentation date: 2023
Presentation of work at congresses

AUTHOR:HERRUZO SANCHEZ, PEDRO
Title:Deep learning for spatio-temporal forecasting: benchmarks, methods, and insights from mobility and weather predictions
Reading date:30/10/2023
Director:LARRIBA PEY, JOSEP
Mention:Industrial Doctorate Mention
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Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Proceedings of Machine Learning Research, ISSN: 2640-3498
Publication date: 20/07/2022
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High-resolution multi-channel weather forecasting - First insights on transfer learning from the Weather4cast Competitions 2021
2021 IEEE International Conference on Big Data
Presentation date: 15/12/2021
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Towards objective description of eating, socializing and sedentary lifestyle patterns in egocentric images
30th British Machine Vision Conference
Presentation date: 2019
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Recurrent autoencoder with skip connections and exogenous variables for traffic forecasting
33rd Annual Conference on Neural Information Processing Systems
Presentation date: 2020
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The surprising efficiency of framing geo-spatial time series forecasting as a video prediction task : Insights from the IARAI Traffic4cast competition at NeurIPS 2019
33rd Annual Conference on Neural Information Processing Systems
Presentation date: 2020
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Traffic4cast at NeurIPS 2020 : yet more on the unreasonable effectiveness of gridded geo-spatial processes
34th Conference on Neural Information Processing Systems
Presentation date: 2021
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CDCEO’21 - First Workshop on Complex Data Challenges inEarth Observation
30th ACM International Conference on Information and Knowledge Management
Presentation date: 11/2021
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The Landslide4Sense Competition 2022
IJCAI-ECAI 2022
Presentation date: 15/07/2022
Presentation of work at congresses

AUTHOR:OSORIO RÍOS, JOHN HAIBER
Title:Adapting floating-point precision to accelerate deep neural network training
Reading date:18/10/2023
Director:CASAS GUIX, MARC
Co-director:ARMEJACH SANOSA, ADRIÀ
Mention:No mention
RELATED PUBLICATIONS
A BF16 FMA is all you need for DNN training
Osorio, J.; Armejach, A.; Petit, E.; Henry, G.; Casas, M.
IEEE transactions on emerging topics in computing, ISSN: 2168-6750 (JCR Impact Factor-2022: 5.9; Quartil: Q1)
Publication date: 01/07/2022
Journal article

Evaluating mixed-precision arithmetic for 3D generative adversarial networks to simulate high energy physics detectors
19th IEEE International Conference on Machine Learning and Applications
Presentation date: 12/2020
Presentation of work at congresses

Dynamically adapting floating-point precision to accelerate deep neural network training
20th IEEE International Conference on Machine Learning and Applications
Presentation date: 2021
Presentation of work at congresses

FASE: A fast, accurate and seamless emulator for custom numerical formats
IEEE International Symposium on Performance Analysis of Systems and Software 2022
Presentation date: 05/2022
Presentation of work at congresses

AUTHOR:VIEIRA ZACARIAS, FELIPPE
Title:Job scheduling for disaggregated memory in high performance computing systems
Reading date:09/10/2023
Tutor/a:MARTORELL BOFILL, XAVIER
Director:CARPENTER, PAUL MATTHEW
Co-director:PETRUCCI, VINICIUS
Mention:No mention
RELATED PUBLICATIONS
Intelligent colocation of HPC workloads
Vieira, F.; Petrucci, V.; Nishtala, R.; Carpenter, P.; Mossé, D.
Journal of parallel and distributed computing, ISSN: 0743-7315 (JCR Impact Factor-2021: 4.542; Quartil: Q1)
Publication date: 05/2021
Journal article

Contention-aware application performance prediction for disaggregated memory systems
17th ACM International Conference on Computing Frontiers
Presentation date: 05/2020
Presentation of work at congresses

Memory demands in disaggregated HPC: How accurate do we need to be?
12th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems
Presentation date: 2021
Presentation of work at congresses

Improving HPC system throughput and response time using memory disaggregation
27th IEEE International Conference on Parallel and Distributed Systems
Presentation date: 12/2021
Presentation of work at congresses

AUTHOR:ALCAIDE PORTET, SERGI
Title:Hardware/software solutions to enable the use of high-performance processors in the most stringent safety-critical systems
Reading date:19/07/2023
Director:KOSMIDIS, LEONIDAS
Co-director:ABELLA FERRER, JAIME
Mention:No mention
RELATED PUBLICATIONS
Safety-related challenges and opportunities for GPUs in the automotive domain
Alcaide, S.; Kosmidis, L.; Tabani, H.; Hernández, C.; Abella, J.; Cazorla, F. J.
IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2018: 2.57; Quartil: Q1)
Publication date: 01/11/2018
Journal article

Achieving diverse redundancy for GPU Kernels
Alcaide, S.; Kosmidis, L.; Hernández, C.; Abella, J.
IEEE transactions on emerging topics in computing, ISSN: 2168-6750 (JCR Impact Factor-2022: 5.9; Quartil: Q1)
Publication date: 04/2022
Journal article

High-integrity GPU designs for critical real-time automotive systems
22nd Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 03/2019
Presentation of work at congresses

Software-only diverse redundancy on GPUs for autonomous driving platforms
25th IEEE International Symposium on On-Line Testing and Robust System Design
Presentation date: 07/2019
Presentation of work at congresses

Software-only triple diverse redundancy on GPUs for autonomous driving platforms
50th Annual IEEE/IFIP International Conference on Dependable Systems and Networks
Presentation date: 06/2020
Presentation of work at congresses

Software-only based diverse redundancy for ASIL-D automotive applications on embedded HPC platforms
33rd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems
Presentation date: 10/2020
Presentation of work at congresses

SafeSoftDR: A library to enable software-based diverse redundancy for safety-critical tasks
2022 Functional Properties and Dependability in Cyber-Physical Systems Workshop
Presentation date: 2022
Presentation of work at congresses

End-to-end QoS for the open source safety-relevant RISC-V SELENE platform
2022 Functional Properties and Dependability in Cyber-Physical Systems Workshop
Presentation date: 2022
Presentation of work at congresses

SafeX: Open source hardware and software components for safety-critical systems
Forum on Specification & Design Languages 2022
Presentation date: 09/2022
Presentation of work at congresses

A software-only approach to enable diverse redundancy on Intel GPUs for safety-related kernels
38th ACM Symposium on Applied Computing
Presentation date: 03/2023
Presentation of work at congresses

NimbleAI: towards neuromorphic sensing-processing 3D-integrated chips
26th Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 04/2023
Presentation of work at congresses

AUTHOR:FERNÁNDEZ MUÑOZ, JAVIER
Title:Software diagnostics for autonomous safety-critical control-systems based on artificial intelligence
Reading date:18/07/2023
Tutor/a:MORETÓ PLANAS, MIQUEL
Director:ABELLA FERRER, JAIME
Co-director:AGIRRE TRONCOSO, IRUNE
Mention:No mention
RELATED PUBLICATIONS
Towards functional safety compliance of matrix–matrix multiplication for machine learning-based autonomous systems
Fernández, J.; Pérez, J.; Agirre Troncoso, Irune; Allende, I.; Abella, J.; Cazorla, F. J.
Journal of systems architecture, ISSN: 1873-6165 (JCR Impact Factor-2021: 5.836; Quartil: Q1)
Publication date: 12/2021
Journal article

On the safe deployment of matrix multiplication in massively parallel safety-related systems
Fernández, J.; Pérez, J.; Agirre, I.; Calderón, A.; Abella, J.; Cazorla, F. J.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2022: 0.51; Quartil: Q2)
Publication date: 08/04/2022
Journal article

Towards functional Safety Compliance of Matrix-Matrix Multiplication for Machine Learning-based Autonomous systems
25th Ada-Europe International Conference on Reliable Software Technologies
Presentation date: 10/06/2021
Presentation of work at congresses

A methodology for selective protection of matrix multiplications: A diagnostic coverage and performance trade-off for CNNs executed on GPUs
6th International Conference on System Reliability and Safety
Presentation date: 11/2022
Presentation of work at congresses

AUTHOR:ALMASAN PUSCAS, FELICIAN PAUL
Title:Leveraging graph neural networks for optimization and traffic compression in network digital twins
Reading date:17/07/2023
Director:CABELLOS APARICIO, ALBERTO
Co-director:BARLET ROS, PERE
Mention:International Mention
RELATED PUBLICATIONS
RouteNet: leveraging graph neural networks for network modeling and optimization in SDN
Rusek, K.; Suarez-varela, J.; Almasan, P.; Barlet, P.; Albert Cabellos-Aparicio
IEEE journal on selected areas in communications, ISSN: 0733-8716 (JCR Impact Factor-2020: 9.144; Quartil: Q1)
Publication date: 05/06/2020
Journal article

Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond
Careglio, D.; Spadaro, S.; Albert Cabellos-Aparicio; Lazaro, J.A.; Barlet, P.; Gene, J. M.; Perello, J.; Agraz, F.; Suarez-varela, J.; Pages, A.; Paillisse, J.; Almasan, P.; Domingo, J.; Solé-Pareta, J.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2021: 2.838; Quartil: Q2)
Publication date: 30/09/2021
Journal article

ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning
Almasan, P.; Xiao, S.; Cheng, Xiangle; Shi, X.; Barlet, P.; Albert Cabellos-Aparicio
Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2022: 5.6; Quartil: Q1)
Publication date: 04/09/2022
Journal article

Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case
Almasan, P.; Suarez-varela, J.; Rusek, K.; Barlet, P.; Albert Cabellos-Aparicio
Computer communications, ISSN: 1873-703X (JCR Impact Factor-2022: 6.0; Quartil: Q1)
Publication date: 01/12/2022
Journal article

Challenging the generalization capabilities of Graph Neural Networks for network modeling
ACM Conference on Special Interest Group on Data Communication 2019
Presentation date: 21/08/2019
Presentation of work at congresses

Towards more realistic network models based on Graph Neural Networks
15th International Conference on Emerging Networking Experiments and Technologies
Presentation date: 09/12/2019
Presentation of work at congresses

Towards real-time routing optimization with deep reinforcement learning: open challenges
22nd IEEE International Conference on High Performance Switching and Routing
Presentation date: 06/2021
Presentation of work at congresses

Accelerating deep reinforcement learning for digital twin network optimization with evolutionary strategies
IEEE/IFIP Network Operations and Management Symposium 2022
Presentation date: 29/04/2022
Presentation of work at congresses

Fast traffic engineering by gradient descent with learned differentiable routing
18th International Conference on Network and Service Management
Presentation date: 2022
Presentation of work at congresses

AUTHOR:LIU, PEINI
Title:Convergence of high performance computing, big data, and machine learning applications on containerized infrastructures
Reading date:17/07/2023
Director:GUITART FERNANDEZ, JORDI
Mention:International Mention
RELATED PUBLICATIONS
Performance comparison of multi-container deployment schemes for HPC workloads: an empirical study
Liu, P.; Guitart, J.
Journal of supercomputing, ISSN: 0920-8542 (JCR Impact Factor-2021: 2.557; Quartil: Q2)
Publication date: 01/06/2021
Journal article

Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study
Liu, P.; Guitart, J.
Cluster computing, ISSN: 1386-7857 (JCR Impact Factor-2022: 4.4; Quartil: Q1)
Publication date: 04/2022
Journal article

Scanflow: A multi-graph framework for machine learning workflow management, supervision, and debugging
Gusseppe Bravo-Rocca; Liu, P.; Guitart, J.; Dholakia, A.; Ellison, D.; Falkanger, J.; Hodak, M.
Expert systems with applications, ISSN: 0957-4174 (JCR Impact Factor-2022: 8.5; Quartil: Q1)
Publication date: 15/09/2022
Journal article

Energy-aware dynamic pricing model for cloud environments
16th International Conference on Economics of Grids, Clouds, Systems, and Services
Presentation date: 17/09/2019
Presentation of work at congresses

Scanflow: an end-to-end agent-based autonomic ML workflow manager for clusters
22nd ACM/IFIP International Middleware Conference
Presentation date: 08/12/2021
Presentation of work at congresses

Human-in-the-loop online multi-agent approach to increase trustworthiness in ML models through trust scores and data augmentation
46th IEEE Annual International Conference on Computers, Software, and Applications
Presentation date: 27/06/2022
Presentation of work at congresses

Scanflow-K8s: agent-based framework for autonomic management and supervision of ML workflows in Kubernetes clusters
2022 IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Presentation date: 16/05/2022
Presentation of work at congresses

Fine-grained scheduling for containerized HPC workloads in Kubernetes clusters
24th IEEE International Conference on High Performance Computing and Communications
Presentation date: 18/12/2022
Presentation of work at congresses

TADIL: Task-Agnostic Domain-Incremental Learning through Task-ID Inference using Transformer Nearest-Centroid Embeddings
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 18/06/2023
Presentation of work at congresses

AUTHOR:CASTELL UROZ, ISMAEL
Title:A novel approach to web tracking detection and removal with minimal functionality loss
Reading date:06/07/2023
Director:BARLET ROS, PERE
Mention:International Mention
RELATED PUBLICATIONS
Network measurements for web tracking analysis and detection: A tutorial
Castell, I.; Solé-Pareta, J.; Barlet, P.
IEEE instrumentation and measurement magazine, ISSN: 1094-6969 (JCR Impact Factor-2020: 1.505; Quartil: Q3)
Publication date: 12/2020
Journal article

Amazon Alexa traffic traces
Barceló, R.; Castell, I.; Barlet, P.
Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2022: 5.6; Quartil: Q1)
Publication date: 03/2022
Journal article

Demystifying content-blockers: Measuring their impact on performance and quality of experience
Castell, I.; Sánz, R.; Solé-Pareta, J.; Barlet, P.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2022: 5.3; Quartil: Q2)
Publication date: 09/2022
Journal article

ePrivo.eu: An online service for automatic web tracking discovery
Castell, I.; Douha, I.; Basart, M.; Mesegué, P.; Barlet, P.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2021: 6.7
Publication date: 2023
Journal article

TrackSign-labeled web tracking dataset
Castell, I.; Barlet, P.
Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2021: 9.3
Publication date: 05/2023
Journal article

A first look into Alexa’s interaction security
15th International Conference on Emerging Networking Experiments and Technologies
Presentation date: 09/12/2019
Presentation of work at congresses

URL-based web tracking detection using deep learning
16th International Conference on Network and Service Management
Presentation date: 11/2020
Presentation of work at congresses

Demystifying content-blockers: A large-scale study of actual performance gains
16th International Conference on Network and Service Management
Presentation date: 11/2020
Presentation of work at congresses

TrackSign: guided Web tracking discovery
Annual IEEE Conference on Computer Communications 2021
Presentation date: 11/05/2021
Presentation of work at congresses

ASTrack: Automatic detection and removal of web tracking code with minimal functionality loss
42nd IEEE International Conference on Computer Communications
Presentation date: 19/05/2023
Presentation of work at congresses

AUTHOR:CRUZ DE LA CRUZ, STALIN LEONEL
Title:Scaling deep learning workloads. Applications in computer vision and seismology
Reading date:06/07/2023
Director:TOUS LIESA, RUBÉN
Co-director:OTERO CALVIÑO, BEATRIZ
Mention:No mention
RELATED PUBLICATIONS
Automated curation of brand-related social media images with deep learning
Tous, R.; Gómez, M.; Poveda, J.; Cruz, S.; Wust, O.; Makni, M.; Ayguade, E.
Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2018: 2.101; Quartil: Q2)
Publication date: 10/2018
Journal article

Distributed training of deep neural networks with spark: The MareNostrum experience
Cruz, S.; Tous, R.; Otero, B.
Pattern recognition letters, ISSN: 0167-8655 (JCR Impact Factor-2019: 3.255; Quartil: Q2)
Publication date: 01/07/2019
Journal article

Deep neural networks for earthquake detection and source region estimation in north-central Venezuela
Tous, R.; Alvarado, L.; Otero, B.; Cruz, S.; Rojas, O.
Bulletin of the Seismological Society of America, ISSN: 0037-1106 (JCR Impact Factor-2020: 2.91; Quartil: Q2)
Publication date: 01/10/2020
Journal article

Real-time logo detection in brand-related social media images
15th International Work-Conference on Artificial Neural Networks
Presentation date: 06/2019
Presentation of work at congresses

Long short-term memory networks for earthquake detection in Venezuelan regions
5th International Conference on Machine Learning, Optimization, and Data Science
Presentation date: 12/09/2019
Presentation of work at congresses

Epicentral region estimation using convolutional neural networks
7th International Conference on Machine Learning, Optimization, and Data Science
Presentation date: 07/10/2021
Presentation of work at congresses

AUTHOR:AHMADIAN, SEYED MORTEZA
Title:Artificial intelligence solutions for quantum communications
Reading date:16/06/2023
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:RUIZ RAMÍREZ, MARC
Mention:International Mention
RELATED PUBLICATIONS
Cost-effective ML-powered polarization-encoded quantum key distribution
Ahmadian, S.; Ruiz, M.; Comellas, J.; Velasco, L.
Journal of lightwave technology, ISSN: 1558-2213 (JCR Impact Factor-2022: 4.7; Quartil: Q1)
Publication date: 01/07/2022
Journal article

Designing a digital twin for quantum key distribution
48th European Conference on Optical Communication
Presentation date: 09/2022
Presentation of work at congresses

AUTHOR:FERRER CID, PAU
Title:On the data quality improvement of air pollution monitoring low-cost sensor networks using data-driven techniques
Reading date:08/05/2023
Director:GARCÍA VIDAL, JORGE
Co-director:BARCELÓ ORDINAS, JOSE MARIA
Mention:No mention
RELATED PUBLICATIONS
A comparative study of calibration methods for low-cost ozone sensors in IoT platforms
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.; Ripoll, A.; Viana, M.
IEEE internet of things journal, ISSN: 2327-4662 (JCR Impact Factor-2019: 9.936; Quartil: Q1)
Publication date: 01/12/2019
Journal article

Multisensor data fusion calibration in IoT air pollution platforms
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.; Ripoll, A.; Viana, M.
IEEE internet of things journal, ISSN: 2327-4662 (JCR Impact Factor-2020: 9.471; Quartil: Q1)
Publication date: 01/04/2020
Journal article

H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
Barcelo, J. M.; Ferrer-Cid, P.; Garcia, J.; Viana, M.; Ripoll, A.
Data in brief, ISSN: 2352-3409 (JCR Impact Factor-2021: 0.131; Quartil: Q4)
Publication date: 06/2021
Journal article

Graph learning techniques using structured data for IoT air pollution monitoring platforms
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
IEEE internet of things journal, ISSN: 2327-4662 (JCR Impact Factor-2021: 10.238; Quartil: Q1)
Publication date: 01/09/2021
Journal article

Sampling trade-offs in duty-cycled systems for air quality low-cost sensors
Ferrer-Cid, P.; Garcia, J.; Main, A.; Ye, Z.; Barcelo, J. M.; Garcia, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2022: 3.9; Quartil: Q2)
Publication date: 23/05/2022
Journal article

Volterra graph-based outlier detection for air pollution sensor networks
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
IEEE transactions on network science and engineering, ISSN: 2327-4697 (JCR Impact Factor-2022: 6.6; Quartil: Q1)
Publication date: 01/07/2022
Journal article

Data reconstruction applications for IoT air pollution sensor networks using graph signal processing
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
Journal of network and computer applications, ISSN: 1095-8592 (JCR Impact Factor-2022: 8.7; Quartil: Q1)
Publication date: 09/2022
Journal article

A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
López, E.; Vionnet, C.; Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.; Contini, G.; Prodolliet, J.; Maiztegui, J.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2022: 3.9; Quartil: Q2)
Publication date: 09/09/2022
Journal article

Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
Data in brief, ISSN: 2352-3409 (JCR Impact Factor-2022: 0.0
Publication date: 12/2022
Journal article

Graph signal reconstruction techniques for IoT air pollution monitoring platforms
Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
IEEE internet of things journal, ISSN: 2327-4662 (JCR Impact Factor-2022: 10.6; Quartil: Q1)
Publication date: 15/12/2022
Journal article

Temporal pattern-based denoising and calibration for low-cost sensors in IoT monitoring platforms
Allka, X.; Ferrer-Cid, P.; Barcelo, J. M.; Garcia, J.
IEEE transactions on instrumentation and measurement, ISSN: 1557-9662 (JCR Impact Factor-2021: 5.332; Quartil: Q1)
Publication date: 25/01/2023
Journal article

Robust proxy sensor model for estimating black carbon concentrations using low-cost sensors
1st International Workshop on Advances in Environmental Sensing Systems for Smart Cities
Presentation date: 18/06/2023
Presentation of work at congresses

Black carbon proxy sensor model for air quality IoT monitoring networks
International Conference on Embedded Wireless Systems and Networks
Presentation date: 25/09/2023
Presentation of work at congresses

AUTHOR:CARDONA NADAL, JORDI
Title:Practical strategies to monitor and control contention in shared resources of critical real-time embedded systems
Reading date:03/04/2023
Director:CAZORLA ALMEIDA, FRANCISCO JAVIER
Co-director:HERNANDEZ LUZ, CARLES
Mention:No mention
RELATED PUBLICATIONS
EOmesh: combined flow balancing and deterministic routing for reduced WCET estimates in embedded real-time systems
Cardona, J.; Hernandez Luz, Carles; Abella, J.; Cazorla, F. J.
IEEE transactions on computer-aided design of integrated circuits and systems, ISSN: 0278-0070 (JCR Impact Factor-2018: 2.402; Quartil: Q2)
Publication date: 17/07/2018
Journal article

Accurately measuring contention in Mesh NoCs in time-sensitive embedded systems
Cardona, J.; Hernández, C.; Abella, J.; Mezzetti, Enrico; Cazorla, F. J.
ACM transactions on design automation of electronic systems, ISSN: 1557-7309 (JCR Impact Factor-2021: 1.447; Quartil: Q4)
Publication date: 05/2023
Journal article

NoCo: ILP-based worst-case contention estimation for mesh real-time manycores
39th IEEE Real-Time Systems Symposium
Presentation date: 12/2018
Presentation of work at congresses

Maximum-Contention Control Unit (MCCU): Resource access count and contention time enforcement
22nd Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 03/2019
Presentation of work at congresses

AUTHOR:IQBAL, MASAB
Title:Techniques for efficient and secure optical networks
Reading date:24/03/2023
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:FERREIRA PEDRO, JOAO MANUEL
Mention:Menció Doctorat Internacional + Industrial Doctorate Mention
RELATED PUBLICATIONS
LPsec: a fast and secure cryptographic system for optical connections
Iqbal, M.; Velasco, L.; Costa, N.; Napoli, Antonio; Pedro, J.; Ruiz, M.
Journal of optical communications and networking, ISSN: 1943-0639 (JCR Impact Factor-2022: 5.0; Quartil: Q1)
Publication date: 04/2022
Journal article

Supporting heterogenous traffic on top of point-to-multipoint light-trees †
Iqbal, M.; Velasco, L.; Ruiz, M.; Costa, N.; Napoli, Antonio; Pedro, J.; Comellas, J.
Sensors (Basel), ISSN: 1424-8220
Publication date: 23/02/2023
Journal article

Quantum bit retransmission using universal quantum copying machine
26th International Conference on Optical Network Design and Modeling
Presentation date: 05/2022
Presentation of work at congresses

Dynamic and efficient point-to-point and point-to-multipoint communications by slicing the optical constellation
2022 Optical Fiber Communications Conference and Exhibition
Presentation date: 06/03/2022
Presentation of work at congresses

AUTHOR:VILARDELL MORENO, SERGI
Title:Modelling and predicting extreme behavior in critical real-time systems with advanced statistics
Reading date:13/03/2023
Tutor/a:CAZORLA ALMEIDA, FRANCISCO JAVIER
Director:SERRA MOCHALES, ISABEL
Co-director:ABELLA FERRER, JAIME
Mention:No mention
RELATED PUBLICATIONS
HRM: merging hardware event monitors for improved timing analysis of complex MPSoCs
Vilardell, S.; Serra, I.; Santalla, R.; Mezzetti, Enrico; Abella, J.; Cazorla, F. J.
IEEE transactions on computer-aided design of integrated circuits and systems, ISSN: 0278-0070 (JCR Impact Factor-2020: 2.807; Quartil: Q2)
Publication date: 11/2020
Journal article

Software timing analysis for complex hardware with survivability and risk analysis
37th IEEE International Conference on Computer Design
Presentation date: 11/2019
Presentation of work at congresses

CleanET: enabling timing validation for complex automotive systems
35th ACM Symposium on Applied Computing
Presentation date: 03/2020
Presentation of work at congresses

MUCH: exploiting pairwise hardware event monitor correlations for improved timing analysis of complex MPSoCs
36th ACM Symposium on Applied Computing
Presentation date: 03/2021
Presentation of work at congresses

Using Markov’s inequality with power-of-k function for probabilistic WCET estimation
34th Euromicro Conference on Real-Time Systems
Presentation date: 07/2022
Presentation of work at congresses

AUTHOR:GARCIA CALATRAVA, CARLOS
Title:A highly efficient time-series database approach for monitoring infrastructures
Reading date:12/12/2022
Director:CUCCHIETTI TABANIK, FERNANDO MARTÍN
Co-director:BECERRA FONTAL, YOLANDA
Mention:No mention
RELATED PUBLICATIONS
NagareDB: A resource-efficient document-oriented time-series database
Garcia, C.; Becerra, Y.; Cucchietti Tabanik, Fernando Martín; Diví, C.
Data, ISSN: 2306-5729 (JCR Impact Factor-2021: 0.56; Quartil: Q2)
Publication date: 13/08/2021
Journal article

The Camp Nou Stadium as a testbed for city physiology: a modular framework for urban digital twins
Meta, I.; Serra, F.; Carrasco-Jiménez, J. C.; Cucchietti, F.; Diví, C.; Garcia, C.; García, D.; Graells, E.; Navarro, G.; Lázaro, Q.; Reyes, P.; Navarro, D.; Gil, A.; Eguskiza, I.
Complexity, ISSN: 1099-0526 (JCR Impact Factor-2021: 2.121; Quartil: Q2)
Publication date: 12/10/2021
Journal article

Introducing polyglot-based data-flow awareness to time-series data stores
Garcia, C.; Becerra, Y.; Cucchietti Tabanik, Fernando Martín
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2022: 3.9; Quartil: Q2)
Publication date: 30/06/2022
Journal article

A holistic scalability strategy for time series databases following cascading polyglot persistence
Garcia, C.; Becerra, Y.; Cucchietti, F.
Big data and cognitive computing, ISSN: 2504-2289 (JCR Impact Factor-2022: 0.0
Publication date: 18/08/2022
Journal article

AUTHOR:ORTEGA CARRASCO, CRISTOBAL
Title:Hardware knob coordination in multi-threaded systems
Reading date:28/11/2022
Director:MORETÓ PLANAS, MIQUEL
Co-director:ÁLVAREZ MARTÍ, LLUC
Mention:International Mention
RELATED PUBLICATIONS
Intelligent adaptation of hardware knobs for improving performance and power consumption
Ortega, C.; Alvarez, L.; Casas, M.; Bertran, R.; Buyuktosunoglu, A.; Eichenberger, A.; Bose, P.; Moreto, M.
IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2021: 3.183; Quartil: Q2)
Publication date: 01/2021
Journal article

Adaptive power shifting for power-constrained heterogeneous systems
Ortega, C.; Alvarez, L.; Buyuktosunoglu, A.; Bertran, R.; Rosedahl, T.; Bose, P.; Moreto, M.
IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2020: 6.9
Publication date: 01/03/2023
Journal article

AUTHOR:AGUILAR MENA, JIMMY
Title:Methodology for malleable applications on distributed memory systems
Reading date:23/11/2022
Director:MARTORELL BOFILL, XAVIER
Co-director:CARPENTER, PAUL MATTHEW
Mention:No mention
RELATED PUBLICATIONS
A FE2 multi-scale implementation for modeling composite materials on distributed architectures
Giuntoli, G.; Aguilar, J.; Vazquez, M.; Oller, S.; Houzeaux, G.
Coupled systems mechanics, ISSN: 2234-2192 (JCR Impact Factor-2019: 0.0
Publication date: 01/04/2019
Journal article

Transparent load balancing of MPI programs using OmpSs-2@Cluster and DLB
ICPP 2022 - 51st International Conference on Parallel Processing
Presentation date: 08/2022
Presentation of work at congresses

OmpSs-2@Cluster: Distributed memory execution of nested OpenMP-style tasks
28th International European Conference on Parallel and Distributed Computing
Presentation date: 26/08/2022
Presentation of work at congresses

Automatic aggregation of subtask accesses for nested OpenMP-style tasks
34th IEEE International Symposium on Computer Architecture and High Performance Computing
Presentation date: 04/11/2022
Presentation of work at congresses

AUTHOR:GUTIÉRREZ TORRE, ALBERTO
Title:Distributed cloud-edge analytics and machine learning for transportation emissions estimation
Reading date:22/11/2022
Tutor/a:BECERRA FONTAL, YOLANDA
Director:BERRAL GARCÍA, JOSEP LLUÍS
Co-director:CARRERA PÉREZ, DAVID
Mention:No mention
RELATED PUBLICATIONS
Fog computing system and methods
Universitat Politècnica de Catalunya
Registration date: 26/10/2020
Patent

The unavoidable convergence of NFV, 5G and Fog: A model-driven approach to bridge cloud and edge
van Lingen, F.; Yannuzzi, M.; Jain, A.; Irons-Mclean, R.; Lluch, O.; Carrera, D.; Pérez, J.; Gutierrez-Torre, A.; Montero, D.; Martí, J.; Masó, R.; Rodriguez, J.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2017: 9.27; Quartil: Q1)
Publication date: 09/08/2017
Journal article

A resilient and distributed near real-time traffic forecasting application for Fog computing environments
Pérez, J.; Gutierrez-Torre, A.; Berral, J.; Carrera, D.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)
Publication date: 01/10/2018
Journal article

Improving maritime traffic emission estimations on missing data with CRBMs
Gutierrez-Torre, A.; Berral, J.; Buchaca, D.; Guevara, M.; Soret, A.; Carrera, D.
Engineering applications of artificial intelligence, ISSN: 0952-1976 (JCR Impact Factor-2020: 6.212; Quartil: Q1)
Publication date: 07/07/2020
Journal article

Automatic distributed deep learning using resource-constrained edge devices
Gutierrez-Torre, A.; Bahadori, K.; Baig, S.; Iqbal, W.; Vardanega, T.; Berral, J.; Carrera, D.
IEEE internet of things journal, ISSN: 2327-4662 (JCR Impact Factor-2022: 10.6; Quartil: Q1)
Publication date: 15/08/2022
Journal article

The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography
Lazic, I.; Agulló, F.; Aussó, S.; Alves, B.; Barelle, C.; Berral, J.; Bizopoulos, P.; Bunduc, O.; Gutierrez-Torre, A.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2022: 2.7; Quartil: Q2)
Publication date: 31/08/2022
Journal article

AUTHOR:PINTO RIVERO, DANIEL
Title:Acceleration of automatic speech recognition for low-power devices
Reading date:09/11/2022
Director:ARNAU MONTAÑES, JOSÉ MARÍA
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No mention
RELATED PUBLICATIONS
Design and evaluation of an ultra low-power human-quality speech recognition system
Pinto, D.; Arnau, J.; Gonzalez, A.
ACM transactions on architecture and code optimization, ISSN: 1544-3566 (JCR Impact Factor-2020: 0.919; Quartil: Q4)
Publication date: 11/2020
Journal article

A programmable accelerator for streaming automatic speech recognition on edge devices
6th Workshop on Cognitive Architectures
Presentation date: 2022
Presentation of work at congresses

AUTHOR:RIVAS BARRAGAN, DANIEL
Title:Optimizing edge cloud deployments for video analytics
Reading date:09/11/2022
Tutor/a:BECERRA FONTAL, YOLANDA
Director:CARRERA PÉREZ, DAVID
Co-director:GUIM BERNAT, FRANCESC
Mention:No mention
RELATED PUBLICATIONS
Drug2ways: Reasoning over causal paths in biological networks for drug discovery
Rivas, D.; Mubeen, S.; Guim, F.; Hofmann, M.; Domingo, D.
PLoS computational biology, ISSN: 1553-7358 (JCR Impact Factor-2020: 4.475; Quartil: Q1)
Publication date: 02/12/2020
Journal article

Causal reasoning over knowledge graphs leveraging drug-perturbed and disease-specific transcriptomic signatures for drug discovery
Domingo, D.; Gadiya, Y.; Patel, A.; Mubeen, S.; Rivas, D.; Diana, C.; Misra, B.; Healey, D.; Rokicki, J.; Colluru, V.
PLoS computational biology, ISSN: 1553-7358 (JCR Impact Factor-2022: 4.3; Quartil: Q1)
Publication date: 25/02/2022
Journal article

Towards automatic model specialization for edge video analytics
Rivas, D.; Guim, F.; Polo, J.; Silva, P.; Berral, J.; Carrera, D.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2022: 7.5; Quartil: Q1)
Publication date: 09/2022
Journal article

Performance characterization of video analytics workloads in heterogeneous edge infrastructures
Rivas, D.; Guim, F.; Polo, J.; Carrera, D.
Concurrency and computation: practice and experience, ISSN: 1532-0626 (JCR Impact Factor-2021: 1.831; Quartil: Q3)
Publication date: 25/06/2023
Journal article

Attosecond Soft-X-Ray Spectroscopy of a Transition Metal Dichalcogenide Material
Nonlinear Optics 2019
Presentation date: 15/07/2019
Presentation of work at congresses

Attosecond Soft X-Ray Absorption Spectroscopy in Graphite
Conference on Lasers & Electro-Optics / European Quantum Electronics Conference 2019
Presentation date: 23/06/2022
Presentation of work at congresses

Large-scale video analytics through object-level consolidation
EAI SmartCity360° 2021 - 7th EAI International Convention on Science and Technologies for Smart Cities
Presentation date: 2021
Presentation of work at congresses

Real-time flow of excitation inside a material with attosecond core-level soft X-ray spectroscopy
High Intensity Lasers and High Field Phenomena 2022
Presentation date: 21/03/2022
Presentation of work at congresses

Attosecond core-level spectroscopy reveals the flow of excitation in a material between light, carriers and phonons
CLEO: QELS_Fundamental Science 2022
Presentation date: 20/05/2022
Presentation of work at congresses

AUTHOR:CALL BARREIRO, AARON
Title:Leveraging disaggregated accelerators and non-volatile memories to improve the efficiency of modern datacenters
Reading date:07/11/2022
Tutor/a:BECERRA FONTAL, YOLANDA
Director:CARRERA PÉREZ, DAVID
Co-director:POLO BARDÉS, JORDÀ
Mention:International Mention
RELATED PUBLICATIONS
Workload-aware placement strategies to leverage disaggregated resources in the datacenter
Call, A.; Polo, J.; Carrera, D.
IEEE systems journal, ISSN: 1932-8184 (JCR Impact Factor-2022: 4.4; Quartil: Q2)
Publication date: 03/2022
Journal article

Disaggregating non-volatile memory for throughput-oriented genomics workloads
24th International European Conference on Parallel and Distributed Computing
Presentation date: 08/2018
Presentation of work at congresses

AUTHOR:MAHDAVI, KAVEH
Title:Enhanced clustering analysis pipeline for performance analysis of parallel applications
Reading date:28/07/2022
Director:LABARTA MANCHO, JESUS JOSE
Mention:No mention
RELATED PUBLICATIONS
Unsupervised feature selection for noisy data
ADMA 2019 - 15th International Conference on Advanced Data Mining and Applications
Presentation date: 11/2019
Presentation of work at congresses

Organization component analysis: The method for extracting insights from the shape of cluster
International Joint Conference on Neural Networks 2021
Presentation date: 07/2021
Presentation of work at congresses

AUTHOR:CALDERÓN TORRES, ALEJANDRO JOSUÉ
Title:Real-time high-performance computing for embedded control systems
Reading date:21/07/2022
Tutor/a:CAZORLA ALMEIDA, FRANCISCO JAVIER
Director:KOSMIDIS, LEONIDAS
Co-director:NICOLÁS RAMÍREZ, CARLOS FERNANDO
Mention:No mention
RELATED PUBLICATIONS
GMAI: Understanding and exploiting the internals of GPU resource allocation in critical systems
Calderón, A.; Kosmidis, L.; Nicolás Ramírez, Carlos Fernando; Cazorla, F. J.; Onaindia, P.
ACM transactions on embedded computing systems, ISSN: 1539-9087 (JCR Impact Factor-2020: 1.193; Quartil: Q4)
Publication date: 09/2020
Journal article

Understanding and exploiting the internals of GPU resource allocation for critical systems
IEEE/ACM International Conference on Computer-Aided Design 2019
Presentation date: 11/2019
Presentation of work at congresses

Assessing and improving the suitability of model-based design for GPU-accelerated railway control systems
34th International Conference on Architecture of Computing Systems
Presentation date: 06/2021
Presentation of work at congresses

The UP2DATE baseline research platforms
24th Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 04/02/2021
Presentation of work at congresses

AUTHOR:PEREDO ANDRADE, OSCAR FRANCISCO
Title:Large scale geostatistics with locally varying anisotropy
Reading date:09/06/2022
Director:HERRERO ZARAGOZA, JOSE RAMON
Mention:No mention
RELATED PUBLICATIONS
A path-level exact parallelization strategy for sequential simulation
Peredo, O.; Baeza, D.; Ortiz, J.; Herrero, J.
Computers and geosciences, ISSN: 0098-3004 (JCR Impact Factor-2018: 2.721; Quartil: Q2)
Publication date: 01/01/2018
Journal article

Acceleration strategies for large-scale sequential simulations using parallel neighbour search: Non-LVA and LVA scenarios
Peredo, O.; Herrero, J.
Computers and geosciences, ISSN: 0098-3004 (JCR Impact Factor-2022: 4.4; Quartil: Q1)
Publication date: 03/2022
Journal article

AUTHOR:BARZEGAR, SIMA
Title:Autonomous and reliable operation of multilayer optical networks
Reading date:03/06/2022
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:RUIZ RAMÍREZ, MARC
Mention:International Mention
RELATED PUBLICATIONS
Autonomous and energy efficient lightpath operation based on digital subcarrier multiplexing
Velasco, L.; Barzegar, S.; Sequeira, D.; Ferrari, Alessio; Costa, N.; Curri, V.; Pedro, J.; Napoli, Antonio; Ruiz, M.
IEEE journal on selected areas in communications, ISSN: 0733-8716 (JCR Impact Factor-2021: 13.081; Quartil: Q1)
Publication date: 09/2021
Journal article

Soft-failure detection, localization, identification, and severity prediction by estimating QoT model input parameters
Barzegar, S.; Ruiz, M.; Sgambelluri, A.; Cugini, F.; Napoli, Antonio; Velasco, L.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2021: 4.758; Quartil: Q2)
Publication date: 09/2021
Journal article

Packet flow capacity autonomous operation based on reinforcement learning
Barzegar, S.; Ruiz, M.; Velasco, L.
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2)
Publication date: 12/12/2021
Journal article

Intent-based networking and its application to optical networks [invited tutorial]
Velasco, L.; Barzegar, S.; Tabatabaeimehr, F.; Ruiz, M.
Journal of optical communications and networking, ISSN: 1943-0639 (JCR Impact Factor-2022: 5.0; Quartil: Q1)
Publication date: 01/01/2022
Journal article

Autonomous flow routing for near real-time quality of service assurance
Barzegar, S.; Ruiz, M.; Velasco, L.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2022: 7.6
Publication date: 04/2024
Journal article

Soft-failure localization and time-dependent degradation detection for network diagnosis
22nd International Conference on Transparent Optical Networks
Presentation date: 07/2020
Presentation of work at congresses

Soft-failure localization and device working parameters estimation in disaggregated scenarios
2020 Optical Fiber Communications Conference
Presentation date: 03/2020
Presentation of work at congresses

Reinforcement learning-based autonomous multilayer network operation
46th European Conference on Optical Communication
Presentation date: 12/2020
Presentation of work at congresses

Combining long-short term memory and reinforcement learning for improved autonomous network operation
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 06/2021
Presentation of work at congresses

Reliable and accurate autonomous flow operation based on off-line trained reinforcement learning
2021 Optical Fiber Communications Conference and Exhibition
Presentation date: 06/2021
Presentation of work at congresses

Distributed and autonomous flow routing based on deep reinforcement learning
27th OptoElectronics and Communications Conference / International Conference on Photonics in Switching and Computing 2022
Presentation date: 17/08/2022
Presentation of work at congresses

Coordination of radio access and optical transport
27th International Conference on Optical Network Design and Modeling
Presentation date: 05/2023
Presentation of work at congresses

Degradation detection and severity estimation by exploiting an optical time and frequency digital twin
Optical Fiber Communications Conference and Exhibition 2023
Presentation date: 03/2023
Presentation of work at congresses

Is intelligence the answer to deal with the 5 V’s of telemetry data?
Optical Fiber Communications Conference and Exhibition 2023
Presentation date: 03/2023
Presentation of work at congresses

Intent-based networking for zero-touch optical networking
23rd International Conference on Transparent Optical Networks
Presentation date: 07/2023
Presentation of work at congresses

Reinforcement learning for autonomous traffic flow capacity management
23rd International Conference on Transparent Optical Networks
Presentation date: 07/2023
Presentation of work at congresses

Using a SNR digital twin for failure management
23rd International Conference on Transparent Optical Networks
Presentation date: 07/2023
Presentation of work at congresses

AUTHOR:TABATABAEIMEHR, FATEMEHSADAT
Title:Distributed collaborative knowledge management for optical network
Reading date:02/06/2022
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:COMELLAS COLOME, JAUME
Mention:International Mention
RELATED PUBLICATIONS
Knowledge management in optical networks: architecture, methods, and use cases [Invited]
Ruiz, M.; Tabatabaeimehr, F.; Velasco, L.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2020: 3.984; Quartil: Q1)
Publication date: 01/01/2020
Journal article

Modeling and assessing connectivity services performance in a sandbox domain
Ruiz, M.; Ruiz, M.; Tabatabaeimehr, F.; Gifré, L.; López-Buedo, S.; López de Vergara, J.; González de Dios , O.; Velasco, L.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2020: 4.142; Quartil: Q1)
Publication date: 15/06/2020
Journal article

Cooperative learning for disaggregated delay modeling in multidomain networks
Tabatabaeimehr, F.; Ruiz, M.; Proietti, R.; Velasco, L.; Liu, C.; Chen, X.; Yoo, S.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2021: 4.758; Quartil: Q2)
Publication date: 05/05/2021
Journal article

Distributed and centralized options for self-learning
21st International Conference on Transparent Optical Networks
Presentation date: 2019
Presentation of work at congresses

Knowledge management in optical networks
22nd International Conference on Transparent Optical Networks
Presentation date: 07/2020
Presentation of work at congresses

Supporting beyond 5G applications by coordinating AI-based intent operation: an example for multilayer metro networks
46th European Conference on Optical Communication
Presentation date: 12/2020
Presentation of work at congresses

AUTHOR:MACIÀ SORROSAL, SANDRA
Title:Towards a domain specific language for computational fluid dynamics in HPC
Reading date:26/05/2022
Director:AYGUADÉ PARRA, EDUARD
Co-director:BELTRAN QUEROL, VICENÇ
Mention:No mention
RELATED PUBLICATIONS
Automated generation of high-performance computational fluid dynamics codes
Macià, S.; Martínez-Ferrer, P.; Ayguade, E.; Beltran, V.
Journal of computational science, ISSN: 1877-7503 (JCR Impact Factor-2022: 3.3; Quartil: Q2)
Publication date: 05/2022
Journal article

Saiph: towards a DSL for high-performance computational fluid dynamics
3rd International Workshop on Real World Domain Specific Languages
Presentation date: 24/02/2018
Presentation of work at congresses

Assembling a high-productivity DSL for computational fluid dynamics
2019 Platform for Advanced Scientific Computing Conference
Presentation date: 14/06/2019
Presentation of work at congresses

Finite difference methods fengshui: alignment through a mathematics of arrays
6th ACM SIGPLAN International Workshop on Libraries, Languages and Compilers for Array Programming
Presentation date: 06/2019
Presentation of work at congresses

Combining one-sided communications with task-based programming models
23rd IEEE International Conference on Cluster Computing
Presentation date: 09/2021
Presentation of work at congresses

AUTHOR:GOMEZ CRESPO, CONSTANTINO
Title:On the co-design of scientific applications and long vector architectures
Reading date:23/05/2022
Tutor/a:LABARTA MANCHO, JESUS JOSE
Director:MANTOVANI, FILIPPO
Co-director:CASAS GUIX, MARC
Mention:No mention
RELATED PUBLICATIONS
Design space exploration of next-generation HPC machines
33rd IEEE International Parallel and Distributed Processing Symposium
Presentation date: 21/05/2019
Presentation of work at congresses

Efficiently running SpMV on long vector architectures
26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Presentation date: 02/03/2021
Presentation of work at congresses

AUTHOR:BENEDICTE ILLESCAS, PEDRO
Title:Smart hardware designs for probabilistically-analyzable processor architectures
Reading date:07/04/2022
Director:CAZORLA ALMEIDA, FRANCISCO JAVIER
Co-director:LABARTA MANCHO, JESUS JOSE
Mention:No mention
RELATED PUBLICATIONS
Locality-aware cache random replacement policies
Benedicte, P.; Hernández, C.; Abella, J.; Cazorla, F. J.
Journal of systems architecture, ISSN: 1873-6165 (JCR Impact Factor-2019: 2.552; Quartil: Q2)
Publication date: 01/02/2019
Journal article

Performance analysis and optimization opportunities for NVIDIA automotive GPUs
Tabani, H.; Mazzocchetti, F.; Benedicte, P.; Abella, J.; Cazorla, F.
Journal of parallel and distributed computing, ISSN: 0743-7315 (JCR Impact Factor-2021: 4.542; Quartil: Q1)
Publication date: 06/2021
Journal article

Modelling the confidence of timing analysis for time randomised caches
11th IEEE International Symposium on Industrial Embedded Systems
Presentation date: 05/2016
Presentation of work at congresses

RPR: a random replacement policy with limited pathological replacements
33th ACM Symposium On Applied Computing
Presentation date: 09/04/2018
Presentation of work at congresses

Design and integration of hierarchical-placement multi-level caches for real-Time systems
2018 Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 23/04/2018
Presentation of work at congresses

HWP: hardware support to reconcile cache energy, complexity, performance and WCET estimates in multicore real-time systems
30th Euromicro Conference on Real-Time Systems
Presentation date: 01/06/2018
Presentation of work at congresses

Towards limiting the impact of timing anomalies in complex real-time processors
24th Asia and South Pacific Design Automation Conference
Presentation date: 01/2019
Presentation of work at congresses

LAEC: Look-Ahead Error Correction codes in embedded processors L1 data cache
22nd Design, Automation and Test in Europe Conference and Exhibition
Presentation date: 03/2019
Presentation of work at congresses

Performance analysis and optimization of automotive GPUs
31st International Symposium on Computer Architecture and High Performance Computing
Presentation date: 16/10/2019
Presentation of work at congresses

Modeling contention interference in crossbar-based systems via Sequence-Aware Pairing (SeAP)
IEEE Real-Time and Embedded Technology and Applications Symposium
Presentation date: 04/2020
Presentation of work at congresses

SafeTI: a hardware traffic injector for MPSoC functional and timing validation
27th IEEE International Symposium on On-Line Testing and Robust System Design
Presentation date: 06/2021
Presentation of work at congresses

AUTHOR:SÁNCHEZ BARRERA, ISAAC
Title:Exploiting data locality in cache-coherent NUMA systems
Reading date:06/04/2022
Director:CASAS GUIX, MARC
Co-director:MORETÓ PLANAS, MIQUEL
Mention:International Mention
RELATED PUBLICATIONS
POSTER: Graph partitioning applied to dag scheduling to reduce NUMA effects
PPoPP '18 - 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Presentation date: 24/02/2018
Presentation of work at congresses

Reducing data movement on large shared memory systems by exploiting computation dependencies
32nd International Conference on Supercomputing
Presentation date: 12/06/2018
Presentation of work at congresses

On the benefits of tasking with OpenMP
15th International Workshop on OpenMP
Presentation date: 13/09/2019
Presentation of work at congresses

Modeling and optimizing NUMA effects and prefetching with machine learning
34th International Conference on Supercomputing
Presentation date: 06/2020
Presentation of work at congresses

AUTHOR:RAMÍREZ LAZO, CRISTÓBAL
Title:Adaptable register file organization for vector processors
Reading date:04/04/2022
Director:CRISTAL KESTELMAN, ADRIAN
Co-director:RAMÍREZ SALINAS, MARCO ANTONIO
Mention:International Mention
RELATED PUBLICATIONS
A RISC-V simulator and benchmark suite for designing and evaluating vector architectures
Ramírez, C.; Hernández, C.; Palomar, Ó.; Unsal, O.; Ramirez, M.; Cristal, A.
ACM transactions on architecture and code optimization, ISSN: 1544-3566 (JCR Impact Factor-2020: 0.919; Quartil: Q4)
Publication date: 11/2020
Journal article

An academic RISC-V silicon implementation based on open-source components
XXXV Conference on Design of Circuits and Integrated Systems
Presentation date: 20/11/2020
Presentation of work at congresses

BiSon-e: a lightweight and high-performance accelerator for narrow integer linear algebra computing on the edge
27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems
Presentation date: 2022
Presentation of work at congresses

Sargantana: an academic SoC RISC-V processor in 22nm FDSOI technology
38th Conference on Design of Circuits and Integrated Systems
Presentation date: 11/2023
Presentation of work at congresses

AUTHOR:SANCHEZ VERDEJO, ROMMEL
Title:HPC memory systems: Implications of system simulation and checkpointing
Reading date:04/02/2022
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:RADOJKOVIC, PETAR
Mention:No mention
RELATED PUBLICATIONS
PROFET: modeling system performance and energy without simulating the CPU
Radulovic, M.; Sanchez, R.; Carpenter, P.; Radojkovic, Petar; Jacob, B.; Ayguade, E.
Proceedings of the ACM on Measurement and Analysis of Computing Systems, ISSN:
Publication date: 06/2019
Journal article

Performance and power estimation of STT-MRAM main memory with reliable system-level simulation
Asifuzzaman, K.; Sanchez, R.; Radojkovic, Petar
ACM transactions on embedded computing systems, ISSN: 1558-3465 (JCR Impact Factor-2022: 2.0; Quartil: Q3)
Publication date: 01/2022
Journal article

Microbenchmarks for detailed validation and tuning of hardware simulators
15th International Conference on High Performance Computing & Simulation
Presentation date: 20/07/2017
Presentation of work at congresses

Main memory latency simulation: the missing link
International Symposium on Memory Systems 2018
Presentation date: 01/10/2018
Presentation of work at congresses

Rethinking cycle accurate DRAM simulation
International Symposium on Memory Systems
Presentation date: 09/2019
Presentation of work at congresses

AUTHOR:RASOL, KURDMAN ABDULRAHMAN RASOL
Title:Flexible architecture for the future internet scalability of SDN control plane
Reading date:28/01/2022
Director:DOMINGO PASCUAL, JORDI
Mention:No mention
RELATED PUBLICATIONS
Joint placement latency optimization of the control plane
7th International Symposium on Networks, Computers and Communications
Presentation date: 20/10/2020
Presentation of work at congresses

Evaluation of joint controller placement for latency and reliability-aware control plane
8th International Conference on Software Defined Systems
Presentation date: 2021
Presentation of work at congresses

Joint latency and reliability-aware controller placement
35th International Conference on Information Networking
Presentation date: 10/01/2021
Presentation of work at congresses

Multi-level hierarchical controller placement in software defined networking
12th International Networking Conference
Presentation date: 21/09/2020
Presentation of work at congresses

AUTHOR:ELSHAZLY, HATEM MOHAMED ABDELFATTAH EID
Title:Programming model abstractions for optimizing I/O intensive applications
Reading date:28/01/2022
Director:BADIA SALA, ROSA MARIA
Mention:No mention
RELATED PUBLICATIONS
Accelerated execution via eager-release of dependencies in task-based workflows
Elshazly, H.; Lordan, F.; Ejarque, J.; Badia, R.M.
The international journal of high performance computing applications (IJHPCA), ISSN: 1094-3420 (JCR Impact Factor-2021: 2.82; Quartil: Q2)
Publication date: 01/07/2021
Journal article

Towards enabling I/O awareness in task-based programming models
Elshazly, H.; Ejarque, J.; Lordan, F.; Badia, R.M.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2021: 7.307; Quartil: Q1)
Publication date: 08/2021
Journal article

Storage-heterogeneity aware task-based programming models to optimize I/O intensive applications
Elshazly, H.; Ejarque, J.; Badia, R.M.
IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2022: 5.3; Quartil: Q1)
Publication date: 01/12/2022
Journal article

Performance meets programmability: Enabling native Python MPI tasks in PyCOMPSs
28th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing
Presentation date: 03/2020
Presentation of work at congresses

AUTHOR:PUEYO CENTELLES, ROGER
Title:Towards LoRa mesh networks for the IoT
Reading date:12/11/2021
Director:MESEGUER PALLARES, ROQUE
Co-director:FREITAG, FELIX
Mention:No mention
RELATED PUBLICATIONS
LoRaMoto: a communication system to provide safety awareness among civilians after an earthquake
Roger Pueyo Centelles; Meseguer, R.; Freitag, F.; Navarro, L.; Ochoa, Sergio F.; Santos, R.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2021: 7.307; Quartil: Q1)
Publication date: 02/2021
Journal article

Beyond the star of stars: An introduction to multihop and mesh for LoRa and LoRaWAN
Roger Pueyo Centelles; Freitag, F.; Meseguer, R.; Navarro, L.
IEEE pervasive computing, ISSN: 1536-1268 (JCR Impact Factor-2021: 1.603; Quartil: Q3)
Publication date: 04/2021
Journal article

An IoT-based infrastructure to enhance self-evacuations in natural hazardous events
Finochietto, M.; Micheletto, M.; Eggly, G.; Roger Pueyo Centelles; Santos, R.; Ochoa, Sergio F.; Meseguer, R.; Orozco, J.
Personal and ubiquitous computing, ISSN: 1617-4909 (JCR Impact Factor-2020: 3.006; Quartil: Q2)
Publication date: 2022
Journal article

On-device training of machine learning models on microcontrollers with federated learning
Llisterri, N.; Monfort Grau, M.; Roger Pueyo Centelles; Freitag, F.
Electronics (Switzerland), ISSN: 2079-9292 (JCR Impact Factor-2022: 2.9; Quartil: Q2)
Publication date: 14/02/2022
Journal article

Novel architecture for cellular IoT in future non-terrestrial networks: store and forward adaptations for enabling discontinuous feeder link operation
Kellermann, T.; Roger Pueyo Centelles; Camps-Mur, D.; Ferrús, R.; Guadalupi, M.; Calveras, A.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2022: 3.9; Quartil: Q2)
Publication date: 29/06/2022
Journal article

A LoRa-Based communication system for coordinated response in an earthquake Aftermath
13th International Conference on Ubiquitous Computing and Ambient Intelligence
Presentation date: 2019
Presentation of work at congresses

REDEMON: Resilient Decentralized Monitoring system for edge Infrastructures
20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing
Presentation date: 05/2020
Presentation of work at congresses

DIMON: Distributed Monitoring System for decentralized edge clouds in Guifi.net
12th IEEE Conference on Service-Oriented Computing and Applications
Presentation date: 2019
Presentation of work at congresses

End user-managed service deployments in microclouds at the network edge
8th IEEE Global Conference on Consumer Electronics
Presentation date: 10/2019
Presentation of work at congresses

A monitoring system for distributed edge infrastructures with decentralized coordination
5th International Symposium on Algorithmic Aspects of Cloud Computing
Presentation date: 09/2019
Presentation of work at congresses

On-device training of machine learning models on microcontrollers with a look at federated learning
GoodIT 2021 - 1st ACM International Conference on Information Technology for Social Good
Presentation date: 09/2021
Presentation of work at congresses

Enabling multi-tenant cellular IoT services over LEO constellations in future 6G networks
73rd International Astronautical Congress
Presentation date: 20/09/2022
Presentation of work at congresses

AUTHOR:BARANDA HORTIGÜELA, JORGE
Title:End-to-end network service orchestration in heterogeneous domains for next-generation mobile networks
Reading date:09/11/2021
Tutor/a:CABELLOS APARICIO, ALBERTO
Director:MANGUES BAFALLUY, JOSEP
Mention:No mention
RELATED PUBLICATIONS
Orchestration of end-to-end network services in the 5G-Crosshaul multi-domain multi-technology transport network
Baranda, J.; Josep Mangues-Bafalluy; Pascual, I.; José Núñez-Martínez
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2018: 10.356; Quartil: Q1)
Publication date: 07/2018
Journal article

Realising the network service federation vision: enabling automated multidomain orchestration of network services
Baranda, J.; Josep Mangues-Bafalluy; Martínez, R.
IEEE Vehicular technology magazine: connecting the Mobile world, ISSN: 1556-6072 (JCR Impact Factor-2020: 10.384; Quartil: Q1)
Publication date: 06/2020
Journal article

Automated Service Provisioning and Hierarchical SLA Management in 5G Systems
Li, X.; Chiasserini, C.F.; Josep Mangues-Bafalluy; Baranda, J.; Landi, G.; Martini, B.; Costa-Pérez, X.; Puligheddu, C.; Valcarenghi, L.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2021: 4.758; Quartil: Q2)
Publication date: 2021
Journal article

Wireless Interface agent for SDN mmWave multi-hop networks: design and experimental evaluation
2nd ACM Workshop on Millimeter Wave Networks and Sensing Systems
Presentation date: 10/2018
Presentation of work at congresses

Deploying a containerized ns-3/LENA-based LTE mobile Network Service through the 5G-TRANSFORMER platform
2018 IEEE Conference on Network Function Virtualization and Software Defined Networks
Presentation date: 11/2018
Presentation of work at congresses

5G-TRANSFORMER service orchestrator: design implementation and evaluation
2019 European Conference on Networks and Communications
Presentation date: 06/2019
Presentation of work at congresses

Demo: composing services in 5G-TRANSFORMER
Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Presentation date: 07/2019
Presentation of work at congresses

Automated deployment and scaling of automotive safety services in 5G-Transformer
2019 IEEE Conference on Network Function Virtualization and Software Defined Networks
Presentation date: 11/2019
Presentation of work at congresses

Demo: AIML-as-a-Service for SLA management of a Digital Twin Virtual Network Service
Annual IEEE Conference on Computer Communications 2021
Presentation date: 05/2021
Presentation of work at congresses

Scaling Federated Network Services: Managing SLAs in Multi-Provider Industry 4.0 Scenarios
Annual IEEE Conference on Computer Communications 2021
Presentation date: 05/2021
Presentation of work at congresses

Experimental Validation of Compute and Network Resource Abstraction and Allocation Mechanisms within an NFV Infrastructure
IFIP/IEEE International Symposium on Integrated Network Management
Presentation date: 05/2021
Presentation of work at congresses

AUTHOR:PAILLISSÉ VILANOVA, JORDI
Title:Next generation overlay networks: security, trust, and deployment challenges
Reading date:23/07/2021
Director:CABELLOS APARICIO, ALBERTO
Co-director:MAINO, FABIO
Mention:International Mention
RELATED PUBLICATIONS
Programmable overlays via OpenOverlayRouter
Rodriguez, A.; Paillisse, J.; Coras, F.; Lopez, A.; Jakab, L.; Marc Portoles-Comeras; Natarajan , P.; Meyer, D.; Farinacci, D.; Maino, F.; Albert Cabellos-Aparicio; Ermagan, V.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2017: 9.27; Quartil: Q1)
Publication date: 01/06/2017
Journal article

Decentralized trust in the inter-domain routing infrastructure
Paillisse, J.; Manrique, J.; Bonet, G.; Rodríguez, A.; Maino, F.; Albert Cabellos-Aparicio
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2019: 3.745; Quartil: Q1)
Publication date: 01/01/2019
Journal article

ALLIANCE Project: Architecting a Knowledge-Defined 5G-Enabled Network Infrastructure
20th International Conference on Transparent Optical Networks
Presentation date: 04/07/2018
Presentation of work at congresses

IPchain: securing IP prefix allocation and delegation with blockchain
14th IEEE International Conference on Green Computing and Communications
Presentation date: 08/2018
Presentation of work at congresses

Distributed access control with blockchain
IEEE International Conference on Communications 2019
Presentation date: 21/05/2019
Presentation of work at congresses

SD-access: practical experiences in designing and deploying software defined enterprise networks
16th International Conference on Emerging Networking Experiments and Technologies
Presentation date: 12/2020
Presentation of work at congresses

A control plane for WireGuard
30th International Conference on Computer Communications and Networks
Presentation date: 07/2021
Presentation of work at congresses

AUTHOR:BOSCH PONS, JAUME
Title:Breaking host-centric management of Task-Based Parallel Programming Models
Reading date:21/07/2021
Director:ALVAREZ MARTINEZ, CARLOS
Co-director:JIMENEZ GONZALEZ, DANIEL
Mention:No mention
RELATED PUBLICATIONS
Method of managing task dependencies at runtime in a parallel computing system of a hardware processing system and a hardware acceleration processor
Universitat Politècnica de Catalunya
Registration date: 06/09/2022
Patent

A hardware runtime for task-based programming models
Tan, X.; Bosch, Jaume; Alvarez, C.; Jimenez, D.; Ayguade, E.; Valero, M.
IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2019: 2.6; Quartil: Q2)
Publication date: 01/09/2019
Journal article

Asynchronous runtime with distributed manager for task-based programming models
Bosch, Jaume; Alvarez, C.; Jimenez, D.; Martorell, X.; Ayguade, E.
Parallel computing, ISSN: 0167-8191 (JCR Impact Factor-2020: 0.986; Quartil: Q3)
Publication date: 09/2020
Journal article

OmpSs@FPGA framework for high performance FPGA computing
De Haro, J.; Bosch, Jaume; Filgueras, A.; Vidal, Miquel; Jimenez, D.; Alvarez, C.; Martorell, X.; Ayguade, E.; Labarta, J.
IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2021: 3.183; Quartil: Q2)
Publication date: 01/12/2021
Journal article

High performance computing PP-distance algorithms to generate X-ray spectra from 3D models
González, C.; Balocco, S.; Bosch, Jaume; De Haro, J.; Paolini, M.; Filgueras, A.; Alvarez, C.; Pons, R.
International journal of molecular sciences, ISSN: 1422-0067 (JCR Impact Factor-2022: 5.6; Quartil: Q1)
Publication date: 27/09/2022
Journal article

TaskGenX: A hardware-software proposal for accelerating task parallelism
International Conference on High Performance Computing 2018
Presentation date: 06/2018
Presentation of work at congresses

Asynchronous task creation for task-based parallel programming
2018 OpenMP Developers Conference
Presentation date: 09/2018
Presentation of work at congresses

Supporting task creation inside FPGA devices
6th BSC Severo Ochoa Doctoral Symposium
Presentation date: 07/05/2019
Presentation of work at congresses

Application acceleration on FPGAs with OmpSs@FPGA
2018 International Conference on Field-Programmable Technology
Presentation date: 10/12/2018
Presentation of work at congresses

Adding tightly-integrated task scheduling acceleration to a RISC-V multi-core processor
52th Annual IEEE/ACM International Symposium on Microarchitecture
Presentation date: 10/2019
Presentation of work at congresses

Breaking master-slave model between host and FPGAs
25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Presentation date: 19/02/2020
Presentation of work at congresses

Design and implementation of an architecture-aware hardware runtime for heterogeneous systems
7th BSC Severo Ochoa Doctoral Symposium 2020
Presentation date: 05/2020
Presentation of work at congresses

Task-based programming models for heterogeneous recurrent workloads
17th International Symposium on Applied Reconfigurable Computing
Presentation date: 30/06/2021
Presentation of work at congresses

AUTHOR:TAGHVAEE, HAMIDREZA
Title:On scalable, reconfigurable, and intelligent metasurfaces
Reading date:21/07/2021
Director:CABELLOS APARICIO, ALBERTO
Co-director:ABADAL CAVALLÉ, SERGI
Award:
Mention:International Mention
RELATED PUBLICATIONS
The scaling laws of HyperSurfaces
Taghvaee, H.; S. Abadal; Alarcon, E.; Albert Cabellos-Aparicio; Saeed, T.; Pitsillides, A.; Tsilipakos, O.; Liaskos, C.; Tasolamprou, A.; Kafesaki, M.; Pitilakis, A.; Kantartzis, N.; Soteriou, V.; Lestas, M.
CRC Press
Publication date: 2020
Book chapter

Exploration of intercell wireless millimeter-wave communication in the landscape of intelligent metasurfaces
Tasolamprou, A.; Pitilakis, A.; S. Abadal; Tsilipakos, O.; Timoneda, X.; Taghvaee, H.; Mirmoosa, M.; Liu, F.; Liaskos, C.; Tsioliaridou, A.; Ioannidis, S.; Kantartzis, N.; Manessis, D.; Albert Cabellos-Aparicio; Alarcon, E.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2019: 3.745; Quartil: Q1)
Publication date: 01/01/2019
Journal article

Scalability analysis of programmable metasurfaces for beam steering
Taghvaee, H.; S. Abadal; Pitilakis, A.; Tsilipakos, O.; Tasolamprou, A.; Liaskos, C.; Kafesaki, M.; Kantartzis, N.; Albert Cabellos-Aparicio; Alarcon, E.
IEEE access, ISSN: 2169-3536 (JCR Impact Factor-2020: 3.367; Quartil: Q2)
Publication date: 01/01/2020
Journal article

Toward intelligent metasurfaces: the progress from globally tunable metasurfaces to software-defined metasurfaces with an embedded network of controllers
Tsilipakos, O.; Tasolamprou, A.; Pitilakis, A.; Liu, F.; Wang, X.; Mirmoosa, M.; Tzarouchis, D.; S. Abadal; Taghvaee, H.; Liaskos, C.; Tsioliaridou, A.; Georgiou, J.; Albert Cabellos-Aparicio; Alarcon, E.; Ioannidis, S.; Pitsillides, A.; Akyildiz, I.; Kantartzis, N.; Economou, E.; Soukoulis, C.; Kafesaki, M.; Tretyakov, S.
Advanced optical materials, ISSN: 2195-1071 (JCR Impact Factor-2020: 9.926; Quartil: Q1)
Publication date: 01/01/2020
Journal article

Error analysis of programmable metasurfaces for beam steering
Taghvaee, H.; Albert Cabellos-Aparicio; Georgiou, J.; S. Abadal
IEEE Journal on Emerging and Selected Topics in Circuits and Systems, ISSN: 2156-3357 (JCR Impact Factor-2020: 3.916; Quartil: Q1)
Publication date: 01/03/2020
Journal article

Radiation pattern prediction for metasurfaces: A neural network-based approach
Taghvaee, H.; Jain, A.; Timoneda i, X.; Liaskos, C.; S. Abadal; Alarcon, E.; Albert Cabellos-Aparicio
Sensors (Basel), ISSN: 1424-8220 (JCR Impact Factor-2021: 3.847; Quartil: Q2)
Publication date: 14/04/2021
Journal article

Subwavelength focusing by engineered power-flow conformal metamirrors
Taghvaee, H.; Liu, F.; Tretyakov, S.; Díaz, A.
Physical review. B, ISSN: 2469-9969 (JCR Impact Factor-2021: 3.908; Quartil: Q2)
Publication date: 15/12/2021
Journal article

Workload characterization and traffic analysis for reconfigurable intelligent surfaces within 6G wireless systems
Saeed, T.; S. Abadal; Liaskos, C.; Pitsillides, A.; Taghvaee, H.; Albert Cabellos-Aparicio; Soteriou, V.; Alarcon, E.; Akyildiz, I.; Lestas, M.
IEEE transactions on mobile computing, ISSN: 1536-1233 (JCR Impact Factor-2021: 6.075; Quartil: Q1)
Publication date: 01/05/2023
Journal article

On the use of genetic algorithm to design and optimize graphene-based absorbers
Nanophotonics and Micro/Nano Optics International Conference 2018
Presentation date: 01/10/2018
Presentation of work at congresses

Opportunistic beamforming in wireless network-on-chip
2019 IEEE International Symposium on Circuits and Systems
Presentation date: 05/2019
Presentation of work at congresses

Fault tolerance in programmable metasurfaces: the beam steering case
2019 IEEE International Symposium on Circuits and Systems
Presentation date: 2019
Presentation of work at congresses

Workload characterization of programmable metasurfaces
6th ACM International Conference on Nanoscale Computing and Communication
Presentation date: 09/2019
Presentation of work at congresses

Extremum seeking control for beam steering using hypersurfaces
IEEE International Conference on Communications 2020
Presentation date: 06/2020
Presentation of work at congresses

On the use of programmable metasurfaces in vehicular networks
22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications
Presentation date: 09/2021
Presentation of work at congresses

Architecting more than Moore: wireless plasticity for massive heterogeneous computer architectures (WiPLASH)
18th ACM International Conference on Computing Frontiers
Presentation date: 13/05/2021
Presentation of work at congresses

AUTHOR:BARREDO FERREIRA, ADRIÁN
Title:Novel techniques to improve the performance and the energy of vector architectures
Reading date:19/07/2021
Director:MORETÓ PLANAS, MIQUEL
Co-director:ARMEJACH SANOSA, ADRIÀ
Mention:International Mention
RELATED PUBLICATIONS
Efficiency analysis of modern vector architectures: vector ALU sizes, core counts and clock frequencies
Barredo, A.; Cebrián González, Juan Manuel; Valero, M.; Casas, M.; Moreto, M.
Journal of supercomputing, ISSN: 0920-8542 (JCR Impact Factor-2020: 2.474; Quartil: Q2)
Publication date: 03/2020
Journal article

Semi-automatic validation of cycle-accurate simulation infrastructures: The case for gem5-x86
Cebrián González, Juan Manuel; Barredo, A.; Caminal, H.; Moreto, M.; Casas, M.; Valero, M.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 11/2020
Journal article

Compiler-assisted compaction/restoration of SIMD instructions
Cebrián, J.; Balem, T.; Barredo, A.; Casas, M.; Moreto, M.; Ros Bardisa, Alberto; Jimborean, A.
IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2022: 5.3; Quartil: Q1)
Publication date: 01/04/2022
Journal article

POSTER: SPiDRE: accelerating sparse memory access patterns
28th International Conference on Parallel Architectures and Compilation Techniques
Presentation date: 09/2019
Presentation of work at congresses

An optimized predication execution for SIMD extensions
28th International Conference on Parallel Architectures and Compilation Techniques
Presentation date: 09/2019
Presentation of work at congresses

Improving predication efficiency through compaction/restoration of SIMD instructions
HPCA 2020 - 27th International Symposium on High-Performance Computer Architecture
Presentation date: 2020
Presentation of work at congresses

PLANAR: a programmable accelerator for near-memory data rearrangement
35th International Conference on Supercomputing
Presentation date: 06/2021
Presentation of work at congresses

VIA: A smart scratchpad for vector units with application to sparse matrix computations
27th International Symposium on High Performance Computer Architecture
Presentation date: 2021
Presentation of work at congresses

AUTHOR:BELLVER BUENO, MÍRIAM
Title:Image and video object segmentation in low supervision scenarios
Reading date:26/03/2021
Director:TORRES VIÑALS, JORDI
Co-director:GIRÓ NIETO, XAVIER
Mention:No mention
RELATED PUBLICATIONS
Mask-guided sample selection for semi-supervised instance segmentation
Bellver, M.; Salvador, A.; Torres, J.; Giro, X.
Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2020: 2.757; Quartil: Q2)
Publication date: 05/07/2020
Journal article

The Liver Tumor Segmentation Benchmark (LiTS)
Bilic, P.; Christ, P.; Li, H.; Vorontso, E.; Ben, A.; Kaissis, G.; Szeski, A.; Bellver, M.; Giro, X.; Torres, J.
Medical image analysis, ISSN: 1361-8415 (JCR Impact Factor-2021: 15.6
Publication date: 02/2023
Journal article

Hierarchical object detection with deep reinforcement learning
Third Deep Reinforcement Learning Workshop
Presentation date: 16/12/2016
Presentation of work at congresses

Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster
International Conference on Computational Science 2017
Presentation date: 14/06/2017
Presentation of work at congresses

Detection-aided liver lesion segmentation using deep learning
Machine Learning for Health Workshop at NIPS 2017
Presentation date: 08/12/2017
Presentation of work at congresses

RVOS: end-to-end recurrent network for video object segmentation
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 19/06/2019
Presentation of work at congresses

Budget-aware semi-supervised semantic and instance segmentation
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Presentation date: 16/06/2019
Presentation of work at congresses

AUTHOR:SEGURA SALVADOR, ALBERT
Title:High-performance and energy-efficient irregular graph processing on GPU architectures
Reading date:18/02/2021
Director:ARNAU MONTAÑES, JOSÉ MARÍA
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No mention
RELATED PUBLICATIONS
Low-power automatic speech recognition through a mobile GPU and a Viterbi accelerator
Yazdani, R.; Segura, A.; Arnau, J.; Gonzalez, A.
IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2017: 1.913; Quartil: Q2)
Publication date: 12/04/2017
Journal article

An ultra low-power hardware accelerator for automatic speech recognition
49th Annual IEEE/ACM Symposium on Microarchitecture
Presentation date: 17/10/2016
Presentation of work at congresses

SCU: a GPU stream compaction unit for graph processing
46th International Symposium on Computer Architecture
Presentation date: 24/06/2019
Presentation of work at congresses

AUTHOR:MAROÑAS BRAVO, MARCOS
Title:On the design and development of programming models for exascale systems
Reading date:17/02/2021
Director:BELTRAN QUEROL, VICENÇ
Co-director:AYGUADÉ PARRA, EDUARD
Mention:International Mention
RELATED PUBLICATIONS
Extending the OpenCHK Model with advanced checkpoint features
Maroñas, M.; Mateo, S.; Keller, K.; Bautista Gomez, Leonardo Arturo; Ayguade, E.; Beltran, V.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 11/2020
Journal article

Worksharing tasks: An efficient way to exploit irregular and fine-grained loop parallelism
IEEE 26th International Conference on High Performance Computing, Data, and Analytics
Presentation date: 12/2019
Presentation of work at congresses

Evaluating worksharing tasks on distributed environments
22nd IEEE International Conference on Cluster Computing
Presentation date: 09/2020
Presentation of work at congresses

Advanced synchronization techniques for task-based runtime systems
26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
Presentation date: 27/02/2021
Presentation of work at congresses

AUTHOR:SILFA FELIZ, FRANYELL ANTONIO
Title:Energy-efficient architectures for recurrent neural networks
Reading date:25/01/2021
Director:ARNAU MONTAÑES, JOSÉ MARÍA
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No mention
RELATED PUBLICATIONS
Neuron-level fuzzy memoization in RNNs
52th Annual IEEE/ACM International Symposium on Microarchitecture
Presentation date: 14/10/2019
Presentation of work at congresses

Boosting LSTM performance through dynamic precision selection
27th International Conference on High Performance Computing, Data, and Analytics
Presentation date: 16/12/2020
Presentation of work at congresses

AUTHOR:BUCHACA PRATS, DAVID
Title:Learning workload behaviour models from monitored time-series for resource estimation towards data center optimization
Reading date:14/01/2021
Tutor/a:BECERRA FONTAL, YOLANDA
Director:CARRERA PÉREZ, DAVID
Co-director:BERRAL GARCÍA, JOSEP LLUÍS
Mention:International Mention
RELATED PUBLICATIONS
A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL
Jaksic, Z.; Cadenelli, N.; Buchaca, D.; Polo, J.; Berral, J.; Carrera, D.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 01/03/2020
Journal article

Sequence-to-sequence models for workload interference prediction on batch processing datacenters
Buchaca, D.; Marcual, J.; Berral, J.; Carrera, D.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 09/2020
Journal article

Proactive container auto-scaling for cloud native machine learning services
13th IEEE International Conference on Cloud Computing
Presentation date: 10/2020
Presentation of work at congresses

Theta-Scan: Leveraging behavior-driven forecasting for vertical auto-scaling in container cloud
14th IEEE International Conference on Cloud Computing
Presentation date: 2021
Presentation of work at congresses

AUTHOR:CAMPOS CAMÚÑEZ, VÍCTOR
Title:Deep learning that scales: Leveraging compute and data
Reading date:22/12/2020
Director:TORRES VIÑALS, JORDI
Co-director:GIRÓ NIETO, XAVIER
Mention:No mention
RELATED PUBLICATIONS
Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction
11th Women in Machine Learning Workshop
Presentation date: 05/12/2016
Presentation of work at congresses

Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters
17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Presentation date: 14/05/2017
Presentation of work at congresses

Importance weighted evolution strategies
Deep Reinforcement Learning Workshop 2018
Presentation date: 07/12/2018
Presentation of work at congresses

Skip RNN: learning to skip state updates in recurrent neural networks
6th International Conference on Learning Representations
Presentation date: 03/05/2018
Presentation of work at congresses

Comparing fixed and adaptive computation time for recurrent neural networks
6th International Conference on Learning Representations
Presentation date: 01/05/2018
Presentation of work at congresses

How to initialize your network? Robust initialization for WeightNorm & ResNets
33rd Annual Conference on Neural Information Processing Systems
Presentation date: 05/12/2019
Presentation of work at congresses

Explore, discover and learn: unsupervised discovery of state-covering skills
37th International Conference on Machine Learning
Presentation date: 14/07/2020
Presentation of work at congresses

AUTHOR:TRILLA RODRÍGUEZ, DAVID
Title:Non-functional considerations of time-randomized processor architectures
Reading date:04/12/2020
Tutor/a:CAZORLA ALMEIDA, FRANCISCO JAVIER
Director:ABELLA FERRER, JAIME
Co-director:HERNANDEZ LUZ, CARLES
Mention:International Mention
RELATED PUBLICATIONS
Worst-case energy consumption: A new challenge for battery-powered critical devices
Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J.
IEEE transactions on sustainable computing, ISSN: 2377-3782 (JCR Impact Factor-2021: 4.908; Quartil: Q1)
Publication date: 01/07/2021
Journal article

Modeling the impact of process variations in worst-case energy consumption estimation
22nd Euromicro Conference on Digital System Design
Presentation date: 08/2019
Presentation of work at congresses

An approach for detecting power peaks during testing and breaking systematic pathological behavior
22nd Euromicro Conference on Digital System Design
Presentation date: 08/2019
Presentation of work at congresses

SafeDE: a flexible Diversity Enforcement hardware module for light-lockstepping
27th IEEE International Symposium on On-Line Testing and Robust System Design
Presentation date: 06/2021
Presentation of work at congresses

SafeSU: an extended statistics unit for multicore timing interference
26th IEEE European Test Symposium
Presentation date: 05/2021
Presentation of work at congresses

AUTHOR:DIMIC, VLADIMIR
Title:Runtime-assisted optimizations in the on-chip memory hierarchy
Reading date:27/11/2020
Director:MORETÓ PLANAS, MIQUEL
Co-director:CASAS GUIX, MARC
Mention:No mention
RELATED PUBLICATIONS
Runtime-assisted shared cache insertion policies based on re-reference intervals
23rd International European Conference on Parallel and Distributed Computing
Presentation date: 30/08/2017
Presentation of work at congresses

RICH: implementing reductions in the cache hierarchy
34th International Conference on Supercomputing
Presentation date: 06/2020
Presentation of work at congresses

PrioRAT: criticality-driven prioritization inside the on-chip memory hierarchy
27th International European Conference on Parallel and Distributed Computing
Presentation date: 09/2021
Presentation of work at congresses

AUTHOR:SENGUPTA, SOUVIK
Title:Adaptive learning-based resource management strategy in fog-to-cloud
Reading date:20/10/2020
Director:GARCÍA ALMIÑANA, JORDI
Co-director:MASIP BRUIN, XAVIER
Mention:No mention
RELATED PUBLICATIONS
Essentiality of managing the resource information in the coordinated fog-to-cloud paradigm
Sengupta, S.; Garcia, J.; Masip, X.
International journal of communication systems, ISSN: 1074-5351 (JCR Impact Factor-2019: 1.319; Quartil: Q3)
Publication date: 26/12/2019
Journal article

An architectural schema for performance prediction using machine learning in the fog-to-cloud paradigm
2019 IEEE 10th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference
Presentation date: 10/2019
Presentation of work at congresses

SFDDM: a secure distributed database management in combined fog-to-cloud systems
2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks
Presentation date: 09/2019
Presentation of work at congresses

Collaborative learning-based schema for predicting resource usage and performance in F2C paradigm
14th IEEE International Conference on Advanced Networks and Telecommunications Systems
Presentation of work at congresses

AUTHOR:RIERA VILLANUEVA, MARC
Title:Low-power accelerators for cognitive computing
Reading date:09/10/2020
Director:ARNAU MONTAÑES, JOSÉ MARÍA
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No mention
RELATED PUBLICATIONS
CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference
Riera, M.; Arnau, J.; Gonzalez, A.
IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2019: 3.172; Quartil: Q1)
Publication date: 01/09/2019
Journal article

Computation reuse in DNNs by exploiting input similarity
The 45th International Symposium on Computer Architecture
Presentation date: 19/07/2018
Presentation of work at congresses

The dark side of DNN pruning
The 45th International Symposium on Computer Architecture
Presentation date: 02/06/2018
Presentation of work at congresses

AUTHOR:RAMÓN-CORTÉS VILARRODONA, CRISTIÁN
Title:Programming models to support data science workflows
Reading date:28/09/2020
Director:BADIA SALA, ROSA MARIA
Co-director:EJARQUE ARTIGAS, JORGE
Mention:International Mention
RELATED PUBLICATIONS
Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs
Amela, R.; Cristián Ramón-Cortés Vilarrodona; Ejarque, J.; Conejero, J.; Badia, R.M.
Oil and gas science and technology. Revue de l'Institut Français du Pétrole, ISSN: 1294-4475 (JCR Impact Factor-2018: 1.867; Quartil: Q1)
Publication date: 2018
Journal article

Transparent orchestration of task-based parallel applications in containers platforms
Cristián Ramón-Cortés Vilarrodona; Serven, A.; Ejarque, J.; Lezzi, D.; Badia, R.M.
Journal of grid computing, ISSN: 1570-7873 (JCR Impact Factor-2018: 3.288; Quartil: Q1)
Publication date: 01/02/2018
Journal article

AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python
Cristián Ramón-Cortés Vilarrodona; Amela, R.; Ejarque, J.; Clauss, P.; Badia, R.M.
The international journal of high performance computing applications (IJHPCA), ISSN: 1741-2846 (JCR Impact Factor-2020: 1.942; Quartil: Q2)
Publication date: 2020
Journal article

A programming model for hybrid workflows: combining task-based workflows and dataflows all-in-one
Cristián Ramón-Cortés Vilarrodona; Lordan, F.; Ejarque, J.; Badia, R.M.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 12/2020
Journal article

The impact of non-additive genetic associations on age-related complex diseases
Guindo, M.; Amela, R.; Bonàs-Guarch, S.; Puiggros, M.; Salvoro, C.; Miguel-Escalada, I.; Sánchez, F.; Cristián Ramón-Cortés Vilarrodona; Badia, R.M.; Ejarque, J.; Mercader, J.; Torrents , D.
Nature communications, ISSN: 2041-1723 (JCR Impact Factor-2021: 17.694; Quartil: Q1)
Publication date: 23/04/2021
Journal article

Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs
7th Workshop on Python for High-Performance and Scientific Computing
Presentation date: 11/11/2017
Presentation of work at congresses

Boosting atmospheric dust forecast with PyCOMPSs
14th IEEE International Conference on e-Science
Presentation date: 11/2018
Presentation of work at congresses

AUTHOR:REJIBA, ZEINEB
Title:Mobility-aware mechanisms for fog node discovery and selection
Reading date:10/09/2020
Director:MASIP BRUIN, XAVIER
Co-director:MARIN TORDERA, EVA
Mention:No mention
RELATED PUBLICATIONS
A user-centric mobility management scheme for high-density fog computing deployments
28th International Conference on Computer Communications and Networks
Presentation date: 30/07/2019
Presentation of work at congresses

Computation task assignment in vehicular fog computing: a learning approach via neighbor advice
18th IEEE International Symposium on Network Computing and Applications
Presentation date: 26/09/2019
Presentation of work at congresses

AUTHOR:SUÁREZ-VARELA MACIÁ, JOSÉ RAFAEL
Title:Enabling knowledge-defined networks: Deep reinforcement learning, graph neural networks and network analytics
Reading date:26/06/2020
Director:BARLET ROS, PERE
Co-director:CABELLOS APARICIO, ALBERTO
Mention:International Mention
RELATED PUBLICATIONS
Flow monitoring in software-defined networks: finding the accuracy/performance tradeoffs
Suarez-varela, J.; Barlet, P.
Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2018: 3.03; Quartil: Q1)
Publication date: 22/04/2018
Journal article

Routing in optical transport networks with deep reinforcement learning
Suarez-varela, J.; Mestres, A.; Yu, J.; Kuang, L.; Feng, H.; Albert Cabellos-Aparicio; Barlet, P.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2019: 3.425; Quartil: Q1)
Publication date: 2019
Journal article

Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN
5th Symposium on SDN Research
Presentation date: 04/04/2019
Presentation of work at congresses

Feature engineering for deep reinforcement learning based routing
IEEE International Conference on Communications 2019
Presentation date: 21/05/2019
Presentation of work at congresses

Detecting cryptocurrency miners with NetFlow/IPFIX network measurements
5th IEEE International Workshop on Measurements and Networking
Presentation date: 08/07/2019
Presentation of work at congresses

AUTHOR:ANGLADA SÁNCHEZ, MARTÍ
Title:Exploiting frame coherence in real-time rendering for energy-efficient GPUs.
Reading date:09/06/2020
Director:GONZÁLEZ COLÁS, ANTONIO MARIA
Co-director:PARCERISA BUNDO, JOAN MANUEL
Mention:No mention
RELATED PUBLICATIONS
SyRA: early system reliability analysis for cross-layer soft errors resilience in memory arrays of microprocessor systems
Vallero, A.; Savino, A.; Chatzidimitriou, A.; Kaliorakis, M.; Kooli, M.; Riera, M.; Anglada, M.; Di Natale, G.; Bosio, A.; Canal, R.; Gonzalez, A.; Gizopoulos, D.; Mariani, R.; Stefano Di Carlo
IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2018: 3.131; Quartil: Q1)
Publication date: 18/12/2018
Journal article

AUTHOR:NARO, DANIEL
Title:Security strategies in genomic files
Reading date:15/05/2020
Director:DELGADO MERCE, JAIME M.
Co-director:LLORENTE VIEJO, SILVIA
Mention:No mention
RELATED PUBLICATIONS
Reversible fingerprinting for genomic information
Naro, D.; Delgado, J.; Llorente, S.
Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2020: 2.757; Quartil: Q2)
Publication date: 03/01/2020
Journal article

Side channel attack on a partially encrypted MPEG-G file
Naro, D.; Delgado, J.; Llorente, S.
Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2021: 2.577; Quartil: Q2)
Publication date: 05/2021
Journal article

AUTHOR:SEMBROIZ AUSEJO, DAVID
Title:Ambient intelligence in buildings. Design and development of an interoperable Internet of Things platform
Reading date:06/03/2020
Director:CAREGLIO, DAVIDE
Co-director:RICCIARDI, SERGIO
Mention:No mention
RELATED PUBLICATIONS
Chapter 10- A novel cloud-based IoT architecture for smart building automation
Sembroiz, D.; Ricciardi, S.; Careglio, D.
Elsevier
Publication date: 2018
Book chapter

A GRASP meta-heuristic for evaluating the latency and lifetime impact of critical nodes in large wireless sensor networks
Sembroiz, D.; Ojaghi Kahjogh, B.; Careglio, D.; Ricciardi, S.
Applied sciences (Basel), ISSN: 2076-3417 (JCR Impact Factor-2019: 2.474; Quartil: Q2)
Publication date: 01/11/2019
Journal article

AUTHOR:MILUTINOVIC, SUZANA
Title:On the limits of probabilistic timing analysis
Reading date:18/12/2019
Director:CAZORLA ALMEIDA, FRANCISCO JAVIER
Co-director:ABELLA FERRER, JAIME
Mention:International Mention
RELATED PUBLICATIONS
Increasing the reliability of software timing analysis for cache-based processors
Milutinovic, S.; Mezzetti, Enrico; Abella, J.; Cazorla, F. J.
IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2019: 2.711; Quartil: Q2)
Publication date: 01/06/2019
Journal article

Measurement-based cache representativeness on multipath programs
55rd Design Automation Conference
Presentation date: 06/2018
Presentation of work at congresses

AUTHOR:BAIG, SHUJA-UR-REHMAN
Title:Data center's telemetry reduction and prediction through modeling techniques
Reading date:17/12/2019
Tutor/a:BECERRA FONTAL, YOLANDA
Director:CARRERA PÉREZ, DAVID
Co-director:BERRAL GARCÍA, JOSEP LLUÍS
Mention:No mention
RELATED PUBLICATIONS
Adaptive prediction models for data center resources utilization estimation
Baig, S.; Iqbal, W.; Berral, J.; Erradi, A.; Carrera, D.
IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2019: 3.878; Quartil: Q1)
Publication date: 12/2019
Journal article

Real-time data center's telemetry reduction and reconstruction using Markov chain models
Baig, S.; Iqbal, W.; Berral, J.; Erradi, A.; Carrera, D.
IEEE systems journal, ISSN: 1932-8184 (JCR Impact Factor-2019: 3.987; Quartil: Q1)
Publication date: 12/2019
Journal article

Adaptive sliding windows for improved estimation of data center resource utilization
Baig, S.; Iqbal, W.; Berral, J.; Carrera, D.
Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2020: 7.187; Quartil: Q1)
Publication date: 03/2020
Journal article

AUTHOR:GARRIDO PLATERO, LUIS ANGEL
Title:Virtualization techniques for memory resource exploitation
Reading date:26/11/2019
Director:CARPENTER, PAUL MATTHEW
Co-director:BADIA SALA, ROSA MARIA
Mention:No mention
RELATED PUBLICATIONS
Continuous-action reinforcement learning for memory allocation in virtualized servers
International Conference on High Performance Computing 2019
Presentation date: 06/2019
Presentation of work at congresses

SmarTmem: Intelligent management of transcendent memory in a virtualized server
33rd International Parallel and Distributed Processing Symposium Workshops
Presentation date: 05/2019
Presentation of work at congresses

AUTHOR:CAPDEVILA PUJOL, JOAN
Title:Exploring the topical structure of short text through probability models: from tasks to fundamentals
Reading date:26/09/2019
Director:TORRES VIÑALS, JORDI
Co-director:CERQUIDES BUENO, JESÚS
Mention:International Mention
RELATED PUBLICATIONS
Experiments with learning graphical models on text
Capdevila, J.; Zhao, H.; Petitjean, F.; Buntine, W.
Behaviormetrika, ISSN: 1349-6964
Publication date: 2018
Journal article

AUTHOR:VILLALBA NAVARRO, ÁLVARO
Title:Scalable processing of aggregate functions for data streams in resource-constrained environments
Reading date:05/09/2019
Director:CARRERA PÉREZ, DAVID
Mention:No mention
RELATED PUBLICATIONS
Multi-tenant Pub/Sub processing for real-time data streams
24th International European Conference on Parallel and Distributed Computing
Presentation date: 08/2018
Presentation of work at congresses

Constant-time approximate sliding window framework with error control
22nd IEEE International Symposium on Real-Time Distributed Computing
Presentation date: 05/2019
Presentation of work at congresses

AUTHOR:RADULOVIC, MILAN
Title:Memory bandwidth and latency in HPC: System requirements and performance impact
Reading date:07/05/2019
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:RADOJKOVIC, PETAR
Mention:No mention
RELATED PUBLICATIONS
Multilevel simulation-based co-design of next generation HPC microprocessors
12th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems
Presentation date: 2021
Presentation of work at congresses

AUTHOR:CARNEIRO DO AMARAL, MARCELO
Title:Improving resource efficiency in virtualized datacenters
Reading date:29/04/2019
Director:CARRERA PÉREZ, DAVID
Co-director:POLO BARDÉS, JORDÀ
Mention:No mention
RELATED PUBLICATIONS
DRMaestro: orchestrating disaggregated resources on virtualized data-centers
Carneiro Do, M.; Polo, J.; Carrera, D.; González, N.; Yang, C.; Morari, A.; D'Amora, B.; Youssef, A.; Steinder, M.
Journal of cloud computing, ISSN: 2192-113X (JCR Impact Factor-2021: 3.418; Quartil: Q2)
Publication date: 06/03/2021
Journal article

AUTHOR:RUMIPAMBA ZAMBRANO, RUBÉN DARÍO
Title:Contributions to network planning and operation of Flex-Grid/SDM optical core networks
Reading date:14/03/2019
Director:PERELLO MUNTAN, JORDI
Co-director:SPADARO, SALVATORE
Mention:No mention
RELATED PUBLICATIONS
Greenfield gradual migration planning toward spectrally-spatially flexible optical networks
Lechowicz, P.; Goscien, R.; Rumipamba, R.; Perello, J.; Spadaro, S.; Walkowiak, K.
IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2019: 11.052; Quartil: Q1)
Publication date: 01/10/2019
Journal article

Design and assessment of FM-MCFs-suited SDM-ROADMs with versatile spatial group configurations and unified QoT estimator
Rumipamba, R.; Muñoz, R.; Casellas Regi, Ramon; Perello, J.; Spadaro, S.; Elfiqi, A.
Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2020: 4.142; Quartil: Q1)
Publication date: 15/11/2020
Journal article

AUTHOR:SERRANO GRACIA, MARÍA ASTÓN
Title:A time-predictable parallel programing model for real-time systems
Reading date:13/03/2019
Tutor/a:MARTORELL BOFILL, XAVIER
Director:QUIÑONES MORENO, EDUARDO
Mention:International Mention
RELATED PUBLICATIONS
Predictable parallel programming with OpenMP
Serrano, M.; Royuela, S.; Marongiu, A.; Quiñones, E.
River Publishers
Publication date: 2018
Book chapter

Towards an OpenMP specification for critical real-time systems
14th International Workshop on OpenMP
Presentation date: 09/2018
Presentation of work at congresses

Response-time analysis of DAG tasks supporting heterogeneous computing
55rd Design Automation Conference
Presentation date: 06/2018
Presentation of work at congresses

AUTHOR:SHARIATI, MOHAMMAD BEHNAM
Title:Design, monitoring and performance evaluation of high capacity optical networks
Reading date:22/02/2019
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:COMELLAS COLOME, JAUME
Mention:International Mention
RELATED PUBLICATIONS
Real-time optical spectrum monitoring in filterless optical metro networks
Shariati, M.; Ruiz, M.; Fresi, F.; Sgambelluri, A.; Cugini, F.; Velasco, L.
Photonic network communications, ISSN: 1387-974X (JCR Impact Factor-2020: 2.028; Quartil: Q3)
Publication date: 17/06/2020
Journal article

QoT-aware performance evaluation of spectrally-spatially flexible optical networks over FM-MCFs
Arpanaei, F.; Ardalani, N.; Beyranvand, H.; Shariati, M.
Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2020: 3.984; Quartil: Q1)
Publication date: 01/08/2020
Journal article

Predictive autonomic transmission for low-cost low-margin metro optical networks
Ruiz, M.; Boitier, F.; Shariati, M.; Layec, P.; Velasco, L.
Photonic network communications, ISSN: 1387-974X (JCR Impact Factor-2020: 2.028; Quartil: Q3)
Publication date: 10/2020
Journal article

Feature-based optical spectrum monitoring for failure detection and identification
21st International Conference on Transparent Optical Networks
Presentation date: 10/07/2019
Presentation of work at congresses

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
03/04/202409/05/2024Collinder Venture Builder Programme: PETGEMFUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
01/03/202430/04/2024Recepció i integració del posicionament dels DRONS al DOTSITHINKUPC, S.L.
01/02/202431/01/2028HORIZON-101119983-NESTOR (MSCA)EUROPEAN COMMISSION
01/02/202430/06/2025Colaboración AKO-UPC, PERTE DICAROSAKO ELECTROMECÀNICA S.A.
29/01/202428/01/2026Under the skin of the city: Urban simulations for nature-based solutionsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
15/01/202428/11/2025Especificación de requisitos de standarización, políticas de seguridad, uso de carteras de Identidad Digital de la UE firmas y sellos electrónicos avanzados.ETSI
08/01/202407/01/2025Contracte de col·laboració per/'Capacitació per avaluar i prototipar tecnologia de grafs de coneixement, per implementar-la en projectes i eines de programari./'ENGINYERIA DE L'EDIFICACIO I PROJ M
01/01/202431/12/2026Automated end-to-end data life cycle management for FAIR data integration, processing and re-useCommission of European Communities
01/01/202431/12/2026Trustworthy Efficient AI for Cloud-Edge ComputingCommission of European Communities
01/01/202431/12/2027federated data and intelligence Orchestration & sharing for the Digital Energy transitiONCommission of European Communities
01/01/202430/06/2027AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-inthe-Loop and Coupling of Hybrid Science-Guided and AI ModelsCommission of European Communities
01/01/202431/12/2025Redes de malla LoRa para IoTAGENCIA ESTATAL DE INVESTIGACION
31/12/202330/12/2026Graph Neural Networks for Robust AI/ML-driven Network Security ApplicationsAGENCIA ESTATAL DE INVESTIGACION
21/12/202320/12/2024Desenvolupament d'una aplicació mòbil per a l'adquisició de dades de contaminació acústica, extracció de patrons de comportament mitjançant analítica de dades i eines suportades per l'AI i algorismesARTIS GABARRO PERE
01/11/202331/10/2026HORIZON-101119602-COBALTEUROPEAN COMMISSION
01/10/202330/09/2027Elastic Energy Distributed OrchestrationINTEL CORPORATION
01/10/202331/12/2024Assessorament tècnic en el desenvolupament de projectes d'epidemiològica clínica i translacional d'oncologia, així com l'estudi dels factors de risc de càncer i la medicina de precisió utilitzant tècnFUNDACIO CLINIC PER A LA RECERCA BI
12/09/202330/06/2026Chips para arquitecturas avanzadas y sistemas fotónicosMIN DE ECONOMIA Y COMPETITIVIDAD
01/09/202331/08/2026Técnicas basadas en datos para mejorar la calidad de la información en redes de nodos IoTAGENCIA ESTATAL DE INVESTIGACION
01/09/202331/08/2026Cybersecurity for the FutureCommission of European Communities
01/09/202301/09/2026Arquitectura y programación de computadores escalables de alto rendimiento y bajo consumo III - UZAgencia Estatal de Investigación; Ministerio de Ciencia e Innovación
10/07/202309/04/2024IDENTITY IN AN ETHICAL INTERNET COMMUNITY (ORCHESTRAL)Commission of European Communities
06/07/202305/04/2024IOTLORAMESH (IoT LoRa mesh network for far edge device integration). Open Call open call del projecte europeu ASSIST-IoTEUROPEAN COMMISSION
01/07/202328/02/2024Organización, participación y soporte a participantes de pruebas de interoperabilidad sobre formas LTA de firmas AdES y contenedores ASiC estandarizados por ETSI ESI.ETSI
12/06/202315/06/2023Huawei Suecia se ha comprometido en hacer una donación de 5000 euros a los organizadores de la conferencia IFIP/IEEE Networking 2023, que se celebrará en la UPC (Edifici Vertex) entre los dias 12-15 dHUAWEI TECHNOLOGIES SWEDEN AB
01/06/202331/05/2027SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGEEuropean Innovation Council and
01/06/202331/05/2026Implemented SynergIes, data sharing contracts and Goals between transport modes and AIR tansportationSESAR JOINT UNDERTAKING
01/06/202330/11/2025Measuring U-Space Social and Environmental Impact (MUSE)SESAR JOINT UNDERTAKING
01/06/202331/07/2023We request a $32,515 grant to research, design and prototype an architecture that identifies the network requirements of cloud applications by analyzing the service mesh graph, and instruments a SD-WASILICON VALLEY COMMUNITY FOUNDATION
01/06/202331/05/2024Amandla Community ProjectsCentre de Cooperació per al Desenvolupament de la UPC
01/06/202331/05/2024Manteniment i extensió d'una xarxa comunitària a la regió de Gandiol, SenegalCentre de Cooperació per al Desenvolupament de la UPC
01/06/202331/05/2024Cribratge i seguiment del tractament per Hipertensió Arterial (HTA) en col·lectius d'alta vulnerabilitat amb problemes d’accés al sistema sanitari. Validació de les eines i metodologies.Centre de Cooperació per al Desenvolupament de la UPC
01/05/202331/08/2024Continual Explainable Drift Detection and Adaptation for Autonomous Driving DataLenovo Data Center Group
01/05/202330/04/2026High Performance, Safe, Secure, Open-Source Leveraged RISC-V Domain-Specific EcosystemsUnión Europea
17/04/202316/04/2024IoT twinning for digital product passportsCommission of European Communities
01/04/202329/03/2024Mantenimiento correctivo y evolutivo de la herramienta de comprobación de conformidad de las listas de prestatarios de servicios de certificación de los paises miembros de la Unión Europea, contra laETSI
16/01/202315/04/2024Revisión de estándares de entrega electrónica de datos certificada y correo electrónico de datos. Estudio de nuevas tecnologías aplicables a dichos ámbitos. Redefinición del conjunto de estándares enETSI
01/01/202331/12/2025SElf-mAnaged Sustainable high-capacity Optical NetworksCommission of European Communities
01/01/202330/06/2025PRogrammable AI-Enabled DeterminIstiC neTworking for 6GCommission of European Communities
01/01/202331/12/2025Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud ServicesCommission of European Communities
01/01/202331/12/2025Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G NetworksCommission of European Communities
01/01/202331/12/2025Advanced Security-for-safety Assurance for Medical Device IoTEUROPEAN COMMISSION
01/01/202330/06/2026Agile uLtra Low EnerGy secuRe netwOrksEUROPEAN COMMISSION
01/01/202331/12/2025Community-Based Smart City Digital Twin Platform for Optimised DRM operations and Enhanced Community Disaster ResilienceCommission of European Communities
01/01/202331/12/2027A University Partnership for Acceleration of European UniversitiesCommission of European Communities
01/01/202331/12/2025Holistic, Omnipresent, Resilient Services for future 6G Wireless and Computing EcosystemsCommission of European Communities
01/01/202331/12/2025CLOUDSKIN: "Adaptive virtualization for AI-enabled Cloud-edge Continuum"European Comission
01/01/202331/12/2025VITAMIN-V: "Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services".European Commission
01/01/202331/12/2025SECURED: "Scaling Up secure Processing, Anonymization and generation of Health Data"European Commission
01/01/202331/12/2025NEARDATA: "Extreme Near-Data Processing Platform"European Comission
01/01/202331/12/2026CLOUDSTARS: "Cloud Open Source Research Mobility Network"European Commission
01/01/202331/12/2025gaZ: grupo de Arquitectura de Computadores de la Universidad de ZaragozaGobierno de Aragón. Consejería de Ciencia, Tecnología y Universidad
01/01/202331/12/2024Procesador Fuera de Orden Multinúcleo consciente de la aplicación basado en instrucciones abiertas RISC-VGobierno de España. Ministerio de Ciencia y Tecnología. Dirección General de Programas y de Transferencia de Conocimiento (Dgptc)
09/12/202230/06/2025QUANTUM COGNITIVE DIGITAL INDUSTRYREPSOL YPF, S.A.
01/12/202230/11/2024Multiscale electromagnetic Imaging of La Palma Island Geothermal SystemMinisterio de Ciencia e Innovación
01/11/202231/10/2025U-space European COMmon dEpLoymentCommission of European Communities
01/11/202231/03/2023Contrato de colaboración para la evolución y mantenimiento correctivo y evolutivo de herramientas de comprobación de conformidad de Trusted Lists de los Estados Miembro de la Unión Europea.ETSI
01/11/202228/02/2023Supercomputación para datos termocronológicos en sistemas petrolíferos: el caso de Colombia y su impacto en la transición energéticaBarcelona Supercomputing Center-Centro Nacional de Supercomputación
19/10/202218/07/2024Evolution of the technological readiness of two components (AINA and A-6MWT) part of the entire FOOXY suite for chronic respiratory patients.AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
18/10/202218/10/2022Distributed indexes.
27/09/202207/10/2022Contracte de col·laboració per el patrocini congrés AkademyKDE e.V.
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6GOpenLab)MINISTERIO DE ASUNTOS ECONÓMICOS Y TRANSFORMACIÓN DIGITAL
06/09/202206/09/2022Method of managing task dependencies at runtime in a parallel computing system of a hardware processing system and a hardware acceleration processor
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6G-OpenLab)MIN DE ECONOMIA Y COMPETITIVIDAD
01/09/202231/08/2025Towards a functional continuum operating systemCommission of European Communities
01/09/202231/08/2025Gestión inteligente del cloud continuum: Desarrollo de las funcionalidades clave de un SO (AGENCIA ESTATAL DE INVESTIGACION
01/09/202231/08/2025DALEST: "Distributed Analytics and Learning in Edge-to-Supercomputing Technologies"Gobierno de España. Ministerio de Ciencia y Tecnología. Dirección General de Programas y de Transferencia de Conocimiento (Dgptc)
01/09/202231/08/2025CROMAI: "Computational Resources Orchestration and Management for AI"AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
29/08/202229/08/2022Dispositivo para la realización de una prueba de marcha
01/07/202230/06/2025A EUROPEAN CYBER RESILIENCE FRAMEWORK WITH ARTIFICIAL INTELLIGENCE -ASSISTED ORCHESTRATION & AUTOMATION FOR BUSINESS CONTINUITY, INCIDENT RESPONSE & INFORMATION EXCHANGECommission of European Communities
01/07/202230/06/2025Securing tailings dam infrastructure with an innovative monitoring SystemEUROPEAN INST OF INNOV.& TECHNOL.
02/06/202202/06/2022Method for optimizing the management of a flow of data
01/06/202231/05/2023Projecte Building Hope: instal·lació d’aules informàtiques, wifi a escola i connexió a la comunitatCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Instal·lació de portàtils al centre de desenvolupament comunitari de CasamanceCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Cribratge i seguiment del tractament per Hipertensió Arterial (HTA) en col·lectius d'alta vulnerabilitat amb problemes d’accés al sistema sanitariCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Impactes de la reutilització d’equips informàtics per reduir l’escletxa digital: la experiència de dos centres a La Plata i Rosario (Argentina)Centre de Cooperació per al Desenvolupament de la UPC
01/05/202230/04/2025Catalonia Digital Innovation Hub (DIH4CAT)DIRECTORATE-GENERAL FOR COMMUNIC.
07/04/202231/10/2023Cognitive Fractal and Secure Edge Based On Unique Open-Safe-Reliable-Low Power Hardware Platform NodeGOBIERNO DE ESPAÑA. MINISTERIO DE ECONOMÍA Y COMPETITIVIDAD, MINECO; European Union Horizon 2020
14/03/202231/07/2022Contrato de colaboración para organizar, preparar y dar soporte a la celebración de pruebas de interoperabilidad remotas para validación de firmas electrónicas AdES y contenedores ASiCETSI
15/02/202201/02/2024Contracte de col·laboració per la implementació i avaluació “EU Blockchain pre-commercial procurement (CNECT/2020/OP/0055)”IOTA Stiftung
25/01/202206/06/2022Ciberseguretat: Desplegament, optimització i securització plataforma monitoritzacióAPOLO ANALYTICS SL
01/01/202231/12/2024Towards a smart and efficient telecom infrastructure meeting current and future industry needsMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Atracción de talento y educación en tecnologías y servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2025Hpc EuRopean ConsortiUm Leading Education activitieSEUROPEAN COMMISSION
01/01/202231/12/2022Urban Air Traffic Management DEVelOpment & DEMOnstrationEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202201/09/2022Contrato de colaboración para el asesoramiento y análisis en la economía digital de dispositivos TIC.A.PANGEA COORD.COMUNICACIÓ COOP.
01/01/202231/12/2024Parallel Programming and Acceleration with Heterogeneous Architectures (PPHA)Agència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
15/12/202116/05/2022Ampliació del contracte de col·laboració per serveis de ciberseguretatHOLALUZ-CLIDOM SA
01/12/202130/11/2024Genius. Impulso a la transición energética de industrias intensivas en consumo a través de herramientasAGENCIA ESTATAL DE INVESTIGACION
01/11/202131/10/2024Beyond 5G – OPtical nEtwork coNtinuumEUROPEAN COMMISSION
01/11/202130/10/2023Life in the AI EraCommission of European Communities
29/10/202129/10/2021Programa que comprova la conformitat de signatures digitals contra la norma JAdES ETSI TS 119182: "Electronic Signatures and Infrastructures (ESI); JAdES digital signatures; Part 1: Building blocks and JAdES baseline signatures"
25/10/202130/06/2022Servei de mentoria científica dins de l'Advisory Board del repte TDA (Tecnologies Digitals Avançades) en CiberseguretatFUNDACIÓ i2CAT
01/10/202129/04/2022NGIatlantic.eu 03_275EUROPEAN COMMISSION
01/10/202130/03/2022NGIatlantic.eu application 03-277EUROPEAN COMMISSION
01/09/202131/08/2024AI-powered Intent-Based packet and Optical transport Networks and edge and cloud computing for beyond 5GAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Mecanismos para la gestión segura y eficiente de información genómica adaptada a laboratorios clínicos: Aspectos de seguridadAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Investigación en futuras redes totalmente optimizadas mediante inteligencia artificial - AAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2025Arquitecturas de Dominio Específico para Sistemas de Computación Energéticamente EficientesAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2022Improve the technical maturity of FlowNN and build influence of FlowNN in the industryHUAWEI TECHNOLOGIES Co
01/09/202131/08/2024Supervisión de flota de drones y optimización de los planes de vuelo de operaciones comercialesAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024artificial Intelligence threat Reporting and Incident response SystemEuropean Commission
01/07/202131/01/2022Diseño e implementación de herramienta de comprobación de conformidad de firmas digitales JAdES Definición de casos de test para evento de pruebas remotas de interoperabilidad de firmas JAdES SoporteETSI
30/06/202131/12/2021Increasing the endurance of large STT-RAM Last-Level caches by using compression and a precise aging modelHiPEAC (NoE - Unión Europea)
25/06/202124/03/2022Trusted and reliable content on future blockchainsEUROPEAN COMMISSION
14/05/202113/11/2022Drones against COVID-19 Propagation by Controlling Capacity in Public SpacesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
29/04/202129/04/2021Acceso a datos almacenados en un sistema de base de datos
20/04/202120/04/2021Dynamic anomaly forecasting from execution logs
13/04/202131/12/2021COLLIDER - MOCCA TECHNOLOGIESFUNDACIO BARCELONA MOBILE WORLD CAP
01/04/202131/03/2022Graph-Driven Acceleration of Graph Neural NetworksNEC Laboratories Europe
01/04/202131/03/2022Evolución y mantenimiento correctivo de herramienta de comprobación de conformidad de Trusted Lists de los estados miembros de la Unión Europea.ETSI
01/04/202131/03/2024Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascaleEuropean Commission
01/04/202131/03/2022WalCycData: A data infrastructure for vulnerable road usersEUROPEAN INST OF INNOV.& TECHNOL.
01/04/202131/03/2024DEEP Software for Exascale ArchitecturesEuropean Commision
31/03/202131/03/2021Distributed indexes
10/02/202131/03/2022Preparación y soporte a la conducción de unas pruebas de interoperabilidad remota sobre el estándar ETSI EN 319 532 sobre correo electrónico certificadoETSI
01/02/202131/07/2021Decentralized data ecosystem for the Open Blockchain for Asset Disposition Alliance. Provision of a Ledger testbed as a permissioned Ethereum ledger that record events or transactions, and run smart cEUROPEAN COMMISSION
01/01/202130/04/2023CONCEPT OF OPERATIONS FOR EUROPEAN U-SPACE SERVICES - EXTENSION FOR URBAN AIR MOBILITYSESAR JOINT UNDERTAKING
01/01/202131/12/2024MENTOR presents a timely proposal to train 6 ESRs in the interdisciplinary field of high industrial importance: ML applications in multi-band optical communications.EUROPEAN COMMISSION
01/01/202131/12/2021EIT-UM-2020-21065EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202131/12/2023CALLISTO: "Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures".European Commission
01/01/202127/05/2022Projecte FREEDACentre de Cooperació per al Desenvolupament de la UPC
01/01/202127/05/2022Sensibilització i formació en països de baix IDH via TICCentre de Cooperació per al Desenvolupament de la UPC
01/12/202031/10/2021CiutadanIA: Intel·ligència Artificial per a tothomGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
01/11/202030/10/2022Redes inalámbricas integradas en sistemas de computación avanzadosAGENCIA ESTATAL DE INVESTIGACION
01/11/202031/12/2022H2020-894116-SYN+AIRSESAR JOINT UNDERTAKING
26/10/202026/10/2020Fog computing system and methods
01/10/202030/09/2024Ciberseguridad Industria 4.0AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/10/202030/09/2021IGNNITION: Fast prototyping of complex Graph Neural Networks for network optimizationCommission of European Communities
01/10/202001/10/2020Method and system for determining the amount of oxyden required by a user with respiratory problems
01/10/202031/03/2024INCISIVE: "A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer"European Commission
01/09/202031/08/2023A coordinated framework for cyber resilient supply chain systems over complex ICT infrastructuresCommission of European Communities
01/07/202031/12/2020Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in CitiesEUROPEAN INST OF INNOV.& TECHNOL.
01/07/202001/02/2021DLT4EU - Circular Economy Open CallEuropean Union Horizon 2020
02/06/202002/06/2020Sistema y método para el rastreo de objetos en movimiento en vehículos
01/06/202031/05/2025UPC-Computación de Altas Prestaciones VIIIAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2023Sistemas informáticos y de red descentralizados con recursos distribuidosAGENCIA ESTATAL DE INVESTIGACION
01/06/202029/02/2024Arquitectura y programación de computadores escalables de alto rendimiento y bajo consumo. Jerarquía de memoria, gestión de tareas, y optimización de aplicacionesAgencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades
01/05/202031/10/2022A Unified Integrated Remain Well Clear Concept in Airspace D-G Class- URCLeaEDSESAR JOINT UNDERTAKING
22/04/202022/07/2020Cap infant sense accés a l'escola des de casaCentre de Cooperació per al Desenvolupament , UPC
13/04/202013/04/2020Merging level cache and data cache units having indicator bits related to speculative execution
01/04/202031/03/2023PROCESAMIENTO DE FLUJO DISTRIBUIDO EN SISTEMAS DE NIEBLA Y BORDE MEDIANTE COMPUTACIÓN TRANSPRECISAAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/03/2023Marco de asignación de recursos holístico y fundacional para servicios edge computing optimizados y con alto impactoAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/03/2022Lenovo-BSC Collaboration Agreement: SoW no. 2: ScanflowLenovo Spain SL
01/03/202028/02/2021HahatayCentre de Cooperació per al Desenvolupament , UPC
01/03/202028/02/2021Dedicated communication for water management and monitoring in the high Andean area of Peru (Phase 2)Centre de Cooperació per al Desenvolupament , UPC
06/01/202006/01/2020Disabling cache portions during low voltage operations - third continuation
01/01/202030/06/2020EU-US collaboration on NGI - NGI Explorers ProgramCommission of European Communities
01/01/202031/12/2020Research and Development Project with HuaweiHUAWEI TECHNOLOGIES Co
01/01/202031/12/2020Living lab e-micromobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2020InnovaCity 2.0EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2021Construcció, gestió,manteniment DRONELABAJUNTAMENT CASTELLDEFELS
01/01/202030/09/2023Monitorización IoT de la calidad del aireAGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2022gaZ: Grupo de Arquitectura de Computadores de la UZ. Reconocimiento y Financiación de Grupo de Investigación de Referencia en el ámbito de la Comunidad Autónoma de Aragón, área de Tecnología.Gobierno de Aragón. Consejería de Ciencia, Tecnología y Universidad
01/01/202031/01/2021Certificar la custodia amb BlockchainAgència de Residus de Catalunya
01/01/202031/12/2022MareNostrum Exascale Emulation PlatformEuropean Commission
01/01/202031/12/2022FemIoT: "Agrupament de Tecnologies Emergents IoT"FEDER Unión Europea; Generalitat de Catalunya, DGR
13/11/201931/12/2020FOOXY - COLLIDER 2019FUNDACIO BARCELONA MOBILE WORLD CAP
01/11/201930/04/2020Fast virtual SoC for advanced GPS algorithm evaluationGENT UNIVERSITEIT
01/11/201931/10/2022University Network for Innovation, Technology and EngineeringEuropean Commission
30/10/201931/10/2020Preparar y dar soporte a las pruebas remotas de interoperabilidad basados en diferentes estándares de ETSI. Mantener herramientas de comprobación de conformidad de formatos de firmas digitales respectETSI
08/10/201907/10/2022Investigación, formación y prospectiva en sistemas RISC-VMINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
01/10/201930/09/2023Architecting More Than Moore – Wireless Plasticity for Heterogeneous Massive Computer ArchitecturesCommission of European Communities
01/09/201931/08/2025CoCoUnit: An Energy-Efficient Processing Unit for Cognitive ComputingCommission of European Communities
01/09/201930/04/2022Pyrenees Imaging eXperience: an InternationaL networkPrograma INTERREG V A – España-Francia-Andorra (POCTEFA) 2014-2020
01/08/201931/07/2022Research on an architecture/solution for BGP security and the overall problem of and Inter-Domain Routing securityHUAWEI TECHNOLOGIES Co
04/07/201903/07/2020decentraLizEd Data Governance for nExt geneRation internetCommission of European Communities
01/07/201930/11/2021Proyecto POLDER (convocatoria 2019 de EUREKA-ITEA3)STARFLOW, S.L.
01/06/201931/05/2022TRaceo y ACompañamiento en el viaje con medios ITAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Inteligencia Artificial aplicada a Grafos para Redes Biológicas y de ComunicacionesAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Prestación de servicios de confianza en nubes periféricos descentralizadas para múltiples entornosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Economía participativa para una plataforma computacional comunitaria descentralizadaAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Resiliencia Unificada para Sistemas InformáticosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/12/2022001-P-001723_Disseny d'acceleradors basats en la tecnologia RISC per a la propera generació de computadors (DRAC)GENCAT - DEPT. D'EMPRESA I OCUPACIO
01/06/201931/01/2022H2020-825268-LEDGER - Pangea - decentraLizEd Data Governance for nExt geneRation internetEuropean Union Horizon 2020
01/06/201931/05/2023Designing RISC-V-based Accelerators for next generation ComputersFondo Europeo de Desarrollo Regional
24/04/201923/04/2022EUROCONTROL -PHDEUROCONTROL
01/03/201928/02/2020Projecte OrigenCentre Cooperació per al Desenvolupament
01/03/201928/02/2020Comunicación dedicada para la gestión y monitoreo del agua en zona altoandina de Perú (Fase 1)Centre Cooperació per al Desenvolupament
01/03/201928/02/2020Desplegament i test d’una plataforma de monitorització en interiors d’habitatges per donar suport a l’acompanyament de la gent granCentre Cooperació per al Desenvolupament
20/02/201920/02/2020Networking Query Language for Mapping Services in Overlay NetworksSILICON VALLEY COMMUNITY FOUNDATION
12/01/201928/02/2023871174 - HiPEAC 6 - European Network of Excelence on High Performance and Embedded Architecture and CompilationEuropean Horizon 2020. Funding scheme: CSA - Coordination & Support Action. Topic: ICT-04-2015
01/01/201930/06/2023REAL-time monitoring and mitigation of nonlinearCommission of European Communities
01/01/201930/09/2022Gestión de una arquitectura jerárquica Fog-to-cloud para escenarios IoT: Compartición de recursosAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2022Integración de los objetivos para el desarrollo sostenible en la formación en sostenibilidad de las titulaciones universitarias españolasAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2020Supporting and maintaining the Trusted List Conformance Checker. This includes: fixing identified bugs; updating the tol to match requirements of updated revisions of ETSI TS 119 612; and add the capaETSI
01/01/201930/06/2022Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201931/12/2020Mejora de la infraestructura científico-técnica del Departamento de Arquitectura de Computadores de la UPCAgencia Estatal de Investigación
01/01/201931/12/2021"Heterogeneous Cloud Computing Systems; Cognitive Cloud Ecosystem"IBM Thomas J. Watson Research Center
01/01/201931/12/2021Benchmarking on Big Data AnalyticsDatabricks
27/06/201328/01/2026Contracte de transferència de tecnologia Talaia Networks, S.L.Talaia Networks, S.L.

Teaching staff and research groups

Teachers

Doctoral Programme teachers

Other teachers linked to the Doctoral Programme

External teachers


Abella Ferrer, Jaume - BSC
Amat Bertran, Esteve - Centro Nacional de Microelectrónica (CNM)
Araya Polo, Mauricio - Empresas EEUU
Arcas Abella, Oriol - BSC
Azkárate-Askasua Blazquez, Mikel - ELECTRONICA- IK4-IKERLAN
Bautista Gómez, Leonardo Arturo - BSC
Beivide Palacio, Julio Ramón -Universidad de Cantabria
Bellens, Pieter - BSC
Beltran Querol, Vicenç - BSC
Bifet, Albert Télécom ParisTech - França
Brinkmann, André Universität Mainz - GERMANY
Blackburn, Jeremy - Telefónica Research
Borrell Pol, Ricard - BSC
Cai, Qiong - Intel Barcelona
Carpenter, Paul Matthew - BSC
Carrera Pérez, David – BSC
Casas Guix, Marc - BSC
Cebrián González, Juan Manuel - BSC
Cerquides Bueno, Jesús - CSIC
Cucchietti Tabanik, Fernando Martín -BSC
De la Puente Álvarez, Josep - BSC
Dominguez Sal, David - Sparsity Technologies, S.L.
Duran Gonzalez, Alejandro - Intel
Eeckhout, Lieven Universitat de Ghent - Bèlgica
Ejarque Artigas, Jorge - BSC
Faundez Zanuy, Marcos ESUP Tecnocampus - UPF
Fossati, Luca EUROPEAN SPACE AGENCY - Holanda
Gibert Codina, Enric - Pharmacelera, S.L.
Gracia Calvo, Juan José - University of Stuttgart
Guerrero Ibáñez, Juan Antonio - Universidad de Colima, Mexico
Guim Bernat, Francesc - Intel Corporation
Hanzich Estevez, Mauricio - BSC
Hernández Luz, Carles UPC-DAC
Houzeaux, Guillaume - BSC
Hwu, Wen-Mei University of Illinois at Urbana-Champaign - EEUU
Jokanovic, Ana - BSC
Khayyambashi, MOohammad Reza -University of Isfahan
Kestor, Gokcen - Pacific Northwest National Laboratory - EEUU
Laoutaris, Nikolaos - Telefónica Investigación y Desarrollo
Leontiadis, Ilias - Telefónica I+D
Maino, Fabio - Cisco Systems - EEUU
Mangues Bafalluy, Josep - CTTC Centro Tecnológico de Telecomunicacions de Catalunya
Mantovani, Filippo - BSC
Marcuello Pascual, Pedro - United Barcode Systems
Marqués Puig, Joan Manel - UOC
Martínez Morais, Raúl - Oracle Labs
Martínez Vicente, Alejandro ---
Melo Silveira, Regina - Universidade do Sao Paulo
Molina Clemente, Carlos Ma. - Universitat Rovira i Virgili
Mosse, Daniel - University of Pittsburgh
Muntés Mulero, Víctor - CA TECHNOLOGIES
Napoli, Antonio - Politecnico di Torino
Nemirovsky, Mario Daniel - BSC
Nicolás Ramírez, Carlos Fernando - Ikerlan
Nou Castell, Ramón - BSC
Nuñez Martínez, José - CTTC
Nuñez Vivanco, Gabriel - Universidad de Talca (Chile)
Palomar Pérez, Oscar - University of Manchester – Regne Unit
Peña Monferrer, Antonio J. UPC-DAC
Pereyra, Víctor Stanford University - EEUU
Pérez Hernández, Maria Santos - Universidad de Navarrra
Pericàs Gleim, Miquel - Chalmers Teknisk Högskola
Polo Bardés, Jordà - BSC
Queralt Calafat, Anna - BSC
Quiñones, Moreno, Eduard - BSC
Quiong, Cai - Intel Barcelona
Radojkovic, Petar - BSC
Ramirez Bellido, Alejandro - NVIDIA Corporation - EEUU
Ramírez Salinas, Marco Antonio - CIC - México
Ricciardi, Sergio - EAE Bussiness School
Rico Carro, Alejandro - BSC
Rodríguez Herrera, German - IBM Research GmbH - Suïssa
Rudomin Goldberg, Isaac Juan - BSC
Sancho Pitarch, José Carlos - BSC
Sathiaseelan, Arjuna - University of Cambridge - UK
Serra Mochales, Isabel - CRM-UAB / BSC
Spadaro, Salvatore UPC-TSC
Stavrou, Kyriacos - (abans Intel)
Soba Pascual, Alejandro - CONICET - Argentina
Sonmez, Nehir - BSC
Unsal, Osman Sabri - BSC
Veà Baró, Andreu - Centre Tecnoloxico de Supercomputación de Galicia (CESGA)
Vera Rivera, Xavier - INTEL
Yannuzzi, Marcelo - Grupo de Tecnología Corporativa de Cisco Systems International - Suïssa

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
03/04/202409/05/2024Collinder Venture Builder Programme: PETGEMFUNDACIÓ BARCELONA MOBILE WORLD CAPITAL FOUNDATION
01/03/202430/04/2024Recepció i integració del posicionament dels DRONS al DOTSITHINKUPC, S.L.
01/02/202431/01/2028HORIZON-101119983-NESTOR (MSCA)EUROPEAN COMMISSION
01/02/202430/06/2025Colaboración AKO-UPC, PERTE DICAROSAKO ELECTROMECÀNICA S.A.
29/01/202428/01/2026Under the skin of the city: Urban simulations for nature-based solutionsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
15/01/202428/11/2025Especificación de requisitos de standarización, políticas de seguridad, uso de carteras de Identidad Digital de la UE firmas y sellos electrónicos avanzados.ETSI
08/01/202407/01/2025Contracte de col·laboració per/'Capacitació per avaluar i prototipar tecnologia de grafs de coneixement, per implementar-la en projectes i eines de programari./'ENGINYERIA DE L'EDIFICACIO I PROJ M
01/01/202431/12/2026Automated end-to-end data life cycle management for FAIR data integration, processing and re-useCommission of European Communities
01/01/202431/12/2026Trustworthy Efficient AI for Cloud-Edge ComputingCommission of European Communities
01/01/202431/12/2027federated data and intelligence Orchestration & sharing for the Digital Energy transitiONCommission of European Communities
01/01/202430/06/2027AI-Ops Framework for Automated, Intelligent and Reliable Data/AI Pipelines Lifecycle with Humans-inthe-Loop and Coupling of Hybrid Science-Guided and AI ModelsCommission of European Communities
01/01/202431/12/2025Redes de malla LoRa para IoTAGENCIA ESTATAL DE INVESTIGACION
31/12/202330/12/2026Graph Neural Networks for Robust AI/ML-driven Network Security ApplicationsAGENCIA ESTATAL DE INVESTIGACION
21/12/202320/12/2024Desenvolupament d'una aplicació mòbil per a l'adquisició de dades de contaminació acústica, extracció de patrons de comportament mitjançant analítica de dades i eines suportades per l'AI i algorismesARTIS GABARRO PERE
01/11/202331/10/2026HORIZON-101119602-COBALTEUROPEAN COMMISSION
01/10/202330/09/2027Elastic Energy Distributed OrchestrationINTEL CORPORATION
01/10/202331/12/2024Assessorament tècnic en el desenvolupament de projectes d'epidemiològica clínica i translacional d'oncologia, així com l'estudi dels factors de risc de càncer i la medicina de precisió utilitzant tècnFUNDACIO CLINIC PER A LA RECERCA BI
12/09/202330/06/2026Chips para arquitecturas avanzadas y sistemas fotónicosMIN DE ECONOMIA Y COMPETITIVIDAD
01/09/202331/08/2026Técnicas basadas en datos para mejorar la calidad de la información en redes de nodos IoTAGENCIA ESTATAL DE INVESTIGACION
01/09/202331/08/2026Cybersecurity for the FutureCommission of European Communities
01/09/202301/09/2026Arquitectura y programación de computadores escalables de alto rendimiento y bajo consumo III - UZAgencia Estatal de Investigación; Ministerio de Ciencia e Innovación
10/07/202309/04/2024IDENTITY IN AN ETHICAL INTERNET COMMUNITY (ORCHESTRAL)Commission of European Communities
06/07/202305/04/2024IOTLORAMESH (IoT LoRa mesh network for far edge device integration). Open Call open call del projecte europeu ASSIST-IoTEUROPEAN COMMISSION
01/07/202328/02/2024Organización, participación y soporte a participantes de pruebas de interoperabilidad sobre formas LTA de firmas AdES y contenedores ASiC estandarizados por ETSI ESI.ETSI
12/06/202315/06/2023Huawei Suecia se ha comprometido en hacer una donación de 5000 euros a los organizadores de la conferencia IFIP/IEEE Networking 2023, que se celebrará en la UPC (Edifici Vertex) entre los dias 12-15 dHUAWEI TECHNOLOGIES SWEDEN AB
01/06/202331/05/2027SCALABLE MULTI-CHIP QUANTUM ARCHITECTURES ENABLED BY CRYOGENIC WIRELESS / QUANTUM -COHERENT NETWORK-IN PACKAGEEuropean Innovation Council and
01/06/202331/05/2026Implemented SynergIes, data sharing contracts and Goals between transport modes and AIR tansportationSESAR JOINT UNDERTAKING
01/06/202330/11/2025Measuring U-Space Social and Environmental Impact (MUSE)SESAR JOINT UNDERTAKING
01/06/202331/07/2023We request a $32,515 grant to research, design and prototype an architecture that identifies the network requirements of cloud applications by analyzing the service mesh graph, and instruments a SD-WASILICON VALLEY COMMUNITY FOUNDATION
01/06/202331/05/2024Amandla Community ProjectsCentre de Cooperació per al Desenvolupament de la UPC
01/06/202331/05/2024Manteniment i extensió d'una xarxa comunitària a la regió de Gandiol, SenegalCentre de Cooperació per al Desenvolupament de la UPC
01/06/202331/05/2024Cribratge i seguiment del tractament per Hipertensió Arterial (HTA) en col·lectius d'alta vulnerabilitat amb problemes d’accés al sistema sanitari. Validació de les eines i metodologies.Centre de Cooperació per al Desenvolupament de la UPC
01/05/202331/08/2024Continual Explainable Drift Detection and Adaptation for Autonomous Driving DataLenovo Data Center Group
01/05/202330/04/2026High Performance, Safe, Secure, Open-Source Leveraged RISC-V Domain-Specific EcosystemsUnión Europea
17/04/202316/04/2024IoT twinning for digital product passportsCommission of European Communities
01/04/202329/03/2024Mantenimiento correctivo y evolutivo de la herramienta de comprobación de conformidad de las listas de prestatarios de servicios de certificación de los paises miembros de la Unión Europea, contra laETSI
16/01/202315/04/2024Revisión de estándares de entrega electrónica de datos certificada y correo electrónico de datos. Estudio de nuevas tecnologías aplicables a dichos ámbitos. Redefinición del conjunto de estándares enETSI
01/01/202331/12/2025SElf-mAnaged Sustainable high-capacity Optical NetworksCommission of European Communities
01/01/202330/06/2025PRogrammable AI-Enabled DeterminIstiC neTworking for 6GCommission of European Communities
01/01/202331/12/2025Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud ServicesCommission of European Communities
01/01/202331/12/2025Deep Programmability and Secure Distributed Intelligence for Real-Time End-to-End 6G NetworksCommission of European Communities
01/01/202331/12/2025Advanced Security-for-safety Assurance for Medical Device IoTEUROPEAN COMMISSION
01/01/202330/06/2026Agile uLtra Low EnerGy secuRe netwOrksEUROPEAN COMMISSION
01/01/202331/12/2025Community-Based Smart City Digital Twin Platform for Optimised DRM operations and Enhanced Community Disaster ResilienceCommission of European Communities
01/01/202331/12/2027A University Partnership for Acceleration of European UniversitiesCommission of European Communities
01/01/202331/12/2025Holistic, Omnipresent, Resilient Services for future 6G Wireless and Computing EcosystemsCommission of European Communities
01/01/202331/12/2025CLOUDSKIN: "Adaptive virtualization for AI-enabled Cloud-edge Continuum"European Comission
01/01/202331/12/2025VITAMIN-V: "Virtual Environment and Tool-boxing for Trustworthy Development of RISC-V based Cloud Services".European Commission
01/01/202331/12/2025SECURED: "Scaling Up secure Processing, Anonymization and generation of Health Data"European Commission
01/01/202331/12/2025NEARDATA: "Extreme Near-Data Processing Platform"European Comission
01/01/202331/12/2026CLOUDSTARS: "Cloud Open Source Research Mobility Network"European Commission
01/01/202331/12/2025gaZ: grupo de Arquitectura de Computadores de la Universidad de ZaragozaGobierno de Aragón. Consejería de Ciencia, Tecnología y Universidad
01/01/202331/12/2024Procesador Fuera de Orden Multinúcleo consciente de la aplicación basado en instrucciones abiertas RISC-VGobierno de España. Ministerio de Ciencia y Tecnología. Dirección General de Programas y de Transferencia de Conocimiento (Dgptc)
09/12/202230/06/2025QUANTUM COGNITIVE DIGITAL INDUSTRYREPSOL YPF, S.A.
01/12/202230/11/2024Multiscale electromagnetic Imaging of La Palma Island Geothermal SystemMinisterio de Ciencia e Innovación
01/11/202231/10/2025U-space European COMmon dEpLoymentCommission of European Communities
01/11/202231/03/2023Contrato de colaboración para la evolución y mantenimiento correctivo y evolutivo de herramientas de comprobación de conformidad de Trusted Lists de los Estados Miembro de la Unión Europea.ETSI
01/11/202228/02/2023Supercomputación para datos termocronológicos en sistemas petrolíferos: el caso de Colombia y su impacto en la transición energéticaBarcelona Supercomputing Center-Centro Nacional de Supercomputación
19/10/202218/07/2024Evolution of the technological readiness of two components (AINA and A-6MWT) part of the entire FOOXY suite for chronic respiratory patients.AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
18/10/202218/10/2022Distributed indexes.
27/09/202207/10/2022Contracte de col·laboració per el patrocini congrés AkademyKDE e.V.
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6GOpenLab)MINISTERIO DE ASUNTOS ECONÓMICOS Y TRANSFORMACIÓN DIGITAL
06/09/202206/09/2022Method of managing task dependencies at runtime in a parallel computing system of a hardware processing system and a hardware acceleration processor
06/09/202230/06/2025Laboratorio Abierto Científico-Tecnológico de Investigación en 6G de la UPC (6G-OpenLab)MIN DE ECONOMIA Y COMPETITIVIDAD
01/09/202231/08/2025Towards a functional continuum operating systemCommission of European Communities
01/09/202231/08/2025Gestión inteligente del cloud continuum: Desarrollo de las funcionalidades clave de un SO (AGENCIA ESTATAL DE INVESTIGACION
01/09/202231/08/2025DALEST: "Distributed Analytics and Learning in Edge-to-Supercomputing Technologies"Gobierno de España. Ministerio de Ciencia y Tecnología. Dirección General de Programas y de Transferencia de Conocimiento (Dgptc)
01/09/202231/08/2025CROMAI: "Computational Resources Orchestration and Management for AI"AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
29/08/202229/08/2022Dispositivo para la realización de una prueba de marcha
01/07/202230/06/2025A EUROPEAN CYBER RESILIENCE FRAMEWORK WITH ARTIFICIAL INTELLIGENCE -ASSISTED ORCHESTRATION & AUTOMATION FOR BUSINESS CONTINUITY, INCIDENT RESPONSE & INFORMATION EXCHANGECommission of European Communities
01/07/202230/06/2025Securing tailings dam infrastructure with an innovative monitoring SystemEUROPEAN INST OF INNOV.& TECHNOL.
02/06/202202/06/2022Method for optimizing the management of a flow of data
01/06/202231/05/2023Projecte Building Hope: instal·lació d’aules informàtiques, wifi a escola i connexió a la comunitatCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Instal·lació de portàtils al centre de desenvolupament comunitari de CasamanceCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Cribratge i seguiment del tractament per Hipertensió Arterial (HTA) en col·lectius d'alta vulnerabilitat amb problemes d’accés al sistema sanitariCentre de Cooperació per al Desenvolupament de la UPC
01/06/202231/05/2023Impactes de la reutilització d’equips informàtics per reduir l’escletxa digital: la experiència de dos centres a La Plata i Rosario (Argentina)Centre de Cooperació per al Desenvolupament de la UPC
01/05/202230/04/2025Catalonia Digital Innovation Hub (DIH4CAT)DIRECTORATE-GENERAL FOR COMMUNIC.
07/04/202231/10/2023Cognitive Fractal and Secure Edge Based On Unique Open-Safe-Reliable-Low Power Hardware Platform NodeGOBIERNO DE ESPAÑA. MINISTERIO DE ECONOMÍA Y COMPETITIVIDAD, MINECO; European Union Horizon 2020
14/03/202231/07/2022Contrato de colaboración para organizar, preparar y dar soporte a la celebración de pruebas de interoperabilidad remotas para validación de firmas electrónicas AdES y contenedores ASiCETSI
15/02/202201/02/2024Contracte de col·laboració per la implementació i avaluació “EU Blockchain pre-commercial procurement (CNECT/2020/OP/0055)”IOTA Stiftung
25/01/202206/06/2022Ciberseguretat: Desplegament, optimització i securització plataforma monitoritzacióAPOLO ANALYTICS SL
01/01/202231/12/2024Towards a smart and efficient telecom infrastructure meeting current and future industry needsMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2024Atracción de talento y educación en tecnologías y servicios avanzados 5G/6GMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/202231/12/2025Hpc EuRopean ConsortiUm Leading Education activitieSEUROPEAN COMMISSION
01/01/202231/12/2022Urban Air Traffic Management DEVelOpment & DEMOnstrationEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202201/09/2022Contrato de colaboración para el asesoramiento y análisis en la economía digital de dispositivos TIC.A.PANGEA COORD.COMUNICACIÓ COOP.
01/01/202231/12/2024Parallel Programming and Acceleration with Heterogeneous Architectures (PPHA)Agència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
15/12/202116/05/2022Ampliació del contracte de col·laboració per serveis de ciberseguretatHOLALUZ-CLIDOM SA
01/12/202130/11/2024Genius. Impulso a la transición energética de industrias intensivas en consumo a través de herramientasAGENCIA ESTATAL DE INVESTIGACION
01/11/202131/10/2024Beyond 5G – OPtical nEtwork coNtinuumEUROPEAN COMMISSION
01/11/202130/10/2023Life in the AI EraCommission of European Communities
29/10/202129/10/2021Programa que comprova la conformitat de signatures digitals contra la norma JAdES ETSI TS 119182: "Electronic Signatures and Infrastructures (ESI); JAdES digital signatures; Part 1: Building blocks and JAdES baseline signatures"
25/10/202130/06/2022Servei de mentoria científica dins de l'Advisory Board del repte TDA (Tecnologies Digitals Avançades) en CiberseguretatFUNDACIÓ i2CAT
01/10/202129/04/2022NGIatlantic.eu 03_275EUROPEAN COMMISSION
01/10/202130/03/2022NGIatlantic.eu application 03-277EUROPEAN COMMISSION
01/09/202131/08/2024AI-powered Intent-Based packet and Optical transport Networks and edge and cloud computing for beyond 5GAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Mecanismos para la gestión segura y eficiente de información genómica adaptada a laboratorios clínicos: Aspectos de seguridadAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024Investigación en futuras redes totalmente optimizadas mediante inteligencia artificial - AAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2025Arquitecturas de Dominio Específico para Sistemas de Computación Energéticamente EficientesAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2022Improve the technical maturity of FlowNN and build influence of FlowNN in the industryHUAWEI TECHNOLOGIES Co
01/09/202131/08/2024Supervisión de flota de drones y optimización de los planes de vuelo de operaciones comercialesAGENCIA ESTATAL DE INVESTIGACION
01/09/202131/08/2024artificial Intelligence threat Reporting and Incident response SystemEuropean Commission
01/07/202131/01/2022Diseño e implementación de herramienta de comprobación de conformidad de firmas digitales JAdES Definición de casos de test para evento de pruebas remotas de interoperabilidad de firmas JAdES SoporteETSI
30/06/202131/12/2021Increasing the endurance of large STT-RAM Last-Level caches by using compression and a precise aging modelHiPEAC (NoE - Unión Europea)
25/06/202124/03/2022Trusted and reliable content on future blockchainsEUROPEAN COMMISSION
14/05/202113/11/2022Drones against COVID-19 Propagation by Controlling Capacity in Public SpacesAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
29/04/202129/04/2021Acceso a datos almacenados en un sistema de base de datos
20/04/202120/04/2021Dynamic anomaly forecasting from execution logs
13/04/202131/12/2021COLLIDER - MOCCA TECHNOLOGIESFUNDACIO BARCELONA MOBILE WORLD CAP
01/04/202131/03/2022Graph-Driven Acceleration of Graph Neural NetworksNEC Laboratories Europe
01/04/202131/03/2022Evolución y mantenimiento correctivo de herramienta de comprobación de conformidad de Trusted Lists de los estados miembros de la Unión Europea.ETSI
01/04/202131/03/2024Towards EXtreme scale Technologies and Accelerators for euROhpc hw/Sw Supercomputing Applications for exascaleEuropean Commission
01/04/202131/03/2022WalCycData: A data infrastructure for vulnerable road usersEUROPEAN INST OF INNOV.& TECHNOL.
01/04/202131/03/2024DEEP Software for Exascale ArchitecturesEuropean Commision
31/03/202131/03/2021Distributed indexes
10/02/202131/03/2022Preparación y soporte a la conducción de unas pruebas de interoperabilidad remota sobre el estándar ETSI EN 319 532 sobre correo electrónico certificadoETSI
01/02/202131/07/2021Decentralized data ecosystem for the Open Blockchain for Asset Disposition Alliance. Provision of a Ledger testbed as a permissioned Ethereum ledger that record events or transactions, and run smart cEUROPEAN COMMISSION
01/01/202130/04/2023CONCEPT OF OPERATIONS FOR EUROPEAN U-SPACE SERVICES - EXTENSION FOR URBAN AIR MOBILITYSESAR JOINT UNDERTAKING
01/01/202131/12/2024MENTOR presents a timely proposal to train 6 ESRs in the interdisciplinary field of high industrial importance: ML applications in multi-band optical communications.EUROPEAN COMMISSION
01/01/202131/12/2021EIT-UM-2020-21065EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202131/12/2023CALLISTO: "Copernicus Artificial Intelligence Services and data fusion with other distributed data sources and processing at the edge to support DIAS and HPC infrastructures".European Commission
01/01/202127/05/2022Projecte FREEDACentre de Cooperació per al Desenvolupament de la UPC
01/01/202127/05/2022Sensibilització i formació en països de baix IDH via TICCentre de Cooperació per al Desenvolupament de la UPC
01/12/202031/10/2021CiutadanIA: Intel·ligència Artificial per a tothomGeneralitat de Catalunya. Departament de la Vicepresidencia i de Politiques Digitals i Territori
01/11/202030/10/2022Redes inalámbricas integradas en sistemas de computación avanzadosAGENCIA ESTATAL DE INVESTIGACION
01/11/202031/12/2022H2020-894116-SYN+AIRSESAR JOINT UNDERTAKING
26/10/202026/10/2020Fog computing system and methods
01/10/202030/09/2024Ciberseguridad Industria 4.0AGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/10/202030/09/2021IGNNITION: Fast prototyping of complex Graph Neural Networks for network optimizationCommission of European Communities
01/10/202001/10/2020Method and system for determining the amount of oxyden required by a user with respiratory problems
01/10/202031/03/2024INCISIVE: "A multimodal AI-based toolbox and an interoperable health imaging repository for the empowerment of imaging analysis related to the diagnosis, prediction and follow-up of cancer"European Commission
01/09/202031/08/2023A coordinated framework for cyber resilient supply chain systems over complex ICT infrastructuresCommission of European Communities
01/07/202031/12/2020Crowdsourced Obtention and Analytics of Data About the Crowding of Public Spaces for the Benefit of Public Transport and Mobility in CitiesEUROPEAN INST OF INNOV.& TECHNOL.
01/07/202001/02/2021DLT4EU - Circular Economy Open CallEuropean Union Horizon 2020
02/06/202002/06/2020Sistema y método para el rastreo de objetos en movimiento en vehículos
01/06/202031/05/2025UPC-Computación de Altas Prestaciones VIIIAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/12/2023Sistemas informáticos y de red descentralizados con recursos distribuidosAGENCIA ESTATAL DE INVESTIGACION
01/06/202029/02/2024Arquitectura y programación de computadores escalables de alto rendimiento y bajo consumo. Jerarquía de memoria, gestión de tareas, y optimización de aplicacionesAgencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades
01/05/202031/10/2022A Unified Integrated Remain Well Clear Concept in Airspace D-G Class- URCLeaEDSESAR JOINT UNDERTAKING
22/04/202022/07/2020Cap infant sense accés a l'escola des de casaCentre de Cooperació per al Desenvolupament , UPC
13/04/202013/04/2020Merging level cache and data cache units having indicator bits related to speculative execution
01/04/202031/03/2023PROCESAMIENTO DE FLUJO DISTRIBUIDO EN SISTEMAS DE NIEBLA Y BORDE MEDIANTE COMPUTACIÓN TRANSPRECISAAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/03/2023Marco de asignación de recursos holístico y fundacional para servicios edge computing optimizados y con alto impactoAGENCIA ESTATAL DE INVESTIGACION
01/04/202031/03/2022Lenovo-BSC Collaboration Agreement: SoW no. 2: ScanflowLenovo Spain SL
01/03/202028/02/2021HahatayCentre de Cooperació per al Desenvolupament , UPC
01/03/202028/02/2021Dedicated communication for water management and monitoring in the high Andean area of Peru (Phase 2)Centre de Cooperació per al Desenvolupament , UPC
06/01/202006/01/2020Disabling cache portions during low voltage operations - third continuation
01/01/202030/06/2020EU-US collaboration on NGI - NGI Explorers ProgramCommission of European Communities
01/01/202031/12/2020Research and Development Project with HuaweiHUAWEI TECHNOLOGIES Co
01/01/202031/12/2020Living lab e-micromobilityEUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2020InnovaCity 2.0EUROPEAN INST OF INNOV.& TECHNOL.
01/01/202031/12/2021Construcció, gestió,manteniment DRONELABAJUNTAMENT CASTELLDEFELS
01/01/202030/09/2023Monitorización IoT de la calidad del aireAGENCIA ESTATAL DE INVESTIGACION
01/01/202031/12/2022gaZ: Grupo de Arquitectura de Computadores de la UZ. Reconocimiento y Financiación de Grupo de Investigación de Referencia en el ámbito de la Comunidad Autónoma de Aragón, área de Tecnología.Gobierno de Aragón. Consejería de Ciencia, Tecnología y Universidad
01/01/202031/01/2021Certificar la custodia amb BlockchainAgència de Residus de Catalunya
01/01/202031/12/2022MareNostrum Exascale Emulation PlatformEuropean Commission
01/01/202031/12/2022FemIoT: "Agrupament de Tecnologies Emergents IoT"FEDER Unión Europea; Generalitat de Catalunya, DGR
13/11/201931/12/2020FOOXY - COLLIDER 2019FUNDACIO BARCELONA MOBILE WORLD CAP
01/11/201930/04/2020Fast virtual SoC for advanced GPS algorithm evaluationGENT UNIVERSITEIT
01/11/201931/10/2022University Network for Innovation, Technology and EngineeringEuropean Commission
30/10/201931/10/2020Preparar y dar soporte a las pruebas remotas de interoperabilidad basados en diferentes estándares de ETSI. Mantener herramientas de comprobación de conformidad de formatos de firmas digitales respectETSI
08/10/201907/10/2022Investigación, formación y prospectiva en sistemas RISC-VMINISTERIO DE CIENCIA, INNOVACIÓN Y UNIVERSIDADES
01/10/201930/09/2023Architecting More Than Moore – Wireless Plasticity for Heterogeneous Massive Computer ArchitecturesCommission of European Communities
01/09/201931/08/2025CoCoUnit: An Energy-Efficient Processing Unit for Cognitive ComputingCommission of European Communities
01/09/201930/04/2022Pyrenees Imaging eXperience: an InternationaL networkPrograma INTERREG V A – España-Francia-Andorra (POCTEFA) 2014-2020
01/08/201931/07/2022Research on an architecture/solution for BGP security and the overall problem of and Inter-Domain Routing securityHUAWEI TECHNOLOGIES Co
04/07/201903/07/2020decentraLizEd Data Governance for nExt geneRation internetCommission of European Communities
01/07/201930/11/2021Proyecto POLDER (convocatoria 2019 de EUREKA-ITEA3)STARFLOW, S.L.
01/06/201931/05/2022TRaceo y ACompañamiento en el viaje con medios ITAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Inteligencia Artificial aplicada a Grafos para Redes Biológicas y de ComunicacionesAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Prestación de servicios de confianza en nubes periféricos descentralizadas para múltiples entornosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Economía participativa para una plataforma computacional comunitaria descentralizadaAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022Resiliencia Unificada para Sistemas InformáticosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/12/2022001-P-001723_Disseny d'acceleradors basats en la tecnologia RISC per a la propera generació de computadors (DRAC)GENCAT - DEPT. D'EMPRESA I OCUPACIO
01/06/201931/01/2022H2020-825268-LEDGER - Pangea - decentraLizEd Data Governance for nExt geneRation internetEuropean Union Horizon 2020
01/06/201931/05/2023Designing RISC-V-based Accelerators for next generation ComputersFondo Europeo de Desarrollo Regional
24/04/201923/04/2022EUROCONTROL -PHDEUROCONTROL
01/03/201928/02/2020Projecte OrigenCentre Cooperació per al Desenvolupament
01/03/201928/02/2020Comunicación dedicada para la gestión y monitoreo del agua en zona altoandina de Perú (Fase 1)Centre Cooperació per al Desenvolupament
01/03/201928/02/2020Desplegament i test d’una plataforma de monitorització en interiors d’habitatges per donar suport a l’acompanyament de la gent granCentre Cooperació per al Desenvolupament
20/02/201920/02/2020Networking Query Language for Mapping Services in Overlay NetworksSILICON VALLEY COMMUNITY FOUNDATION
12/01/201928/02/2023871174 - HiPEAC 6 - European Network of Excelence on High Performance and Embedded Architecture and CompilationEuropean Horizon 2020. Funding scheme: CSA - Coordination & Support Action. Topic: ICT-04-2015
01/01/201930/06/2023REAL-time monitoring and mitigation of nonlinearCommission of European Communities
01/01/201930/09/2022Gestión de una arquitectura jerárquica Fog-to-cloud para escenarios IoT: Compartición de recursosAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2022Integración de los objetivos para el desarrollo sostenible en la formación en sostenibilidad de las titulaciones universitarias españolasAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2020Supporting and maintaining the Trusted List Conformance Checker. This includes: fixing identified bugs; updating the tol to match requirements of updated revisions of ETSI TS 119 612; and add the capaETSI
01/01/201930/06/2022Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
01/01/201931/12/2019EIT Urban Mobility Start-up phaseEIT Urban Mobility
01/01/201931/12/2020Mejora de la infraestructura científico-técnica del Departamento de Arquitectura de Computadores de la UPCAgencia Estatal de Investigación
01/01/201931/12/2021"Heterogeneous Cloud Computing Systems; Cognitive Cloud Ecosystem"IBM Thomas J. Watson Research Center
01/01/201931/12/2021Benchmarking on Big Data AnalyticsDatabricks
27/06/201328/01/2026Contracte de transferència de tecnologia Talaia Networks, S.L.Talaia Networks, S.L.

Quality

The Validation, Monitoring, Modification and Accreditation Framework (VSMA Framework) for official degrees ties the quality assurance processes (validation, monitoring, modification and accreditation) carried out over the lifetime of a course to two objectives—the goal of establishing coherent links between these processes, and that of achieving greater efficiency in their management—all with the overarching aim of improving programmes.

Validation

Monitoring

Accreditation

    Registry of Universities, Centers and Degrees (RUCT)

    Indicators