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Computer Architecture

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. 

Other Universities


COORDINATOR

Masip Bruin, Xavier

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

Programme website

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 three years, counted from the date of admission to the programme to the date of submission of the doctoral thesis. 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 five years, counting from the date of admission to the programme to the date of submission of the doctoral thesis. For calculating these periods, the date of admission is considered to be the date of the first enrolment for tutorials, and the date of submission the moment in which the Doctoral School officially deposits the doctoral thesis.

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 minimum period of study requirement.

The calculation of periods of study will not include periods of absence due to illness, pregnancy or any other reason provided for in the regulations in force. Students who find themselves in any of these circumstances must notify the academic committee of the doctoral programme, which, where appropriate, must inform the Doctoral School. Doctoral candidates may also temporarily withdraw from the programme for up to one year, and this period may be extended for an additional year. Doctoral candidates who wish to interrupt their studies must submit a justified request to the academic committee of the doctoral programme, which will decide whether or not to approve the request. Each programme will establish conditions for readmission to doctoral studies.

Extension
If full-time doctoral candidates have not applied to deposit their thesis by the end of the three-year period of study, the academic committee of the programme may authorise an extension of up to one year. In exceptional circumstances, a further one-year extension may be granted, subject to the conditions established by the corresponding doctoral programme. In the case of part-time doctoral candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of the doctoral programme.

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 maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

Enrollment aid


Organization

COORDINATOR:
ACADEMIC COMMISSION OF THE PROGRAM:
Other Universities:



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

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)

In addition, the following may apply:

  • Holders of an official degree awarded by a university in Spain or any other country in the European Higher Education Area, pursuant to the provisions of Article 16 of Royal Decree 1393/2007, of 29 October, which establishes official university course regulations, who have completed a minimum of 300 ECTS credits on official university degrees, of which at least 60 must be at the master's degree level.
  • Holders of an official Spanish bachelor’s degree comprising at least 300 credits, as provided for by EU regulations. Holder of degrees of this kind must complete bridging courses unless the curriculum of the bachelor’s degree in question included research training credits equivalent in value to those which would be earned on a master's degree.
  • Holders of an official university qualification who, having passed the entrance examination for specialised medical training, have completed at least two years of a training course leading to an official degree in a health-sciences specialisation.
  • Holders of a degree issued under a foreign education system. In these cases, homologation is not required, but the UPC must verify that the degree certifies a level of training equivalent to an official Spanish master's degree and qualifies the holder for admission to doctoral studies in the country where it was issued. Admission on this basis does not imply homologation of the foreign degree or its recognition for any purpose other than admission to doctoral studies.
  • Holders of a Spanish doctoral qualification issued under previous university regulations.
  • Note 1: Doctoral studies entrance regulations for holders of an undergraduate degree awarded before the introduction of the EHEA (CG 47/02 2014)

    Note 2: Governing Council Decision 64/2014, which approves the procedure and criteria for assessing the fulfilment of academic admission requirements for doctoral studies by holders of non-homologated foreign degrees (CG 25/03 2014)

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 academic committee of the programme may authorise an extension of up to one year for full-time doctoral candidates who have not applied to deposit their thesis by the end of the three-year period of study, in the terms outlined in the Academic Regulations for Doctoral Studies of the Universitat Politècnica de Catalunya. In the case of part-time candidates, an extension of two years may be authorised. In both cases, in exceptional circumstances a further one-year extension may be granted by the Doctoral School's Standing Committee, upon the submission of a reasoned application by the academic committee of 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 maximum period of study and of extensions thereof ending.
  • The doctoral candidate not having enrolled every academic year (unless he or she has been authorised to temporarily withdraw).
  • The doctoral candidate failing two consecutive assessments.
  • The doctoral candidate having disciplinary proceedings filed against him or her that rule that he or she must be dismissed from the UPC.

Dismissal from the programme implies that doctoral candidates cannot continue studying at the UPC and the closing of their academic record. This notwithstanding, they may apply to the academic committee of the programme for readmission and the committee must reevaluate them in accordance with the criteria established in the regulations.

International Mention

The doctoral degree certificate may include International Doctorate mention. In this case, the doctoral candidate must meet the following requirements:

a) During the period of study leading to the award of the doctoral degree, the doctoral candidate must have spent at least three months at a respected higher education institution or research centre outside Spain to complete courses or do research work. The stays and activities carried out must be endorsed by the thesis supervisor and authorised by the academic committee of the programme. The candidate must provide a certifying document issued by the person responsible for the research group of the body or bodies where the stay or activity was completed. This information will be added to the doctoral student’s activity report.
b) Part of the thesis (at least the summary and conclusions) must be written and presented in one of the languages commonly used for science communication in the relevant field of knowledge, which must not be an official language of Spain. This rule does not apply to stays and reports in Spanish or to experts from Spanish-speaking countries.
c) At least two PhD-holding experts belonging to a higher education institution or research centre outside Spain must have issued officially certified reports on the thesis.
d) The thesis examination committee must have included at least one PhD-holding expert from a higher education or research institution outside Spain who was not responsible for the candidate’s stay abroad (point a) above).
e) The thesis defence must have taken place on UPC premises or, in the case of joint programmes, at the location specified in the collaboration agreement.

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

  • BARANDA HORTIGÜELA, JORGE: End-to-end network service orchestration in heterogeneous domains for next-generation mobile networks
    Author: BARANDA HORTIGÜELA, JORGE
    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: (DAC)
    Mode: Normal
    Deposit date: 22/09/2021
    Reading date: pending
    Reading time: pending
    Reading place: pending
    Thesis director: MANGUES BAFALLUY, JOSEP
    Committee:
         PRESIDENT: MASIP BRUIN, JAVIER
         SECRETARI: SERRANO YÁNEZ-MINGOT, PABLO
         VOCAL NO PRESENCIAL: YOUSAF, FAQIR ZARRAR
    Thesis abstract: 5G marks the beginning of a deep revolution in the mobile network ecosystem, transitioning to a network of services to satisfy the demands of new players, the vertical industries. This revolution implies a redesign of the overall mobile network architecture where complexity, heterogeneity, dynamicity, and flexibility will be the rule. Under such context, automation and programmability are essential to support this vision and overcome current rigid network operation processes. Software Defined Networking (SDN), Network Function Virtualization (NFV) and Network slicing are key enabling techniques to provide such capabilities. They are complementary, but they are still in its infancy and the synergies between them must be exploited to realise the mentioned vision. The aim of this thesis is to further contribute to its development and integration in next generation mobile networks by designing an end-to-end (E2E) network service orchestration (NSO) architecture, which aligned with some guidelines and specifications provided by main standardization bodies, goes beyond current management and orchestration (MANO) platforms to fulfil network service lifetime requirements in heterogeneous multi-technology/administrative network infrastructures shared by concurrent instances of diverse network services.Following a bottom-up approach, we start studying some SDN aspects related to the management of wireless network elements and its integration into hierarchical control architectures orchestrating networking resources in a multi-technology (wireless, optical, packet) infrastructure. Then, this work is integrated in an infrastructure manager module executing the joint resource abstraction and allocation of network and compute resources in distributed points of presence (PoPs) connected by a transport network, aspect which is not (or lightly) handled by current MANO platforms. This is the module where the integration between NFV and SDN techniques is executed. This integration is commanded by a Service Orchestrator module, in charge of automating the E2E lifecycle management of network services implementing network slices (NS) based on the vertical requirements, the available infrastructure resources, and, while fulfilling service level agreement (SLA) also during run-time operation. This architecture, focused on single administrative domain (AD) scenarios, constitutes the first group of contributions of this thesis.The second group of contributions evolves this initial architecture to deal with the orchestration and sharing of NS and its network slice subnet instances (NSSIs) involving multiple ADs. The main differential aspect with current state-of-the-art solutions is the consideration of resource orchestration aspects during the whole orchestration process. This is fundamental to achieve the interconnection of NSSIs, hence making the E2E multi-domain orchestration and network slicing a reality in practice. Additionally, this work also considers SLA management aspects by means of scaling actions during run-time operation in such complex scenarios. The third group of contributions demonstrate the validity and applicability of the resulting architectures, workflows, and interfaces by implementing and evaluating them in real experimental infrastructures featuring multiple ADs and transport technologies interconnecting distributed computing PoPs. The performed experimentation considers network service definitions close to real vertical use cases, namely automotive and eHealth, which help bridging the gap between network providers and vertical industries stakeholders. Experimental results show that network service creation and scaling times in the order of minutes can be achieved for single and multi-AD scenarios, in line with 5G network targets. Moreover, these measurements serve as a reference for benchmarking the different operations involved during the network service deployment. Such analysis are limited in current literature.
  • PUEYO CENTELLES, ROGER: Towards LoRa mesh networks for the IoT
    Author: PUEYO CENTELLES, ROGER
    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: (DAC)
    Mode: Normal
    Deposit date: 30/09/2021
    Reading date: pending
    Reading time: pending
    Reading place: pending
    Thesis director: MESEGUER PALLARES, ROQUE | FREITAG, FELIX
    Committee:
         PRESIDENT: CANO BASTIDAS, CRISTINA
         SECRETARI: BARCELÓ ORDINAS, JOSE MARIA
         VOCAL NO PRESENCIAL: BRAEM, BART
    Thesis abstract: There are several LPWAN radio technologies providing wireless communication to the billions of connected devices that form the so-called IoT. Among them, LoRa has emerged in recent years as a popular solution for low power embedded devices to transmit data at long distances on a reduced energy budget.Most often, LoRa is used as the physical layer of LoRaWAN, an open standard that defines a MAC layer and specifies the star-of-stars topology, operation, roles and mechanisms for an integrated, full-stack IoT architecture. Nowadays, millions of devices use LoRaWAN networks in all sorts of agriculture, smart cities and buildings, industry, logistics and utilities scenarios.Despite its success in all sorts of IoT domains and environments, there are still use cases that would benefit from more flexible network topologies than LoRaWAN's star-of-stars. For instance, in scenarios where the deployment and operation of the backbone network infrastructure is technically or economically challenging, a more flexible model may improve certain performance metrics. As a first major contribution, this thesis investigates the effects of adding multi-hop capability to LoRaWAN, by means of the realistic use case of a communication system based on this architecture that provides a coordinated response in the aftermath of natural disasters like an earthquake. The capacity of end nodes to forward packets and perform multi-hop transmissions is explored, as a strategy to overcome gateway infrastructure failures, and analyzed for challenges, benefits and drawbacks in a massive system with thousands of devices.LoRa is also used as a stand-alone radio technology, independently from the LoRaWAN architecture. Its CSS modulation offers many advantages in LPWANs for IoT deployments. In particular, its different SFs available determine a trade-off between transmission time (i.e., data rate) and sensitivity (i.e., distance reach), and also generate quasi-orthogonal signals that can be demodulated concurrently by different receivers. The second major contribution of this thesis is the design of a minimalistic distance-vector routing protocol for embedded IoT devices featuring a LoRa transceiver, and the proposal of a path cost calculation metric that takes advantage of the multi-SF capability to reduce end-to-end transmission time. The protocol is evaluated through simulation and compared with other well-known routing strategies, analyzing and discussing its suitability for heterogeneous IoT LoRa mesh networks.

Last update: 16/10/2021 04:47:07.

List of lodged theses

No hi ha registres per mostrar.

Last update: 16/10/2021 04:30:36.

List of defended theses by year

  • BARREDO FERREIRA, ADRIÁN: Novel techniques to improve the performance and the energy of vector architectures
    Author: BARREDO FERREIRA, ADRIÁN
    Thesis link: http://hdl.handle.net/10803/672308
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 19/07/2021
    Thesis director: MORETÓ PLANAS, MIQUEL | ARMEJACH SANOSA, ADRIÀ

    Committee:
         PRESIDENT: GARZARAN ARNAU, MARIA JESÚS
         SECRETARI: ABELLA FERRER, JAIME
         VOCAL NO PRESENCIAL: SASSATELLI, GILLES
    Thesis abstract: The rate of annual data generation grows exponentially. At the same time, there is a high demand to analyze that information quickly. In the past, every processor generation came with a substantial frequency increase, leading to higher application throughput. Nowadays, due to the cease of Dennard scaling, further performance must come from exploiting parallelism.Vector architectures offer an efficient manner, in terms of performance and energy, of exploting parallelism at data-level by means of instructions that operate over multiple elements at the same time. This is popularly known as Single Instruction Multiple Data (SIMD). Traditionally, vector processors were employed to accelerate applications in research, and they were not industry-oriented. However, vector processors are becoming widely used for data processing in multimedia applications,and entering in new application domains such as machine learning and genomics. In this thesis, we study thecircumstances that cause inefficiencies in vector processors, and new hardware/software techniques are proposed to improve the performance and energy consumption of these processors.We first analyze the behavior of predicated vector instructions in a real machine. We observe that their execution time is dependent on the vector register length and not on the source mask employed. Therefore, a hardware/software mechanismis proposed to alleviate this situation, that will have a higher impact in future processors with wider vector register lengths.We then study the impact of memory accesses to performance. We identify that an irregular memory access pattern prevents an efficient vectorization, which is automatically discarded by the compiler. For this reason, we propose a near-memoryaccelerator capable of rearranging data structures and transforming irregular memory accesses to dense ones. Thisoperation may be performed by the devices as the host processor is computing other code regions.Finally, we observe that many applications with irregular memory access patterns just perform a simple operation on the data before it is evicted back to main memory. In these situations, there is a lack of data access locality, leading to an inefficientuse of the memory hierarchy. For this reason, we propose to utilize the accelerators previously described to compute directly near memory.

  • BECERRA SÁNCHEZ, ENRIQUETA PATRICIA: Development of cognitive workload models to detect driving impairment
    Author: BECERRA SÁNCHEZ, ENRIQUETA PATRICIA
    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: (DAC)
    Mode: Normal
    Reading date: 20/09/2021
    Thesis director: REYES MUÑOZ, MARIA ANGELICA

    Committee:
         PRESIDENT: COSIO LEON, MARIA DE LOS ÁNGELES
         SECRETARI: BARRADO MUXI, CRISTINA
         VOCAL: GARCIA RUIZ, MIGUEL ANGEL
    Thesis abstract: Driving a vehicle is a complex activity exposed to continuous changes such as speed limits and vehicular traffic. Drivers require a high degree of concentration when performing this activity, increasing the amount of mental demand known as cognitive workload, causing vehicular accidents to the minimum negligence. In fact, human error is the leading contributing factor in over 90% of road accidents].In recent years, the subjects' cognitive workload levels while driving a vehicle have been predicted using subjective and vehicle performance tools. Other research has emphasized the use and analysis of physiological information, where electroencephalographic (EEG) signals are the most used to identify cognitive states due to their high precision. Although significant progress has been made in this area, these investigations have been based on traditional techniques or data analysis from a specific source due to the information's complexity. A new trend has been opened in the study of the internal behavior of subjects by implementing machine learning techniques to analyze information from various sources. However, there are still several challenges to face in this new line of research.This doctoral thesis presents a new model to predict the states of low and high cognitive workload of subjects when facing scenarios of driving a vehicle called GALoRSI-SVMRBF (Genetic Algorithms and Logistic Regression for the Structuring of Information-Support Vector Machine with Radial Basis Function Kernel). GALoRSI-SVMRBF is developed using machine learning algorithms based on information from EEG signals. Also, the information collected from NASA-TLX, instant online self-assessment and the error rate measure are implemented in the model.First, GALoRSI-SVMRBF proposes a new method for pattern recognition based on feature selection that combines statistical tests, genetic algorithms, and logistic regression. This method consists mainly of selecting an EEG dataset and exploring the information to identify the key features that recognize cognitive states. The selected data are defined as an index for pattern recognition and used to structure a new dataset capable of optimizing the model's learning and classification process.Second, the methodology and development of a classifier for the prediction model are presented, implementing machine learning algorithms. The classifier is developed mainly in two phases, defined as training and testing. Once the prediction model has been developed, this thesis presents the validation phase of GALoRSI-SVMRBF. The validation consists of evaluating the model's adaptability to new datasets, maintaining a high prediction rate. Finally, an analysis of the performance of GALoRSI-SVMRBF is presented. The objective is to know the model's scope and limitations, evaluating various performance metrics to find the optimal configuration for GALoRSI-SVMRBF.We found that GALoRSI-SVMRBF successfully predicts low and high cognitive workload of subjects while driving a vehicle. In general, it is observed that the model uses the information extracted from multiple EEG signals, reducing the original dataset by more than 50%, maximizing its predictive capacity, achieving a precision rate of >90% in the classification of the information. During this thesis, the experiments showed that obtaining a high percentage of prediction depends on several factors, from applying a useful collection technique data until the last step of the prediction model.

  • BELLVER BUENO, MÍRIAM: Image and video object segmentation in low supervision scenarios
    Author: BELLVER BUENO, MÍRIAM
    Thesis link: http://hdl.handle.net/10803/671921
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 26/03/2021
    Thesis director: TORRES VIÑALS, JORDI | GIRÓ NIETO, XAVIER

    Committee:
         PRESIDENT: AKATA, ZEYNEP
         SECRETARI: MORENO NOGUER, FRANCESC D\'ASSIS
         VOCAL: KALANTIDIS, YANNIS
    Thesis abstract: Computer vision plays a key role in Artificial Intelligence because of the rich semantic information contained in pixels and the ubiquity of cameras nowadays. Multimedia content is on a rise since social networks have such a strong impact in our society and access to the internet becomes more widespread. This context allows the gathering of large datasets which have fostered great advancements in the computer vision field thanks to deep neural networks. These models can effectively exploit large amounts of data to reach a high expressive power. Since the breakout of Imagenet, a large dataset for image classification, most computer vision tasks have benefited from deep neural networks. Among the different tasks in the computer vision field, locating objects in images and videos is a central one, as it has many applications in autonomous driving, surveillance, image and video edition, medical diagnosis and biometrics along with others. Localization of objects can be obtained with bounding boxes around the target objects, or with accurate pixel-level masks that delineate the instances. The latter is a more challenging task, but fundamental for certain applications where edges of objects need to be determined. The main task addressed in this thesis is instance segmentation, that consists in, given an image or video, providing pixel-level masks for each instance of certain semantic object classes. In order to train a segmentation model, current solutions rely on large amounts of pixel-wise annotations, which demand significant human effort to collect. Furthermore, expert knowledge is needed to gather certain annotations, such as labels for medical images. In consequence, there is a huge interest for systems that work with less-demanding forms of supervision, such as weakly or semi-supervised pipelines.  Besides, in some segmentation tasks, human effort is not only needed for training the models, but also at inference. In semi-automatic systems, user input may be required as guidance to start the system. One example is the task of one-shot Video Object Segmentation~(osVOS), which expects that the end-user provides a pixel-level mask for each object to be tracked in the first frame of the video. Following, the model must predict the segmentation mask of the tracked objects for the remaining frames. These initialization cues are crucial for high accuracy, but they are arduous to obtain. An alternative are models that depend on weaker input signals that are user-friendlier.This thesis explores different supervision scenarios for the instance segmentation task, distinguishing between supervision during training and at inference, and focusing on low-supervision setups. In the first part of the thesis we present a novel recurrent architecture for video object segmentation that is end-to-end trainable in a fully-supervised setup, and that does not require any post-processing step, i.e., the output of the model directly solves the addressed task. The second part of the thesis aims at lowering the annotation cost, in terms of labeling time, needed to train image segmentation models. We explore semi-supervised pipelines and show results when a very limited budget is available. The third part of the dissertation attempts to alleviate the supervision required by semi-automatic systems at inference time. Particularly, we focus on semi-supervised video object segmentation, which typically requires generating a binary mask for each instance to be tracked. In contrast, we present a model for language-guided video object segmentation, which identifies the object to segment with a natural language expression. We study current benchmarks, propose a novel categorization of referring expressions for video, and identify the main challenges posed by the video task.

  • BOSCH PONS, JAUME: Breaking host-centric management of Task-Based Parallel Programming Models
    Author: BOSCH PONS, JAUME
    Thesis link: http://hdl.handle.net/10803/672309
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 21/07/2021
    Thesis director: ALVAREZ MARTINEZ, CARLOS | JIMENEZ GONZALEZ, DANIEL

    Committee:
         PRESIDENT: DEMIRSOY, SULEYMAN
         SECRETARI: CANAL CORRETGER, RAMON
         VOCAL NO PRESENCIAL: GRAN TEJERO, RUBEN
    Thesis abstract: Heterogeneous platforms had become popular to increase the computational power of the systems within a constrained power budget. They are present in several systems, from embedded platforms and mobile devices to high-end servers and clusters.However, the co-processors are managed following a master-slave model where the general-purpose CPU drives the rest of elements. This management limits the system possibilities as not all application parts are suitable to be executed in anaccelerator. This thesis presents different proposals to enhance the usage of co-processors in task-based parallel programming models, which are a powerful tool to easily program applications for heterogeneous platforms.The first proposal enhances the task-based systems with an asynchronous, concurrent, and parameterizable behavior. The improvements go across the full-stack, from the programming model level down to the low-level communications used betweenthe libraries and the co-processors. The evaluation shows that the implemented improvements boost the applications' performance as they can be easily tuned for the running platform.The second proposal adds support for task spawn and synchronization in co-processors. The offloaded tasks can create child tasks that target other architectures or remain inside the co-processor. This allows the programmers to implement applicationseasily and effectively. The evaluation shows the efficiency of the proposal implementation in terms of latency and power consumption. The results show that applications can increase their performance and optimize their power consumption just moving the task spawn from the host threads to the co-processor. This is thanks to the low-latency task management inside theco-processors, which also reduces the communications between the host and the co-processor.The third proposal extends task-based programming models with concepts of recurrent workloads. The regular task syntax has been extended with new clauses to label the recurrent tasks and provide the needed information to the runtime. The evaluation shows an application programmability increase thanks to the new syntax, which allows the specification of recurrent systems with much less code and better accuracy. Also, the direct management of task repetitions and periods in the co-processors allows an almost zero-latency management that is able to manage any task granularity.

  • BUCHACA PRATS, DAVID: Learning workload behaviour models from monitored time-series for resource estimation towards data center optimization
    Author: BUCHACA PRATS, DAVID
    Thesis link: http://hdl.handle.net/10803/671481
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 14/01/2021
    Thesis director: CARRERA PÉREZ, DAVID | BERRAL GARCÍA, JOSEP LLUÍS

    Committee:
         PRESIDENT: IQBAL, WAHEED
         SECRETARI: NIN GUERRERO, JORDI
         VOCAL: BIFET FIGUEROL, ALBERT CARLES
    Thesis abstract: In recent years there has been an extraordinary growth of the demand of Cloud Computing resources executed in Data Centers. Modern Data Centers are complex systems that need management. As distributed computing systems grow, and workloads benefit from such computing environments, the management of such systems increases in complexity. The complexity of resource usage and power consumption on cloud-based applications makes the understanding of application behavior through expert examination difficult. The difficulty increases when applications are seen as "black boxes", where only external monitoring can be retrieved. Furthermore, given the different amount of scenarios and applications, automation is required. To deal with such complexity, Machine Learning methods become crucial to facilitate tasks that can be automatically learned from data. Firstly, this thesis proposes an unsupervised learning technique to learn high level representations from workload traces. Such technique provides a fast methodology to characterize workloads as sequences of abstract phases. The learned phase representation is validated on a variety of datasets and used in an auto-scaling task where we show that it can be applied in a production environment, achieving better performance than other state-of-the-art techniques. Secondly, this thesis proposes a neural architecture, based on Sequence-to-Sequence models, that provides the expected resource usage of applications sharing hardware resources. The proposed technique provides resource managers the ability to predict resource usage over time as well as the completion time of the running applications. The technique provides lower error predicting usage when compared with other popular Machine Learning methods. Thirdly, this thesis proposes a technique for auto-tuning Big Data workloads from the available tunable parameters. The proposed technique gathers information from the logs of an application generating a feature descriptor that captures relevant information from the application to be tuned. Using this information we demonstrate that performance models can generalize up to a 34% better when compared with other state-of-the-art solutions. Moreover, the search time to find a suitable solution can be drastically reduced, with up to a 12x speedup and almost equal quality results as modern solutions. These results prove that modern learning algorithms, with the right feature information, provide powerful techniques to manage resource allocation for applications running in cloud environments. This thesis demonstrates that learning algorithms allow relevant optimizations in Data Center environments, where applications are externally monitored and careful resource management is paramount to efficiently use computing resources. We propose to demonstrate this thesis in three areas that orbit around resource management in server environments

  • DAMICO, MARCO: Scheduling and resource management solutions for the scalable and efficient design of today's and tomorrow's HPC machines
    Author: DAMICO, MARCO
    Thesis link: http://hdl.handle.net/10803/672233
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 10/06/2021
    Thesis director: CORBALAN GONZALEZ, JULITA | JOKANOVIC, ANA

    Committee:
         PRESIDENT: BULL, JONATHAN MARK
         SECRETARI: UTRERA IGLESIAS, GLADYS MIRIAM
         VOCAL NO PRESENCIAL: RODRIGO ALVAREZ, GONZALO PEDRO
    Thesis abstract: In recent years, high-performance computing research became essential in pushing the boundaries of what men can know, predict, achieve, and understand in the experimented reality.HPC Workloads grow in size and complexity hand to hand with the machines that support them, accommodating big data, data analytic, and machine learning applications at the side of classical compute-intensive workloads. Simultaneously, power demand is hugely increasing, becoming a constraint in the design of these machines.The increasing diversification of processors and accelerators, new special-purpose devices, and new memory layers allow better management of these workloads. At the same time, libraries and tools are being developed to support and to make the most out of the hardware while offering standardized and straightforward interfaces to users and developers. Different scheduling and resource management layers are fundamental in organizing the work and the access to resources.This thesis focuses on the job scheduling and resource management layer. We claim that this layer needs research in the following three directions: awareness, dynamicity, and automatization. First, awareness of the hardware and applications characteristics would improve the configuration, scheduling, and placement of tasks. As a second point, dynamic systems are more responsive. They react fast to changes in the hardware, e.g.,in failure cases, and they adapt to application's requirements changes. Finally, automatization is the last direction. In our opinion future systems need to act autonomously. A system that keeps relying on user guidance is prone to errors and requires unnecessary user expertise.This thesis presents three main contributions contributing to fill those gaps. First, we developed DROM, a transparent library that allows parallel applications to shrink and expand dynamically in the computing nodes. DROM enables efficiently utilization of the available resources, with no effort for developers and users. We enabled vertical malleability, i.e., internal malleability in computing nodes, by including in DROM API and data structures that allow resource managers to control the number of threads and their pinning to computing cores at runtime. We measured a negligible overhead and we integrating DROM with OpenMPI, OmpSs, and MPI.As a second contribution, we developed a system-wide malleable scheduling and resource management policy that uses slowdown predictions to optimize the scheduling of malleable jobs. We called this policy Slowdown-Driven policy (SD-policy). SD-policy uses malleability and node sharing to run new jobs by shrinking running jobs with a lower slowdown, only if the new job has reduced predicted end time compared to the static scheduling. We obtained a very promising reduction in the slowdown, makespan, and consumed energy with workloads combining compute-bounded and memory-bounded jobs.Ultimately, we used and extended an energy and runtime model to predict the job's runtime and dissipated energy for multiple hardware architectures. We implemented an energy-aware multi-cluster policy, EAMC-policy, that uses predictions to select optimal core frequencies and to filter and prioritize job submissions into the most efficient hardware in case of heterogeneity. This is done automatically, reducing user's intervention and necessary knowledge. Simulations based on real-world hardware and workloads show high energy savings and reduced response time are achieved compared to non-energy-aware and non-heterogeneous aware scheduling.

  • KAHIRA, ALBERT NJOROGE: Convergence of deep learning and high performance computing: challenges and solutions
    Author: KAHIRA, ALBERT NJOROGE
    Thesis link: http://hdl.handle.net/10803/672417
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 30/07/2021
    Thesis director: BADIA SALA, ROSA MARIA | BAUTISTA GOMEZ, LEONARDO ARTURO

    Committee:
         PRESIDENT: MARUYAMA, NAOYA
         SECRETARI: CASAS GUIX, MARC
         VOCAL NO PRESENCIAL: BALAPRAKASH, PRASANNA
    Thesis abstract: Deep Learning has achieved outstanding results in many fields and led to groundbreaking discoveries. With the steady increase in datasets and model sizes, there has been a recent surge in Machine Learning applications in High-Performance Computing (HPC) to speed up training. Deep Neural Network (DNN) frameworks use distributed training to enable faster time to convergence and alleviate memory capacity limitations when training large models or using high dimension inputs. However, training DNN in HPC infrastructures presents a unique set of challenges: scalability, IO contention, network congestion and fault tolerance. Solving these problems is particularly challenging and unique due to DL applications¿ nature and the history of adaptation of DL in HPC. This thesis addresses scalability and resilience challenges by looking at different parts of the Machine Learning Workflow.We first address hyper-parameters optimisation (HPO), which is one of the most time consuming and resource-intensive parts of a Machine Learning Workflow. We present a HPO scheme built on top of PyCOMPSs, a programming model and runtime which aims to ease the development of parallel applications for distributed infrastructures. We show that PyCOMPSs is a robust framework that can accelerate the process of Hyperparameter Optimisation across multiple devices and computing units. We perform a detailed performance analysis showing different configurations to demonstrate the effectiveness of our approach.We then analyse the compute, communication, and memory requirements of DNNs to understand the trade-offs of different parallelism approaches on performance and scalability. We leverage our model-driven analysis to be the basis for an oracle utility that can help detect the limitations and bottlenecks of different parallelism approaches at scale.While significant effort has been put to facilitate distributed training by DL frameworks,fault tolerance has been largely ignored. We examine the checkpointing implementation of popular DL platforms. We evaluate the computational cost of checkpointing, file formats and file sizes, the impact of scale, and deterministic checkpointing. We provide discussion points that can aid users in selecting a fault-tolerant framework to use in HPC. We also provide take-away points that framework developers can use to facilitate better checkpointing of DL workloads in HPC.

  • MAROÑAS BRAVO, MARCOS: On the design and development of programming models for exascale systems
    Author: MAROÑAS BRAVO, MARCOS
    Thesis link: http://hdl.handle.net/10803/671783
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 17/02/2021
    Thesis director: BELTRAN QUEROL, VICENÇ | AYGUADÉ PARRA, EDUARD

    Committee:
         PRESIDENT: GRACIA CALVO, JUAN JOSE
         SECRETARI: MARTORELL BOFILL, XAVIER
         VOCAL NO PRESENCIAL: RICO CARRO, ALEJANDRO
    Thesis abstract: High Performance Computing (HPC) systems have been evolving over time to adapt to the scientific communityrequirements. We are currently approaching to the Exascale era. Exascale systems will incorporate a large number of nodes,each of them containing many computing resources. Besides that, not only the computing resources, but memoryhierarchies are becoming more deep and complex. Overall, Exascale systems will present several challenges in terms ofperformance, programmability and fault tolerance. Regarding programmability, the more complex a system architecture is,the more complex to properly exploit the system. The programmability is closely related to the performance, because theperformance a system can deliver is useless if users are not able to write programs that obtain such performance. Thisstresses the importance of programming models as a tool to easily write programs that can reach the peak performance ofthe system. Finally, it is well known that more components lead to more errors. The combination of large executions with alow Mean Time To Failure (MTTF) may jeopardize application progress. Thus, all the efforts done to improve performancebecome pointless if applications hardly finish. To prevent that, we must apply fault tolerance. The main goal of this thesis is toenable non-expert users to exploit complex Exascale systems. To that end, we have enhanced state-of-the-art parallelprogramming models to cope with three key Exascale challenges: programmability, performance and fault tolerance. The firstset of contributions focuses on the efficient management of modern multicore/manycore processors. We propose a new kindof task that combines the key advantages of tasks with the key advantages of worksharing techniques. The use of this newtask type alleviates granularity issues, thereby enhancing performance in several scenarios. We also propose theintroduction of dependences in the taskloop construct so that programmers can easily apply blocking techniques. Finally, weextend taskloop construct to support the creation of the new kind of tasks instead of regular tasks. The second set ofcontributions focuses on the efficient management of modern memory hierarchies, focused on NUMA domains. By using theinformation that users provide in the dependences annotations, we build a system that tracks data location. Later, we usethis information to take scheduling decisions that maximize data locality. Our last set of contributions focuses on faulttolerance. We propose a programming model that provides application-level checkpoint/restart in an easy and portable way.Our programming model offers a set of compiler directives to abstract users from system-level nuances. Then, it leveragesstate-of-the-art libraries to deliver high performance and includes several redundancy schemes.

  • PAILLISSÉ VILANOVA, JORDI: Next generation overlay networks: security, trust, and deployment challenges
    Author: PAILLISSÉ VILANOVA, JORDI
    Thesis link: http://hdl.handle.net/10803/672330
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 23/07/2021
    Thesis director: CABELLOS APARICIO, ALBERTO | MAINO, FABIO

    Committee:
         PRESIDENT: MANZALINI, ANTONIO
         SECRETARI: DOMINGO PASCUAL, JORDI
         VOCAL NO PRESENCIAL: RÉTVÁRI, GÁBOR
    Thesis abstract: Overlay networks are a technique to build a new network on top of an existing one. They are a key tool to add functionality to existing networks, and are used in different layers of the Internet stack for a wide variety of purposes, like confidentiality, Quality of Service, virtual networking, etc. Specifically, network overlays in the IP networking layer are widely used in some of these use cases. However, these kind of overlay networks do not have as many functionalities as overlays in other layers. For example, thanks to the Zero Trust Networking paradigm it is possible to build secure overlay networks at L7 using HTTPS.Taking this into account, this thesis strives to add new features and improve on others of IP overlay networks, in order to support emerging challenges. This thesis focuses on three axes: security, trust, and deployment in enterprise scenarios. First, regarding security, we explore how to simplify the setup of secure tunnels over the Internet, without relying on external Public Key Infrastructure or proprietary solutions. To this purpose, we leverage WireGuard, a state of the art VPN protocol, and add a control plane on top of it to distribute encryption keys. In addition, we present the implementation of a prototype and a performance evaluation.Second, with respect to trust, we investigate how emerging blockchain technology can be used in distributed mapping systems. Mapping systems are a database used in some overlay network deployments to assist in the creation of tunnels, by storing overlay to underlay pairs of addresses. Mapping systems are not commonly used in scenarios with multiple administrative domains, due to configuration complexity and centralized control. We explore how some of the properties of blockchains, such as distributed control, or auditability, can help in building these type of mapping systems. We take into account both the policy aspects, that is, the advantages of a distributed trust scheme, and the technical ones, like simplified management. In addition, we present two deployment scenarios: one to increase the security of BGP-based inter-domain routing, and a set of cooperating companies that want to establish communications among themselves.Finally, we focus on the deployment of enterprise networks leveraging overlay networks. First, we discuss the challenges present in current enterprise networks, such as segmentation, mobility, or simplified operations. Then, we present a design based on overlay networks and SDN principles to address them, along with an evaluation of two real-life deployments. We conclude with a design tailored for future enterprise networks, based also on overlay networks and a layered approach. This solution aims to provide mobility, multi-homing, confidentiality, user and application identity, and access control policies for enterprise endpoints connected from any network, either in the campus or outside.

  • SEGURA SALVADOR, ALBERT: High-performance and energy-efficient irregular graph processing on GPU architectures
    Author: SEGURA SALVADOR, ALBERT
    Thesis link: http://hdl.handle.net/10803/671449
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 18/02/2021
    Thesis director: ARNAU MONTAÑES, JOSÉ MARÍA | GONZÁLEZ COLÁS, ANTONIO MARIA

    Committee:
         PRESIDENT: AAMODT, TOR MICHAEL
         SECRETARI: TUBELLA MURGADAS, JORDI
         VOCAL NO PRESENCIAL: SAHUQUILLO BORRÁS, JULIO
    Thesis abstract: Graph processing is an established and prominent domain that is the foundation of new emerging applications in areas such as Data Analytics and Machine Learning, empowering applications such as road navigation, social networks and automatic speech recognition. The large amount of data employed in these domains requires high throughput architectures such as GPGPU. Although the processing of large graph-based workloads exhibits a high degree of parallelism, memory access patterns tend to be highly irregular, leading to poor efficiency due to memory divergence.In order to ameliorate these issues, GPGPU graph applications perform stream compaction operations which process active nodes/edges so subsequent steps work on a compacted dataset. We propose to offload this task to the Stream Compaction Unit (SCU) hardware extension tailored to the requirements of these operations, which additionally performs pre-processing by filtering and reordering elements processed.We show that memory divergence inefficiencies prevail in GPGPU irregular graph-based applications, yet we find that it is possible to relax the strict relationship between thread and processed data to empower new optimizations. As such, we propose the Irregular accesses Reorder Unit (IRU), a novel hardware extension integrated in the GPU pipeline that reorders and filters data processed by the threads on irregular accesses improving memory coalescing.Finally, we leverage the strengths of both previous approaches to achieve synergistic improvements. We do so by proposing the IRU-enhanced SCU (ISCU), which employs the efficient pre-processing mechanisms of the IRU to improve SCU stream compaction efficiency and NoC throughput limitations due to SCU pre-processing operations. We evaluate the ISCU with state-of-the-art graph-based applications achieving a 2.2x performance improvement and 10x energy-efficiency.

  • SILFA FELIZ, FRANYELL ANTONIO: Energy-efficient architectures for recurrent neural networks
    Author: SILFA FELIZ, FRANYELL ANTONIO
    Thesis link: http://hdl.handle.net/10803/671448
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 25/01/2021
    Thesis director: ARNAU MONTAÑES, JOSÉ MARÍA | GONZÁLEZ COLÁS, ANTONIO MARIA

    Committee:
         PRESIDENT: KRISHNA, TUSHAR
         SECRETARI: PASTOR LLORENS, ENRIQUE
         VOCAL NO PRESENCIAL: CANO REYES, JOSE
    Thesis abstract: Deep Learning algorithms have been remarkably successful in applications such as Automatic Speech Recognition and Machine Translation. Thus, these kinds of applications are ubiquitous in our lives and are found in a plethora of devices. These algorithms are composed of Deep Neural Networks (DNNs), such as Convolutional Neural Networks and Recurrent Neural Networks (RNNs), which have a large number of parameters and require a large amount of computations. Hence, the evaluation of DNNs is challenging due to their large memory and power requirements.RNNs are employed to solve sequence to sequence problems such as Machine Translation. They contain data dependencies among the executions of time-steps hence the amount of parallelism is severely limited. Thus, evaluating them in an energy-efficient manner is more challenging than evaluating other DNN algorithms. This thesis studies applications using RNNs to improve their energy efficiency on specialized architectures. Specifically, we propose novel energy-saving techniques and highly efficient architectures tailored to the evaluation of RNNs. We focus on the most successful RNN topologies which are the Long Short Term memory and the Gated Recurrent Unit. First, we characterize a set of RNNs running on a modern SoC. We identify that accessing the memory to fetch the model weights is the main source of energy consumption. Thus, we propose E-PUR: an energy-efficient processing unit for RNN inference. E-PUR achieves 6.8x speedup and improves energy consumption by 88x compared to the SoC. These benefits are obtained by improving the temporal locality of the model weights. In E-PUR, fetching the parameters is the main source of energy consumption. Thus, we strive to reduce memory accesses and propose a scheme to reuse previous computations. Our observation is that when evaluating the input sequences of an RNN model, the output of a given neuron tends to change lightly between consecutive evaluations.Thus, we develop a scheme that caches the neurons' outputs and reuses them whenever it detects that the change between the current and previously computed output value for a given neuron is small avoiding to fetch the weights. In order to decide when to reuse a previous value we employ a Binary Neural Network (BNN) as a predictor of reusability. The low-cost BNN can be employed in this context since its output is highly correlated to the output of RNNs. We show that our proposal avoids more than 24.2% of computations. Hence, on average, energy consumption is reduced by 18.5% for a speedup of 1.35x.RNN models¿ memory footprint is usually reduced by using low precision for evaluation and storage. In this case, the minimum precision used is identified offline and it is set such that the model maintains its accuracy. This method utilizes the same precision to compute all time-steps.Yet, we observe that some time-steps can be evaluated with a lower precision while preserving the accuracy. Thus, we propose a technique that dynamically selects the precision used to compute each time-step. A challenge of our proposal is choosing a lower bit-width. We address this issue by recognizing that information from a previous evaluation can be employed to determine the precision required in the current time-step. Our scheme evaluates 57% of the computations on a bit-width lower than the fixed precision employed by static methods. We implement it on E-PUR and it provides 1.46x speedup and 19.2% energy savings on average.

  • TAGHVAEE, HAMIDREZA: On scalable, reconfigurable, and intelligent metasurfaces
    Author: TAGHVAEE, HAMIDREZA
    Thesis link: http://hdl.handle.net/10803/672339
    Programme: DOCTORAL DEGREE IN COMPUTER ARCHITECTURE
    Department: (DAC)
    Mode: Normal
    Reading date: 21/07/2021
    Thesis director: CABELLOS APARICIO, ALBERTO | ABADAL CAVALLÉ, SERGI

    Committee:
         PRESIDENT: CUI, TIE-JUN
         SECRETARI: LAZARO VILLA, JOSE ANTONIO
         VOCAL NO PRESENCIAL: JORNET MONTAÑA, JOSEP MIQUEL
    Thesis abstract: Sixth Generation (6G) of wireless networks will be even more heterogeneous and dense as compared to Fifth Generation (5G) and other legacy networks. Thus, the 6G architecture will need to be adapted to serve the ever-evolving capacity and quality of service requirements. To satisfy these ever-increasing demands, multiple enablers such as visible light communication, light fidelity, Reconfigurable Intelligent Surfaces (RISs), THz communications, etc., have been proposed. Specifically, RISs, through their programmable characteristics, can perform the fine-grained manipulation of the radio signals being generated by the myriad transmitter devices/access points for their corresponding receivers. Such manipulations include absorption of certain components of the impinging radio signals, as well as fine-grained control of these signals in terms of direction, polarization, phase, and power in a frequency-selective manner. An RIS consists of a device that controls the behavior of the Electromagnetic (EM) waves, alongside circuits that provide the tuning mechanism and the intelligence to control it. This device that controls the EM wave behavior can be realized using Metasurfaces (MSs), which are electromagnetically thin-film and planar artificial structures that enable the control of EM fields in engineered and even atypical ways. Hence, the MS is a component of the RIS. On a more granular level, an MS is composed of subwavelength building blocks known as unit cells or meta-atoms. The design of these unit cells depends on the required EM functionality, reconfigurability, or accuracy. The promises of the RIS paradigm, therefore, come at the expense of a non-trivial complexity in the MS. On the one hand, the performance of an RIS depends on the size of the unit cells, the number of unit cell states, or the size of the whole MS. On the other hand, there are costs and energy overheads associated with the fabrication and operation of RISs that also scale with the aforementioned factors. This thesis aims to bridge this gap by providing a method to dimension the RIS through a design-oriented scalability analysis of programmable MSs. Besides the challenge of design complexity, MSs will become prone to failure as they continue integrating sophisticated tuning, control and sensing circuits. However, the impact of faults on the performance of individual MSs is not well understood yet. This thesis proposes a framework to evaluate the impact of failures in programmable MSs, distinguishing between the type of faults and their spatial distribution. While RIS generally hinge on the design of rather complex tunable MSs, such a complexity can be amortized if the functionality provided by the RIS can be shared among multiple users. This thesis introduces a coding (i.e. digital programming of unit cells) technique based on the momentum conservation law and superposition of waves for MS reconfiguration to engineer multiple beams independently. Then, the wireless channel of such framework among multiple users is evaluated. The capacity is increased at least one order of magnitude compared to a scenario without RIS. Machine learning techniques, and particularly Neural Networks (NNs), owing to their ability to learn complex relationships between input and output data, are capable of solving differential equations, thereby circumventing the need for numerical calculations. This thesis provisions a data-driven NN-based approach for determining an accurate estimation of the radiation pattern or several measures of interest that enable the full characterization of the radiation pattern. In summary, contributions of this thesis fall under the umbrella of paving the way to realizing 5G and beyond wireless communications empowered with RIS technology.

Last update: 16/10/2021 05:11:51.

Theses related publications

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
RELATED PUBLICATIONS
Segura, A. (2017). Energy-Efficient GPU Architectures for Speech Recognition.

Yazdani, R.; Segura, A.; Arnau, J.; Gonzalez, A. (2017). Low-power automatic speech recognition through a mobile GPU and a Viterbi accelerator. - IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2017: 1.913; Quartil: Q2)

Yazdani, R.; Segura, A.; Arnau, J.; Gonzalez, A. (2016). An ultra low-power hardware accelerator for automatic speech recognition.

Segura, A.; Arnau, J.; Gonzalez, A. (2019). SCU: a GPU stream compaction unit for graph processing.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Maroñas, M. (2017). OMPSS PERSISTENT CHECKPOINT/RESTART: A DIRECTIVE-BASED APPROACH.

Maroñas, M. (2017). Extending OmpSs to Support Data Analytics Workload.

Maroñas, M.; Mateo, S.; Keller, K.; Bautista Gomez, Leonardo Arturo; Ayguade, E.; Beltran, V. (2020). Extending the OpenCHK Model with advanced checkpoint features. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Maroñas, M.; Mateo, S.; Beltran, V.; Ayguade, E. (2017). A directive-based approach to perform persistent checkpoint/restart.

Maroñas, M.; Sala, K.; Mateo, S.; Ayguade, E.; Beltran, V. (2019). Worksharing tasks: An efficient way to exploit irregular and fine-grained loop parallelism.

Maroñas, M.; Teruel, X.; Bull, J.; Ayguade, E.; Beltran, V. (2020). Evaluating worksharing tasks on distributed environments.

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
RELATED PUBLICATIONS
Silfa, F.A.; Dot, G.; Arnau, J.; Gonzalez, A. (2018). E-PUR: an energy-efficient processing unit for recurrent neural networks.

Silfa, F.A.; Dot, G.; Arnau, J.; Gonzalez, A. (2019). Neuron-level fuzzy memoization in RNNs.

Silfa, F.A.; Arnau, J.; Gonzalez, A. (2020). Boosting LSTM Performance Through Dynamic Precision Selection.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Buchaca, D.; Bernal, J.; Carrera, D. (2018). Automatic generation of workload profiles using unsupervised learning pipelines. - IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2018: 4.682; Quartil: Q1)

Romero, E.; Mazzanti, F.; Delgado, J.; Buchaca, D. (2019). Weighted contrastive divergence. - Neural networks, ISSN: 0893-6080 (JCR Impact Factor-2019: 5.535; Quartil: Q1)

Jaksic, Z.; Cadenelli, N.; Buchaca, D.; Polo, J.; Berral, J.; Carrera, D. (2020). A highly parameterizable framework for Conditional Restricted Boltzmann Machine based workloads accelerated with FPGAs and OpenCL. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Gutierrez-Torre, A.; Berral, J.; Buchaca, D.; Guevara, M.; Soret, A.; Carrera, D. (2020). Improving maritime traffic emission estimations on missing data with CRBMs. - Engineering applications of artificial intelligence, ISSN: 0952-1976 (JCR Impact Factor-2018: 3.526; Quartil: Q1)

Buchaca, D.; Marcual, J.; Berral, J.; Carrera, D. (2020). Sequence-to-sequence models for workload interference prediction on batch processing datacenters. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Buchaca, D.; Albuquerque, F.; Costa, C.; Berral, J. (2020). You only run once: Spark auto-tuning from a single run. - IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2019: 3.878; Quartil: Q1)

Buchaca, D.; Berral, J.; Wang, C.; Youssef, A. (2020). Proactive container auto-scaling for cloud native machine learning services.

AUTHOR:CAHENY, PAUL
Title:Runtime-assisted coherent caching
Reading date:22/12/2020
Director:MORETÓ PLANAS, MIQUEL
Co-director:ÁLVAREZ MARTÍ, LLUC
Mention:No
RELATED PUBLICATIONS
Caheny, P.; Alvarez, L.; Derradji, S.; Valero, M.; Moreto, M.; Casas, M. (2018). Reducing cache coherence traffic with a NUMA-aware runtime approach. - IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2018: 3.402; Quartil: Q1)

Caheny, P.; Casas, M.; Moreto, M.; Gloaguen, H.; Saintes, M.; Ayguade, E.; Labarta, J.; Valero, M. (2016). Reducing cache coherence traffic with hierarchical directory cache and NUMA-aware runtime scheduling.

Caheny, P.; Alvarez, L.; Valero, M.; Moreto, M.; Casas, M. (2018). Runtime-assisted cache coherence deactivation in task parallel programs.

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
RELATED PUBLICATIONS
Campos, V.; Giro, X.; Jou, B.; Torres, J.; Chang, S. (2018). Sentiment concept embedding for visual affect recognition.

Campos, V.; Sastre, F.; Yagües, M.; Bellver, M.; Giro, X.; Torres, J. (2017). Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. - Procedia computer science, ISSN: 1877-0509 (JCR Impact Factor-2017: 0.258; Quartil: )

Campos, V.; Jou, B.; Giro, X. (2017). From pixels to sentiment: fine-tuning CNNs for visual sentiment prediction. - Image and vision computing, ISSN: 0262-8856 (JCR Impact Factor-2017: 2.159; Quartil: Q1)

Fernàndez, D.; Campos, V.; Jou, B.; Giro, X.; Chang, S.-F. (2016). Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction.

Campos, V.; Sastre, F.; Yagües, M.; Torres, J.; Giro, X. (2017). Scaling a convolutional neural network for classification of adjective noun pairs with TensorFlow on GPU clusters.

Fernàndez, D.; Woodward, A.; Campos, V.; Giro, X.; Jou, B.; Chang, S. (2017). More cat than cute?: interpretable prediction of adjective-noun pairs.

Campos, V.; Giro, X.; Torres, J. (2018). Importance weighted evolution strategies.

Campos, V.; Jou, B.; Giro, X.; Torres, J.; Chang, S. (2018). Skip RNN: learning to skip state updates in recurrent neural networks.

Fojo, D.; Campos, V.; Giro, X. (2018). Comparing fixed and adaptive computation time for recurrent neural networks.

Arpit, D.; Campos, V.; Bengio, Y. (2019). How to initialize your network? Robust initialization for WeightNorm & ResNets.

Campos, V.; Trott, A.; Xiong, C.; Socher, R.; Giro, X.; Torres, J. (2020). Explore, discover and learn: unsupervised discovery of state-covering skills.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J. (2017). Aging assessment and design enhancement of randomized cache memories. - IEEE transactions on device and materials reliability, ISSN: 1530-4388 (JCR Impact Factor-2017: 1.512; Quartil: Q3)

Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J. (2019). Worst-case energy consumption: A new challenge for battery-powered critical devices. - IEEE transactions on sustainable computing, ISSN: 2377-3782

Trilla, D.; Cazorla, F. J.; Hernández, C.; Abella, J. (2019). Randomization for safer, more reliable and secure, high-performance automotive processors. - IEEE design & test, ISSN: 2168-2356 (JCR Impact Factor-2019: 2.409; Quartil: Q2)

Trilla, D.; Jalle, J.; Fernández, M.; Abella, J.; Cazorla, F. J. (2016). Improving early design stage timing modeling in multicore based real-time systems.

Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J. (2018). Cache side-channel attacks and time-predictability in high-performance critical real-time systems.

Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J. (2019). Modeling the impact of process variations in worst-case energy consumption estimation.

Trilla, D.; Hernández, C.; Abella, J.; Cazorla, F. J. (2019). An approach for detecting power peaks during testing and breaking systematic pathological behavior.

AUTHOR:CIACCIA, FRANCESCO
Title:Definition of new WAN paradigms enabled by smart measurements
Reading date:04/12/2020
Director:SERRAL GRACIÀ, RENÉ
Co-director:NEMIROVSKY, MARIO DANIEL
Mention:Doctorat Industrial
RELATED PUBLICATIONS
Ciaccia, F.; Arcas, O.; Montero, D.; Romero, I.; Milito, R.; Serral, R.; Nemirovsky, M. (2019). Improving TCP performance and reducing self-induced congestion with receive window modulation.

Ciaccia, F.; Romero, I.; Arcas, O.; Montero, D.; Serral, R.; Nemirovsky, M. (2020). SABES: Statistical Available Bandwidth EStimation from passive TCP measurements.

Ciaccia, F.; Romero, I.; Serral, R.; Nemirovsky, M. (2020). HIRE: Hidden Inter-packet Red-shift Effect.

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
RELATED PUBLICATIONS
Dimic, V.; Moreto, M.; Casas, M.; Valero, M. (2017). Runtime-assisted shared cache insertion policies based on re-reference intervals.

Dimic, V.; Moreto, M.; Casas, M.; Ciesko, J.; Valero, M. (2020). RICH: implementing reductions in the cache hierarchy.

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, JAVIER
Mention:No
RELATED PUBLICATIONS
Sengupta, S. (2018). Resource management strategy in the Fog-to-Cloud system.

Sengupta, S.; Garcia, J.; Masip, X. (2019). Essentiality of managing the resource information in the coordinated fog-to-cloud paradigm. - International journal of communication systems, ISSN: 1074-5351 (JCR Impact Factor-2019: 1.319; Quartil: Q3)

Sengupta, S.; Garcia, J.; Masip, X. (2018). An architecture for resource management in a fog-to-cloud framework.

Sengupta, S.; Garcia, J.; Masip, X. (2018). Essentiality of resource and service-task characterization in the coordinated fog-to-cloud paradigm.

Sengupta, S.; Garcia, J.; Masip, X. (2018). Taxonomy and resource modeling in combined fog-to-cloud systems.

Sengupta, S.; Garcia, J.; Masip, X.; Prieto, A. (2019). An architectural schema for performance prediction using machine learning in the fog-to-cloud paradigm.

Sengupta, S.; Kahvazadeh, S.; Masip, X.; Garcia, J. (2019). SFDDM: a secure distributed database management in combined fog-to-cloud systems.

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
RELATED PUBLICATIONS
Riera, M. (2016). Resilient, Low-Power Accelerators for Cognitive Computing.

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 (2018). SyRA: early system reliability analysis for cross-layer soft errors resilience in memory arrays of microprocessor systems. - IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2018: 3.131; Quartil: Q1)

Riera, M.; Arnau, J.; Gonzalez, A. (2019). CGPA: Coarse-Grained Pruning of Activations for Energy-Efficient RNN Inference. - IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2019: 3.172; Quartil: Q1)

Riera, M.; Canal, R.; Abella, J.; Gonzalez, A. (2016). A detailed methodology to compute soft error rates in advanced technologies.

Vallero, A.; Savino, A.; Politano, G.; Stefano Di Carlo; Chatzidimitriou, A.; Tselonis, S.; Kaliorakis, M.; Gizipoulos, D.; Riera, M.; Canal, R.; Gonzalez, A.; Kooli, M.; Bosio, A.; Di Natale, G. (2016). Cross-layer system reliability assessment framework for hardware faults.

Riera, M.; Arnau, J.; Gonzalez, A. (2018). Computation reuse in DNNs by exploiting input similarity.

Yazdani, R.; Riera, M.; Arnau, J.; Gonzalez, A. (2018). The dark side of DNN pruning.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Amela, R.; Cristián Ramón-Cortés Vilarrodona; Ejarque, J.; Conejero, J.; Badia, R.M. (2018). Executing linear algebra kernels in heterogeneous distributed infrastructures with PyCOMPSs. - Oil and gas science and technology. Revue de l'Institut Français du Pétrole, ISSN: 1294-4475 (JCR Impact Factor-2018: 1.867; Quartil: Q1)

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

Cristián Ramón-Cortés Vilarrodona; Amela, R.; Ejarque, J.; Clauss, P.; Badia, R.M. (2020). AutoParallel: Automatic parallelisation and distributed execution of affine loop nests in Python. - The international journal of high performance computing applications (IJHPCA), ISSN: 1741-2846 (JCR Impact Factor-2018: 1.956; Quartil: Q2)

Cristián Ramón-Cortés Vilarrodona; Lordan, F.; Ejarque, J.; Badia, R.M. (2020). A programming model for hybrid workflows: combining task-based workflows and dataflows all-in-one. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Amela, R.; Cristián Ramón-Cortés Vilarrodona; Ejarque, J.; Conejero, J.; Badia, R.M. (2017). Enabling Python to execute efficiently in heterogeneous distributed infrastructures with PyCOMPSs.

Conejero, J.; Cristián Ramón-Cortés Vilarrodona; Serradell, K.; Badia, R.M. (2018). Boosting atmospheric dust forecast with PyCOMPSs.

AUTHOR:REJIBA, ZEINEB
Title:Mobility-aware mechanisms for fog node discovery and selection
Reading date:10/09/2020
Director:MASIP BRUIN, JAVIER
Co-director:MARIN TORDERA, EVA
Mention:No
RELATED PUBLICATIONS
Rejiba, Z. (2018). Design and optimization of discovery and migration strategies for combined Fog-to-Cloud scenarios.

Rejiba, Z.; Masip, X.; Marin, E. (2019). A survey on mobility-induced service migration in the fog, edge, and related computing paradigms. - ACM computing surveys, ISSN: 0360-0300 (JCR Impact Factor-2019: 7.99; Quartil: Q1)

Rejiba, Z.; Masip, X.; Alejandro Jurnet Bolarin; Marin, E.; Ren, G.; Marin-Tordera, E. (2018). F2C-Aware: Enabling Discovery in Wi-Fi-Powered Fog-to-Cloud (F2C) Systems.

Rejiba, Z.; Masip, X.; Marin, E.; Marin-Tordera, E. (2018). Analyzing the Deployment Challenges of Beacon Stuffing as a Discovery Enabler in Fog-to-Cloud Systems.

Rejiba, Z.; Masip, X.; Marin, E. (2018). A Beacon-assisted direction-aware scanning scheme for 802.11-based discovery in Fog-to-Cloud systems.

Rejiba, Z.; Masip, X.; Marin, E. (2018). Towards a context-aware Wi-Fi-based Fog Node discovery scheme using cellular footprints.

Rejiba, Z.; Masip, X.; Marin, E. (2019). A user-centric mobility management scheme for high-density fog computing deployments.

Rejiba, Z.; Masip, X.; Marin, E. (2019). Computation task assignment in vehicular fog computing: a learning approach via neighbor advice.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Suarez-varela, J. (2017). Measurements in SDN-Based Networks Including Traffic Classification and Performance Evaluation.

Suarez-varela, J.; Barlet, P. (2018). Flow monitoring in software-defined networks: finding the accuracy/performance tradeoffs. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2018: 3.03; Quartil: Q1)

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

Rusek, K.; Suarez-varela, J.; Almasan, P.; Barlet, P.; Albert Cabellos-Aparicio (2020). RouteNet: leveraging graph neural networks for network modeling and optimization in SDN. - IEEE journal on selected areas in communications, ISSN: 0733-8716 (JCR Impact Factor-2019: 11.42; Quartil: Q1)

Suarez-varela, J.; Barlet, P.; Carela, V. (2017). A NetFlow/IPFIX implementation with OpenFlow.

Suarez-varela, J.; Barlet, P. (2017). A QoE-aware management system for Software-Defined Networks.

Suarez-varela, J.; Barlet, P. (2017). Towards a NetFlow implementation for OpenFlow software-defined networks.

Suarez-varela, J.; Barlet, P. (2018). SBAR: SDN flow-based monitoring and application recognition.

Suarez-varela, J.; Barlet, P.; Mestres, A.; Albert Cabellos-Aparicio (2018). QoE-aware network management based on Deep Reinforcement Learning.

Suarez-varela, J.; Barlet, P. (2018). Towards accurate classification of HTTPS traffic in Software-Defined Networks.

Suarez-varela, J.; Mestres, A.; Yu, J.; Kuang, L.; Feng, H.; Barlet, P.; Albert Cabellos-Aparicio (2019). Routing based on deep reinforcement learning in optical transport networks.

Rusek, K.; Suarez-varela, J.; Mestres, A.; Barlet, P.; Albert Cabellos-Aparicio (2019). Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN.

Suarez-varela, J.; Mestres, A.; Yu, J.; Kuang, L.; Feng, H.; Barlet, P.; Albert Cabellos-Aparicio (2019). Feature engineering for deep reinforcement learning based routing.

Zayuelas, J.; Suarez-varela, J.; Barlet, P. (2019). Detecting cryptocurrency miners with NetFlow/IPFIX network measurements.

Suarez-varela, J.; Carol, S.; Rusek, K.; Almasan, P.; Arias, M.; Barlet, P.; Albert Cabellos-Aparicio (2019). Challenging the generalization capabilities of Graph Neural Networks for network modeling.

Badia, A.; Suarez-varela, J.; Almasan, P.; Rusek, K.; Barlet, P.; Albert Cabellos-Aparicio (2019). Towards more realistic network models based on Graph Neural Networks.

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
RELATED PUBLICATIONS
Anglada, M. (2016). New Architectural Solutions for Resilient, Low-Power GPU.

Joseph, Diya (2019). Microarchitectural Simulator for Shader Cores in a Modern GPU Simulation Infrastructure.

Anglada, M.; Canal, R.; Aragon, J.; Gonzalez, A. (2016). MASkIt: soft error rate estimation for combinatorial circuits.

Anglada, M.; de Lucas, E.; Parcerisa, Joan-Manuel; Aragón, Juan L.; Marcuello, P.; Gonzalez, A. (2019). Rendering elimination: early discard of redundant tiles in the graphics pipeline.

Anglada, M.; de Lucas, E.; Parcerisa, Joan-Manuel; Aragón, Juan L.; Gonzalez, A. (2019). Early visibility resolution for removing ineffectual computations in the graphics pipeline.

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
RELATED PUBLICATIONS
Repchevsky, D.; Naro, D.; Royo, R.; Llorente, S.; Gelpi, J.L.; Delgado, J. (2018). GENCOM: Contributing to MPEG-G data format creation and adoption.

Repchevsky, D.; Naro, D.; Royo, R.; Llorente, S.; Delgado, J.; Gelpi, J.L. (2019). jmpegg 1.0 – the pure java implementation of the MPEG-G ISO/IEC 23092 standard.

Naro, D. (2017). Security Strategies in Genomic Files.

Delgado, J.; Llorente, S.; Naro, D. (2017). Protecting privacy of genomic information. - Studies in health technology and informatics, ISSN: 0926-9630 (JCR Impact Factor-2017: 0.236; Quartil: Q3)

Delgado, J.; Naro, D.; Llorente, S.; Gelpi, J.L.; Royo, R. (2018). Metadata to describe genomic information. - Studies in health technology and informatics, ISSN: 0926-9630 (JCR Impact Factor-2018: 0.25; Quartil: Q3)

Delgado, J.; Llorente, S.; Naro, D. (2019). Adding security and privacy to genomic information representation. - Studies in health technology and informatics, ISSN: 0926-9630 (JCR Impact Factor-2019: 0.267; Quartil: Q3)

Naro, D.; Delgado, J.; Llorente, S. (2020). Reversible fingerprinting for genomic information. - Multimedia tools and applications, ISSN: 1380-7501 (JCR Impact Factor-2019: 2.313; Quartil: Q2)

Delgado, J.; Llorente, S.; Naro, D.; Torres, L.; Tarres, F. (2018). Representing compressed and secure genomic information.

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
RELATED PUBLICATIONS
Sembroiz, D.; Ricciardi, S.; Careglio, D. (2017). A Novel Cloud-Based IoT Architecture for Smart Building Automation.

Sembroiz, D. (2016). Design and development of an interoperable loT platform for automatic actuation in buildings.

Sembroiz, D. (2016). Ambient Intelligence in buildings: design and development of an interoperable IoT platform.

Ricciardi, S.; Sembroiz, D.; Palmieri, F.; Germán Santos-Boada; Perello, J.; Careglio, D. (2015). A hybrid load-balancing and energy-aware RWA algorithm for telecommunication networks. - Computer communications, ISSN: 0140-3664 (JCR Impact Factor-2015: 2.099; Quartil: Q1)

Sembroiz, D.; Careglio, D.; Ricciardi, S.; Fiore, U. (2019). Planning and operational energy optimization solutions for smart buildings. - Information sciences, ISSN: 0020-0255 (JCR Impact Factor-2019: 5.91; Quartil: Q1)

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

AUTHOR:CADENELLI, NICOLA
Title:Hardware/software co-design for data-intensive genomics workloads
Reading date:19/12/2019
Tutor/a:BECERRA FONTAL, YOLANDA
Director:CARRERA PÉREZ, DAVID
Co-director:POLO BARDÉS, JORDÀ
Mention:No
RELATED PUBLICATIONS
Cadenelli, N.; Jaksic, Z.; Polo, J.; Carrera, D. (2019). Considerations in using OpenCL on GPUs and FPGAs for throughput-oriented genomics workloads. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2019: 6.125; Quartil: Q1)

Cadenelli, N.; Polo, J.; Carrera, D. (2018). Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory.

AUTHOR:MARRÓN VIDA, DIEGO
Title:Improving decision tree and neural network learning for evolving data-streams
Reading date:19/12/2019
Director:AYGUADÉ PARRA, EDUARD
Co-director:BIFET FIGUEROL, ALBERT CARLES
Mention:No
RELATED PUBLICATIONS
Marron, D. (2016). Efficient Neural Networks for Real-Time Analysis.

Marron, D.; Read, J.; Bifet, A.; Navarro, N. (2017). Data stream classification using random feature functions and novel method combinations. - Journal of systems and software, ISSN: 0164-1212 (JCR Impact Factor-2017: 2.278; Quartil: Q1)

Marron, D.; Read, J.; Bifet, A.; Abdessalem, T.; Ayguade, E.; Herrero, J. (2016). Echo state hoeffding tree learning.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Milutinovic, S.; Abella, J.; Cazorla, F. J. (2017). On the assessment of probabilistic WCET estimates reliability for arbitrary programs. - Eurasip journal on embedded systems, ISSN: 1687-3955 (JCR Impact Factor-2017: 0.128; Quartil: Q4)

Milutinovic, S.; Mezzetti, Enrico; Abella, J.; Cazorla, F. J. (2019). Increasing the reliability of software timing analysis for cache-based processors. - IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2019: 2.711; Quartil: Q2)

Milutinovic, S.; Abella, J.; Cazorla, F. J. (2016). Modelling probabilistic cache representativeness in the presence of arbitrary access patterns.

Milutinovic, S.; Abella, J.; Mezzetti, Enrico; Cazorla, F. J. (2018). Measurement-based cache representativeness on multipath programs.

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
RELATED PUBLICATIONS
Baig, S.; Iqbal, W.; Berral, J.; Erradi, A.; Carrera, D. (2019). Adaptive prediction models for data center resources utilization estimation. - IEEE transactions on network and service management, ISSN: 1932-4537 (JCR Impact Factor-2019: 3.878; Quartil: Q1)

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

Baig, S.; Iqbal, W.; Berral, J.; Carrera, D. (2020). Adaptive sliding windows for improved estimation of data center resource utilization. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Baig, S.; Amaral, M.; Polo, J.; Carrera, D. (2018). Performance characterization of spark workloads on shared NUMA Systems.

AUTHOR:ZHUANG, SICONG
Title:Communication reduction techniques in numerical methods and deep neural networks
Reading date:28/11/2019
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:CASAS GUIX, MARC
Mention:No
RELATED PUBLICATIONS
Pietri, I.; Zhuang, S.; Casas, M.; Moreto, M.; Sakellariou, R. (2017). Evaluating scientific workflow execution on an asymmetric multicore processor.

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
RELATED PUBLICATIONS
Garrido, L.; Nishtala, R.; Carpenter, P. (2019). Continuous-action reinforcement learning for memory allocation in virtualized servers.

Garrido, L.; Nishtala, R.; Carpenter, P. (2019). SmarTmem: Intelligent management of transcendent memory in a virtualized server.

AUTHOR:FAS MILLÁN, MIGUEL ÁNGEL
Title:ConOps for a safe integration of multi-RPAS operations in civil airspace
Reading date:22/11/2019
Director:PASTOR LLORENS, ENRIQUE
Mention:No
RELATED PUBLICATIONS
Fas, M. (2016). Management, Efficiency and Safety in a Many-to-Many Pilot-RPAS Relationship Scenario.

Fas, M.; Pastor, E. (2019). NtoM: a concept of operations for pilots of multiple remotely piloted aircraft. - International Review of Aerospace Engineering (IREASE), ISSN: 1973-7459 (JCR Impact Factor-2019: 0.618; Quartil: Q1)

Fas, M.; Pastor, E. (2019). Controller-pilot data link communications display oriented to multiple remotely piloted aircraft systems pilots. - International Review of Aerospace Engineering (IREASE), ISSN: 1973-7459 (JCR Impact Factor-2019: 0.618; Quartil: Q1)

Fas, M.; Pastor, E. (2019). Dynamic workload management for multi-RPAS pilots. - International Review of Aerospace Engineering (IREASE), ISSN: 1973-7459 (JCR Impact Factor-2019: 0.618; Quartil: Q1)

AUTHOR:BAIG VIÑAS, ROGER
Title:Development and management of collective network and cloud computing infrastructures
Reading date:18/11/2019
Director:NAVARRO MOLDES, LEANDRO
Mention:No
RELATED PUBLICATIONS
Baig, R.; Roca, R.; Freitag, F.; Navarro, L. (2015). guifi.net, a crowdsourced network infrastructure held in common. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2015: 1.446; Quartil: Q2)

Vega, D.; Baig, R.; Cerdà, L.; Medina, E.; Meseguer, R.; Navarro, L. (2015). A technological overview of the guifi.net community network. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2015: 1.446; Quartil: Q2)

Navarro, L.; Baig, R.; Barz, C.; Bonicioli, J.; Braem, B.; Freitag, F.; Vilalta i Balaguer, I. (2016). Advances in wireless community networks with the community-lab testbed. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2016: 10.435; Quartil: Q1)

Micholia, P.; Karaliopoulos, M.; Koutsopoulos, I.; Navarro, L.; Baig, R.; Boucas, D.; Michalis, M.; Antoniadis, P. (2018). Community networks and sustainability: a survey of perceptions, practices, and proposed solutions. - IEEE communications surveys & tutorials, ISSN: 1553-877X (JCR Impact Factor-2018: 22.973; Quartil: Q1)

Baig, R.; Freitag, F.; Navarro, L. (2018). Cloudy in guifi.net: Establishing and sustaining a community cloud as open commons. - Future generation computer systems, ISSN: 0167-739X (JCR Impact Factor-2018: 5.768; Quartil: Q1)

Baig, R.; Freitag, F.; Moll, A.; Navarro, L.; Roger Pueyo Centelles; Roca, R. (2015). From sustainable community networks to sustainable community clouds.

Baig, R.; Freitag, F.; Moll, A.; Navarro, L.; Roger Pueyo Centelles; Vlassov, V. (2016). Community network clouds as a case for the IEEE Intercloud standardization.

Baig, R.; Freitag, F.; Navarro, L. (2016). On the sustainability of community clouds in guifi.net.

Baig, R.; Roger Pueyo Centelles; Freitag, F.; Navarro, L. (2017). On edge microclouds to provide local container-based services.

AUTHOR:MUTLU, BURCU
Title:An extensive study on iterative solver resilience: characterization, detection and prediction
Reading date:12/11/2019
Tutor/a:CRISTAL KESTELMAN, ADRIAN
Director:UNSAL, OSMAN SABRI
Co-director:KESTOR, GOKCEN
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Mutlu, B.; Kestor, G.; Cristal, A.; Unsal, O.; Krishnamoorthy, S. (2019). Ground-truth prediction to accelerate soft-error impact analysis for iterative methods.

AUTHOR:KAHVAZADEH, SARANG
Title:Security architecture for Fog-To-Cloud continuum system
Reading date:12/11/2019
Director:MASIP BRUIN, JAVIER
Co-director:MARIN TORDERA, EVA
Mention:No
RELATED PUBLICATIONS
Gomez, A.; Masip, X.; Marin, E.; Kahvazadeh, S. (2019). Resource identification in fog-to-cloud systems: toward an identity management strategy. - Journal of Reliable Intelligent Environments, ISSN: 2199-4676 (JCR Impact Factor-2019: 0.441; Quartil: Q2)

Kahvazadeh, S.; Barbosa, V.; Masip, X.; Marin, E.; Garcia, J.; Diaz, R. (2017). Securing combined Fog-to-Cloud system through SDN approach.

Kahvazadeh, S.; Barbosa, V.; Masip, X.; Marin, E.; Garcia, J.; Diaz, R. (2017). An SDN-based architecture for security provisioning in Fog-to-Cloud (F2C) computing systems.

Gomez, A.; Masip, X.; Marin, E.; Kahvazadeh, S.; Garcia, J. (2018). A hash-based naming strategy for the fog-to-cloud computing paradigm.

Gomez, A.; Masip, X.; Marin, E.; Kahvazadeh, S.; Garcia, J. (2018). A Resource Identity Management Strategy for Combined Fog-to-Cloud Systems.

Kahvazadeh, S.; Masip, X.; Diaz, R.; Marin, E.; Alejandro Jurnet Bolarin; Garcia, J. (2018). Towards an efficient key management and authentication strategy for combined fog-to-cloud continuum systems.

Gomez, A.; Masip, X.; Marin, E.; Kahvazadeh, S. (2018). A novel and scalable naming strategy for IoT scenarios.

Kahvazadeh, S.; Masip, X.; Diaz, R.; Marin, E.; Alejandro Jurnet Bolarin; Garcia, J.; Juan Ferrer, A.; Simo, E. (2019). Balancing security guarantees vs QoS provisioning in combined fog-to-cloud systems.

Kahvazadeh, S.; Masip, X.; Marin, E.; Gomez, A. (2019). Securing combined Fog-to-Cloud systems: challenges and directions.

Kahvazadeh, S.; Masip, X.; Marcer, P.; Marin, E. (2020). Deploying fog-to-cloud towards a security architecture for critical infrastructure scenarios.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Capdevila, J.; Pericacho, G.; Torres, J.; Cerquides, J. (2016). Scaling DBSCAN-like algorithms for event detection systems in Twitter.

Capdevila, J.; Cerquides, J.; Torres, J. (2017). Event detection in location-based social networks.

Capdevila, J. (2015). Large-scale Bayesian learning for event discovery in Location-based Social Networks.

Pericacho Sánchez, Gonzalo (2016). Retroespective event detection from tweets thorugh MR-DBSCAN in Spark.

Capdevila, J.; Arias, M.; Arratia, A. (2016). GeoSRS: a hybrid social recommender system for geolocated data. - Information systems, ISSN: 0306-4379 (JCR Impact Factor-2016: 2.777; Quartil: Q2)

Capdevila, J.; Cerquides, J.; Nin, J.; Torres, J. (2017). Tweet-SCAN: an event discovery technique for geo-located tweets. - Pattern recognition letters, ISSN: 0167-8655 (JCR Impact Factor-2017: 1.952; Quartil: Q2)

Capdevila, J.; Zhao, H.; Petitjean, F.; Buntine, W. (2018). Experiments with learning graphical models on text. - Behaviormetrika, ISSN: 1349-6964

Capdevila, J.; Cerquides, J.; Torres, J. (2018). Mining urban events from the tweet stream through a probabilistic mixture model. - Data mining and knowledge discovery, ISSN: 1384-5810 (JCR Impact Factor-2018: 2.879; Quartil: Q2)

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
RELATED PUBLICATIONS
Villalba, Á.; Berral, J.; Carrera, D. (2019). Constant-time sliding window framework with reduced memory footprint and efficient bulk evictions. - IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2019: 2.6; Quartil: Q2)

Villalba, Á.; Carrera, D. (2018). Multi-tenant Pub/Sub processing for real-time data streams.

Villalba, Á.; Carrera, D. (2019). Constant-time approximate sliding window framework with error control.

AUTHOR:ASIFUZZAMAN, KAZI
Title:Evaluation of STT-MRAM main memory for HPC and real-time systems
Reading date:29/07/2019
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:RADOJKOVIC, PETAR
Mention:No
RELATED PUBLICATIONS
Asifuzzaman, K.; Pavlovic, M.; Radulovic, M. (2016). Performance impact of a slower main memory : a case study of STT-MRAM in HPC.

Radulovic, M.; Asifuzzaman, K.; Zivanovic, D.; Rajovic, N.; Colin de Verdiére, G.; Pleiter, D.; Marazakis, M.; Kallimanis, N.; Carpenter, P.; Radojkovic, Petar; Ayguade, E. (2018). Mainstream vs. emerging HPC: metrics, trade-offs and lessons learned.

Radulovic, M.; Asifuzzaman, K.; Carpenter, P.; Radojkovic, Petar; Ayguade, E. (2018). HPC benchmarking: scaling right and looking beyond the average.

Sanchez, R.; Asifuzzaman, K.; Radulovic, M.; Radojkovic, Petar; Ayguade, E.; Jacob, B. (2018). Main memory latency simulation: the missing link.

Asifuzzaman, K.; Fernández, M.; Radojkovic, Petar; Abella, J.; Cazorla, F. J. (2019). STT-MRAM for real-time embedded systems: performance and WCET implications.

AUTHOR:YAZDANI AMINABADI, REZA
Title:Ultra low-power, high-performance accelerator for speech recognition
Reading date:25/07/2019
Director:ARNAU MONTAÑES, JOSÉ MARÍA
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No
RELATED PUBLICATIONS
Yazdani, R. (2016). Ultra Low-Power, High-Permormance Accelerators for Speech Recognition.

Yazdani, R.; Arnau, J.; Gonzalez, A. (2019). A low-power, high-performance speech recognition accelerator. - IEEE transactions on computers, ISSN: 0018-9340 (JCR Impact Factor-2019: 2.711; Quartil: Q2)

Hosseini, S.; Yazdani, R.; de la Fuente, A. (2020). Multi-objective interior design optimization method based on sustainability concepts for post-disaster temporary housing units. - Building and environment , ISSN: 0360-1323 (JCR Impact Factor-2018: 4.82; Quartil: Q1)

Yazdani, R.; Arnau, J.; Gonzalez, A. (2017). UNFOLD: a memory-efficient speech recognizer using on-the-fly WFST composition.

Yazdani, R.; Arnau, J.; Gonzalez, A. (2019). Leveraging run-time feedback for efficient ASR acceleration.

AUTHOR:JAULMES, LUC ÉTIENNE
Title:Exploiting task-based programming models for resilience
Reading date:21/06/2019
Director:CASAS GUIX, MARC
Co-director:MORETÓ PLANAS, MIQUEL
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Jaulmes, L.; Casas, M.; Moreto, M.; Ayguade, E.; Labarta, J.; Valero, M. (2015). Exploiting asynchrony from exact forward recovery for DUE in iterative solvers.

Jaulmes, L.; Casas, M.; Moreto, M.; Ayguade, E.; Labarta, J.; Valero, M. (2018). Asynchronous and exact forward recovery for detected errors in iterative solvers. - IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2018: 3.402; Quartil: Q1)

Casas, M.; Moreto, M.; Alvarez, L.; Castillo, E.; Chasapis, D.; Hayes, T.; Jaulmes, L.; Palomar, O.; Unsal, O.; Cristal, A.; Ayguade, E.; Labarta, J.; Valero, M. (2015). Runtime-aware architectures.

Jaulmes, L.; Moreto, M.; Valero, M.; Casas, M. (2019). A vulnerability factor for ECC-protected memory.

Jaulmes, L.; Moreto, M.; Valero, M.; Erez, M.; Casas, M. (2020). Runtime-guided ECC protection using online estimation of memory vulnerability.

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
RELATED PUBLICATIONS
Zivanovic, D.; Pavlovic, M.; Radulovic, M.; Shin, H.; Son, J.; McKee, S.; Carpenter, P.; Radojkovic, Petar; Ayguade, E. (2017). Main memory in HPC: do we need more, or could we live with less?. - ACM transactions on architecture and code optimization, ISSN: 1544-3566 (JCR Impact Factor-2017: 1.131; Quartil: Q2)

Radulovic, M.; Sanchez, R.; Carpenter, P.; Radojkovic, Petar; Jacob, B.; Ayguade, E. (2019). PROFET: modeling system performance and energy without simulating the CPU. - Proceedings of the ACM on Measurement and Analysis of Computing Systems, ISSN:

Radulovic, M.; Zivanovic, D.; Ruiz, D.; De Supinski, B.; McKee, S.; Radojkovic, Petar; Ayguade, E. (2015). Another trip to the wall: how much will stacked DRAM benefit HPC?.

Zivanovic, D.; Radulovic, M.; Llort, G.; Zaragoza, D.; Strassburg, J.; Carpenter, P.; Radojkovic, Petar; Ayguade, E. (2016). Large-memory nodes for energy efficient high-performance computing.

AUTHOR:CASTILLO VILLAR, EMILIO
Title:Parallel architectures and runtime systems co-design for task-based programming models
Reading date:29/04/2019
Director:MORETÓ PLANAS, MIQUEL
Co-director:BEIVIDE PALACIO, JULIO RAMON
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Alvarez, L.; Moreto, M.; Casas, M.; Castillo, E.; Martorell, X.; Labarta, J.; Ayguade, E.; Valero, M. (2015). Runtime-guided management of scratchpad memories in multicore architectures.

AUTHOR:CHASAPIS, DIMITRIOS
Title:Towards resource-aware computing for task-based runtimes and parallel architectures
Reading date:24/04/2019
Director:CASAS GUIX, MARC
Co-director:MORETÓ PLANAS, MIQUEL
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Chasapis, D.; Casas, M.; Moreto, M.; Vidal, R.; Ayguade, E.; Labarta, J.; Valero, M. (2015). PARSECSs: Evaluating the impact of task parallelism in the PARSEC benchmark suite. - ACM transactions on architecture and code optimization, ISSN: 1544-3566 (JCR Impact Factor-2015: 0.585; Quartil: Q3)

Vidal, R.; Casas, M.; Moreto, M.; Chasapis, D.; Ferrer, R.; Martorell, X.; Ayguade, E.; Labarta, J.; Valero, M. (2015). Evaluating the impact of OpenMP 4.0 extensions on relevant parallel workloads.

Chasapis, D.; Casas, M.; Moreto, M.; Schulz, M.; Ayguade, E.; Labarta, J.; Valero, M. (2016). Runtime-guided mitigation of manufacturing variability in power-constrained multi-socket NUMA nodes.

Chasapis, D.; Moreto, M.; Schulz, M.; Rountree, B.; Valero, M.; Casas, M. (2019). Power efficient job scheduling by predicting the impact of processor manufacturing variability.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Serrano, M.; Royuela, S.; Marongiu, A.; Quiñones, E. (2018). Predictable parallel programming with OpenMP.

Serrano, M.; Royuela, S.; Quiñones, E. (2018). Towards an OpenMP specification for critical real-time systems.

Serrano, M.; Quiñones, E. (2018). Response-time analysis of DAG tasks supporting heterogeneous computing.

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:Mention de Doctor Internacional
RELATED PUBLICATIONS
Adetupe Osemwengie, Odiri (2018). Analysis and Simulation of Optical Switches for intra-Datacenter Networks.

P. Vela, Alba; Shariati, M.; Ruiz, M.; Cugini, F.; Castro, A.; Lu, H.; Proietti, R.; Comellas, J.; Castoldi, P.; Yoo, S.; Velasco, L. (2017). Soft failure localization during commissioning testing and lightpath operation. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2017: 2.742; Quartil: Q1)

Shariati, M.; Ruiz, M.; Comellas, J.; Velasco, L. (2018). Learning from the optical spectrum: failure detection and identification [Invited]. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2018: 4.162; Quartil: Q1)

Chaintoutis, C.; Shariati, M.; Bogris, A. (2018). Free space intra-datacenter interconnects based on 2D optical beam steering enabled by photonic integrated circuits. - Photonics, ISSN: 2304-6732 (JCR Impact Factor-2018: 0.681; Quartil: Q2)

Shariati, M.; Mastropaolo, A.; Diamantopoulos, N.-P.; Rivas-Moscoso, J.; Klonidis, D.; Tomkos, I. (2018). Physical-layer-aware performance evaluation of SDM networks based on SMF bundles, MCFs, and FMFs. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2018: 3.093; Quartil: Q1)

Velasco, L.; Shariati, M.; Boitier, F.; Layec, P.; Ruiz, M. (2019). Learning life cycle to speed up autonomic optical transmission and networking adoption. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2019: 3.425; Quartil: Q1)

Shariati, M.; Bogris, A.; Dijk, P.; roeloffzen C.; Tomkos, I.; Syvridis, D. (2018). Free space intra-datacenter interconnection utilizing 2D optical beam steering.

Gifré, L.; Izquierdo, J.; Shariati, M.; Velasco, L. (2018). Experimental demonstration of active and passive optical networks telemetry.

Velasco, L.; Shariati, M.; Vela, A.; Comellas, J.; Ruiz, M. (2018). Learning from the optical spectrum: soft-failure identification and localization.

Shariati, M.; Boitier, F.; Ruiz, M.; Layec, P.; Velasco, L. (2018). Autonomic transmission through pre-FEC BER degradation prediction based on SOP monitoring.

Shariati, M.; Fresi, F.; Ruiz, M.; Cugini, F.; Velasco, L. (2019). Optical signal tracking for robust PAM4 deployment in filterless metro network scenarios.

Shariati, M.; Ruiz, M.; Velasco, L. (2019). Out-of-field generic ML training with in-field specific adaptation to facilitate ML deployments.

Shariati, M.; Ruiz, M.; Comellas, J.; Velasco, L. (2019). Feature-based optical spectrum monitoring for failure detection and identification.

AUTHOR:OZEN, GÜRAY
Title:Compiler and runtime based parallelization & optimization for GPUs
Reading date:13/12/2018
Director:LABARTA MANCHO, JESUS JOSE
Co-director:AYGUADÉ PARRA, EDUARD
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Ozen, G. (2015). Code Generation Compiler and Smart Runtime for Heterogeneous System.

Ozen, G.; Ayguade, E.; Labarta, J. (2015). MACC: Mercurium ACCelerator model.

Ozen, G.; Ayguade, E.; Labarta, J. (2015). Exploring dynamic parallelism in OpenMP.

Ozen, G.; Ayguade, E.; Labarta, J. (2016). POSTER: Collective dynamic parallelism for directive based GPU programming languages and compilers.

Ozen, G.; Mateo, S.; Ayguade, E.; Labarta, J.; Beyer, J. (2016). Multiple target task sharing support for the OpenMP accelerator model.

AUTHOR:TAN, XUBIN
Title:Hardware runtime management for task-based programming models
Reading date:26/11/2018
Director:ALVAREZ MARTINEZ, CARLOS
Co-director:JIMENEZ GONZALEZ, DANIEL
Mention:No
RELATED PUBLICATIONS
Tan, X. (2015). Picos: A Task Data-flow Architecture for Fine-grained Parallelism.

Tan, X.; Bosch, Jaume; Jimenez, D.; Alvarez, C.; Ayguade, E.; Valero, M. (2016). Performance analysis of a hardware accelerator of dependence management for taskbased dataflow programming models.

AUTHOR:PÉREZ RICO, JUAN LUIS
Title:Orchestration of distributed ingestion and processing of IoT data for fog platforms
Reading date:26/11/2018
Director:CARRERA PÉREZ, DAVID
Mention:No
RELATED PUBLICATIONS
Perez, J. (2017). Orchestration of Distributed Ingestion and Processing of IoT Data for Fog Platforms.

AUTHOR:SALAMI, BEHZAD
Title:Aggressive undervolting of FPGAs: power & reliability trade-offs
Reading date:19/11/2018
Director:CRISTAL KESTELMAN, ADRIAN
Co-director:UNSAL, OSMAN SABRI
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Salami, B.; Malazgirt, G.; Arcas Abella, Oriol; Yurdakul, Arda; Sonmez, Nehir (2017). AxleDB: A novel programmable query processing platform on FPGA. - Microprocessors and microsystems, ISSN: 0141-9331 (JCR Impact Factor-2017: 1.049; Quartil: Q3)

Salami, B.; Unsal, O.; Cristal, A. (2018). A demo of FPGA aggressive voltage downscaling: power and reliability tradeoffs.

Salami, B.; Unsal, O.; Cristal, A. (2018). Fault characterization through FPGA undervolting.

Salami, B.; Unsal, O.; Cristal, A. (2019). Evaluating built-in ECC of FPGA on-chip memories for the mitigation of undervolting faults.

Gizopoulos, D.; Papadimitriou, G.; Chatzidimitriou, A.; Reddi, V.; Salami, B.; Unsal, O.; Cristal, A.; Leng, J. (2019). Modern hardware margins: CPUs, GPUs, FPGAs: recent system-level studies.

Melikoglu, O.; Ergin, O.; Salami, B.; Pavón, J.; Unsal, O.; Cristal, A. (2019). A novel FPGA-based high throughput accelerator for binary search trees.

AUTHOR:PÉREZ VELA, ALBA
Title:Bringing cognition to multilayer transport networks
Reading date:09/11/2018
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:RUIZ RAMÍREZ, MARC
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
P. Vela, Alba (2017). Combining Data Analytics and Optimization to Bring Cognition to the Telecom Cloud.

Cortez Ordoñez, Alexandra Piedad (2017). Visualización de datos para operadores de redes de comunicaciones de nueva generación.

Velasco, L.; P. Vela, Alba; Morales, F.; Ruiz, M. (2016). Designing, operating and reoptimizing elastic optical networks. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2016: 3.671; Quartil: Q1)

P. Vela, Alba; Ruiz, M.; Velasco, L. (2017). Distributing data analytics for efficient multiple traffic anomalies detection. - Computer communications, ISSN: 0140-3664 (JCR Impact Factor-2017: 2.613; Quartil: Q2)

Castro, A.; P. Vela, Alba; Gifre, L.; Proietti, R.; Cen, C.; Yin, J.; Chen, X.; Cao, Z.; Zhu, Z.; Mishra, V.; Velasco, L.; Yoo, S. (2016). Experimental demonstration of heterogeneous cross stratum broker for scientific applications.

P. Vela, Alba; Via, A.; Morales, F.; Ruiz, M.; Velasco, L. (2016). Traffic generation for telecom cloud-based simulation.

Ruiz, M.; Fresi, F.; P. Vela, Alba; Meloni, G.; Sambo, N.; Cugini, F.; Poti, L.; Velasco, L.; Castoldi, P. (2016). Service-triggered failure identification/localization through monitoring of multiple parameters.

P. Vela, Alba; Via, A.; Ruiz, M.; Velasco, L. (2016). Bringing data analytics to the network nodes.

P. Vela, Alba; Ruiz, M.; Velasco, L. (2016). Reducing virtual network reconfiguration and traffic losses under multiple traffic anomalies.

Gifre, L.; P. Vela, Alba; Ruiz, M.; López de Vergara, J.; Velasco, L. (2017). Experimental assessment of node and control architectures to support the observe - analyze - Act Loop.

P. Vela, Alba; Ruiz, M.; Fresi, F.; Sambo, N.; Cugini, F.; Velasco, L.; Castoldi, P. (2017). Early pre-FEC BER degradation detection to meet committed QoS.

P. Vela, Alba; Ruiz, M.; Velasco, L. (2017). Bringing data analytics to the network nodes for efficient traffic anomalies detection.

P. Vela, Alba; Ruiz, M.; Cugini, F.; Velasco, L. (2017). Combining a machine learning and optimization for early pre-FEC BER degradation to meet committed QoS.

P. Vela, Alba; Gifre, L.; González de Dios , O.; Ruiz, M.; Velasco, L. (2018). CASTOR: a monitoring and data analytics framework to help operators understand what is going on in their networks.

Esmenats, P.; Casellas Regi, Ramon; Gifré, L.; P. Vela, Alba; Ruiz, M.; Martínez, R.; Velasco, L. (2019). Autonomic NFV network services on top of disaggregated optical metro networks.

P. Vela, Alba; Ruiz, M.; Velasco, L. (2019). Visualization tools for enhancing failure localization [Invited].

P. Vela, Alba; Ruiz, M.; Velasco, L. (2019). Autonomous operations in optical networks.

AUTHOR:LORDAN GOMIS, FRANCESC-JOSEP
Title:Programming models for mobile environments
Reading date:20/07/2018
Director:BADIA SALA, ROSA MARIA
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Juan Ferrer, A.; Garcia, D.; Agiatzidou, E.; Lordan, F.; Ejarque, J.; Sirvent, R.; Badia, R.M.; Guitart, J.; Ortiz, D.; Macias, M.; Deprez, J.; Ponsard, C.; Temporale, C.; Panuccio, P.; Sommacampagna, D.; Blasi, L.; Djemame, K.; Armstrong, D.; Kammer, M. (2014). ASCETiC: adapting service lifeCycle towards efficienT clouds.

Lordan, F. (2015). Programming Models for Mobile Environments.

Badia, R.M.; Conejero, J.; Diaz, C.; Ejarque, J.; Lezzi, D.; Lordan, F.; Cristián Ramón-Cortés Vilarrodona; Sirvent, R. (2015). COMP Superscalar, an interoperable programming framework. - SoftwareX, ISSN: 2352-7110

Lordan, F.; Badia, R.M. (2017). COMPSs-Mobile: parallel programming for mobile cloud computing. - Journal of grid computing, ISSN: 1570-7873 (JCR Impact Factor-2017: 2.8; Quartil: Q1)

Lordan, F.; Jensen, J.; Badia, R.M. (2017). Towards mobile cloud computing with single sign-on access. - Journal of grid computing, ISSN: 1570-7873 (JCR Impact Factor-2017: 2.8; Quartil: Q1)

Djemame, K.; Armstrong, D.; Kavanagh, R.; Juan Ferrer, A.; Garcia, D.; Antona, D.; Deprez, J.; Ponsard, C.; Ortiz, D.; Macias, M.; Guitart, J.; Lordan, F.; Ejarque, J.; Sirvent, R.; Badia, R.M.; Kammer, M.; Kao, O.; Agiatzidou, E.; Dimakis, A.; Courcoubetis, C.; Blasi, L. (2014). Energy efficiency embedded service lifecycle: Towards an energy efficient cloud computing architecture.

Lordan, F.; Badia, R.M. (2016). COMPSs-Mobile: parallel programming for mobile-cloud computing.

Djemame, K.; Kavanagh, R.; Armstrong, D.; Lordan, F.; Ejarque, J.; Macias, M.; Sirvent, R.; Guitart, J.; Badia, R.M. (2017). Energy efficiency support through intra-layer cloud stack adaptation.

AUTHOR:ZIVANOVIC, DARKO
Title:Memory systems for high-performance computing: the capacity and reliability implications
Reading date:02/07/2018
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:RADOJKOVIC, PETAR
Mention:No
RELATED PUBLICATIONS
Zivanovic, D. (2015). NEXT-GENERATION MEMORY SYSTEMS FOR HIGH-PERFORMANCE COMPUTING.

Zivanovic, D.; Esmaili, P.; Moré, S.; Bartolomé, J.; Carpenter, P.; Radojkovic, Petar; Ayguade, E. (2019). DRAM errors in the field: a statistical approach.

AUTHOR:LEON GAIXAS, SERGIO
Title:Contributions to routing scalability and QoS assurance in cloud data transport networks based on the recursive internetwork architecture
Reading date:29/06/2018
Director:PERELLO MUNTAN, JORDI
Co-director:CAREGLIO, DAVIDE
Mention:No
RELATED PUBLICATIONS
Leon, S. (2014). RINA - Deploying a New Internet Model.

Gabarro, J.; Leon, S.; Serna, M. (2017). The computational complexity of QoS measures for orchestrations. - Journal of combinatorial optimization, ISSN: 1382-6905 (JCR Impact Factor-2017: 0.927; Quartil: Q3)

Leon, S.; Perello, J.; Careglio, D.; Grasa, E.; Lopez, D.; Aranda, P. (2017). Scalable topological forwarding and routing policies in RINA-enabled programmable data centers. - Transactions on emerging telecommunications technologies, ISSN: 2161-3915 (JCR Impact Factor-2017: 1.606; Quartil: Q3)

Leon, S.; Perello, J.; Grasa, E.; Careglio, D.; Spadaro, S. (2015). On the benefits of RINA over programmable optical networks for dynamic and smart resource management.

Leon, S.; Perello, J.; Grasa, E.; Lopez, D.; Aranda, P.; Careglio, D. (2016). Benefits of programmable topological routing policies in RINA-enabled large-scale datacenters.

AUTHOR:MORALES ALCAIDE, FERNANDO
Title:Towards cognitive in-operation network planning
Reading date:15/06/2018
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:RUIZ RAMÍREZ, MARC
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Morales, F. (2017). Toward Cognitive In-operation Network Planning.

Morales, F.; Ruiz, M.; Gifre, L.; Contreras, L.M.; López, V.; Velasco, L. (2017). Virtual network topology adaptability based on data analytics for traffic prediction. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2017: 2.742; Quartil: Q1)

Morales, F.; Gifre, L.; Paolucci, F.; Ruiz, M.; Cugini, F.; Castoldi, P.; Velasco, L. (2017). Dynamic core VNT adaptability based on predictive metro-flow traffic models. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2017: 2.742; Quartil: Q1)

Morales, F.; Ruiz, M.; Velasco, L. (2016). Virtual network topology reconfiguration based on big data analytics for traffic prediction.

Morales, F.; Ruiz, M.; Velasco, L. (2016). Incremental capacity planning in optical transport networks based on periodic performance metrics.

Gifre, L.; Morales, F.; Velasco, L.; Ruiz, M. (2016). Big data analytics for the virtual network topology reconfiguration use case.

Morales, F.; Gifré, L.; Paolucci, F.; Ruiz, M.; Cugini, F.; Velasco, L.; Castoldi, P. (2017). Experimental assessment of a flow controller for dynamic metro-core predictive traffic models estimation.

Morales, F.; Ruiz, M.; Velasco, L. (2017). Core VNT adaptation based on the aggregated metro-flow traffic model prediction.

Morales, F.; Ruiz, M.; Velasco, L. (2017). Data analytics based origin-destination core traffic modelling.

Morales, F.; Festa, P.; Ruiz, M.; Velasco, L. (2017). Adapting the virtual network topology to near future traffic.

Morales, F.; Festa, P.; Ruiz, M.; Velasco, L. (2018). Performance evaluation of the VNT reconfiguration algorithm based on traffic prediction.

Morales, F.; Ruiz, M.; Velasco, L. (2018). Metro-flow traffic modelling for cognitive adaptation of core virtual network topologies.

AUTHOR:ROYUELA ALCÁZAR, SARA
Title:High-level Compiler Analysis for OpenMP
Reading date:11/06/2018
Director:MARTORELL BOFILL, XAVIER
Mention:No
RELATED PUBLICATIONS
Royuela, S.; Ferrer, R.; Caballero, D.; Martorell, X.; Martorell, X. (2015). Compiler analysis for OpenMP tasks correctness.

Royuela, S.; Martorell, X. (2015). Parallel programming issues and what the compiler can do to help.

Royuela, S.; Martorell, X.; Quiñones, E.; Pinho, L. (2018). Safe parallelism: Compiler analysis techniques for Ada and OpenMP.

AUTHOR:DE LUCAS CASAMAYOR, ENRIQUE
Title:Reducing Redundancy of Real Time Computer Graphics in Mobile Systems
Reading date:20/04/2018
Director:PARCERISA BUNDO, JOAN MANUEL
Co-director:MARCUELLO PASCUAL, PEDRO
Mention:No
RELATED PUBLICATIONS
De Lucas, E. (2014). Energy saving techniques for Low Power GPU.

De Lucas, E.; Sanchez-Elez, M.; Pardines, I. (2017). DSPONE48 : a methodology for automatically synthesize HDL focus on the reuse of DSP slices. - Journal of parallel and distributed computing, ISSN: 0743-7315 (JCR Impact Factor-2017: 1.815; Quartil: Q2)

De Lucas, E.; Marcuello, P.; Parcerisa, Joan-Manuel; Gonzalez, A. (2015). Ultra-low power render based collision detection for CPU/GPU systems.

AUTHOR:TABANI, HAMID
Title:Low-Power Architectures for Automatic Speech Recognition
Reading date:21/02/2018
Director:TUBELLA MURGADAS, JORDI
Co-director:GONZÁLEZ COLÁS, ANTONIO MARIA
Mention:No
RELATED PUBLICATIONS
Tabani, H. (2015). Low-Power Architectures for Speech Recognition.

Tabani, H.; Arnau, J.; Tubella, J.; Gonzalez, A. (2018). Performance analysis and optimization of automatic speech recognition. - IEEE Transactions on Multi-Scale Computing Systems, ISSN: 2332-7766 (JCR Impact Factor-2018: 0.655; Quartil: Q1)

Alcaide, S.; Kosmidis, L.; Tabani, H.; Hernández, C.; Abella, J.; Cazorla, F. J. (2018). Safety-related challenges and opportunities for GPUs in the automotive domain. - IEEE micro, ISSN: 0272-1732 (JCR Impact Factor-2018: 2.57; Quartil: Q1)

Tabani, H.; Arnau, J.; Tubella, J.; Gonzalez, A. (2017). An ultra low-power hardware accelerator for acoustic scoring in speech recognition.

Tabani, H.; Arnau, J.; Tubella, J.; Gonzalez, A. (2018). A novel register renaming technique for out-of-order processors.

AUTHOR:BARBOSA CARLOS DE SOUZA, VITOR
Title:Mechanisms for Service-oriented Resource Allocation in IoT
Reading date:29/01/2018
Director:MASIP BRUIN, JAVIER
Co-director:MARIN TORDERA, EVA
Mention:No
RELATED PUBLICATIONS
Barbosa, V. (2015). Service-Oriented PCE Enabling Service Orchestration on loT Scenarios.

Ramirez, W.; Barbosa, V.; Marin, E.; Sanchez, S. (2017). Exploring potential implementations of PCE in IoT world. - Optical switching and networking, ISSN: 1573-4277 (JCR Impact Factor-2017: 1.113; Quartil: Q3)

Ramirez, W.; Masip, X.; Marin, E.; Barbosa, V.; Jukan, A.; Ren, G.; González de Dios , O. (2017). Evaluating the benefits of combined and continuous Fog-to-Cloud architectures. - Computer communications, ISSN: 0140-3664 (JCR Impact Factor-2017: 2.613; Quartil: Q2)

Ramirez, W.; Masip, X.; Marin, E.; Sanchez, S.; Barbosa, V. (2015). Handling outdated information in optical PCE environments.

Barbosa, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S. (2015). Towards the scalability of a service-oriented PCE architecture for IoT scenarios.

Barbosa, V.; Ramirez, W.; Masip, X.; Marin, E.; Ren, G.; Tashakor, G. (2016). Handling service allocation in combined Fog-cloud scenarios.

Barbosa, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S. (2016). Towards distributed service allocation in Fog-to-Cloud (F2C) scenarios.

Masip, X.; Marin, E.; Gomez, A.; Barbosa, V.; Alonso, A. (2016). Will it be cloud or will it be fog? F2C, a novel flagship computing paradigm for highly demanding services.

Barbosa, V.; Gomez, A.; Masip, X.; Marin, E.; Garcia, J. (2017). Towards a Fog-to-Cloud control topology for QoS-aware end-to-end communications.

Barbosa, V.; Masip, X.; Marin, E.; Ramirez, W.; Sanchez, S. (2017). Proactive vs reactive failure recovery assessment in combined fog-to-cloud (F2C) systems.

Barbosa, V.; Masip, X.; Marin, E.; Sanchez, S.; Ren, G. (2017). Towards service protection in Fog-to-Cloud (F2C) computing systems.

AUTHOR:NEUMANN, AXEL FRANZ
Title:Cooperation in Open, Decentralized, and Heterogeneous Computer Networks
Reading date:20/12/2017
Director:NAVARRO MOLDES, LEANDRO
Co-director:CERDÀ ALABERN, LLORENÇ
Mention:No
RELATED PUBLICATIONS
Braem, B.; Blondia, C.; Freitag, F.; Navarro, L.; Escrich, P.; Baig, R.; Bonicioli, J.; Papathanasiou, S.; Vilata i Balaguer, I.; Barz, C.; Rogge, H.; Neumann, A.; Matson, M.; Tatum, B.; Kaplan, A. (2013). A case for research with and on community networks. - Computer communication review, ISSN: 0146-4833 (JCR Impact Factor-2013: 1.102; Quartil: Q2)

Neumann, A.; Navarro, L.; Lopez, E. (2015). Evaluation of mesh routing protocols for wireless community networks. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2015: 1.446; Quartil: Q2)

Cerdà, L.; Neumann, A.; Escrich, P. (2013). Experimental evaluation of a wireless community mesh network.

Escrich, P.; Baig, R.; Vilalta i Balaguer, I.; Neumann, A.; Aymerich, M.; Lopez, E.; Vega, D.; Meseguer, R.; Freitag, F.; Navarro, L. (2013). Community home gateways for P2P clouds.

Escrich, P.; Baig, R.; Dimogerontakis, E.; Carbo, E.; Neumann, A.; Fonseca, A.; Freitag, F.; Navarro, L. (2014). WiBed, a platform for commodity wireless testbeds.

Selimi, M.; Florit, J.L.; Vega, D.; Meseguer, R.; Lopez, E.; Khan, M.A.; Neumann, A.; Freitag, F.; Navarro, L.; Baig, R.; Escrich, P.; Moll, A.; Roger Pueyo Centelles; Vilalta i Balaguer, I.; Aymerich, M.; Lamora, S. (2014). Cloud-based extension for Community-Lab.

Cerdà, L.; Neumann, A.; Maccari, L. (2015). Experimental evaluation of BMX6 routing metrics in a 802.11an wireless-community mesh network.

Neumann, A.; Lopez, E.; Cerdà, L.; Navarro, L. (2016). Securely-entrusted multi-topology routing for community networks.

AUTHOR:MESTRES SUGRAÑES, ALBERT
Title:Knowledge-Defined Networking: A Machine Learning Based Approach for Network and Traffic Modeling
Reading date:12/12/2017
Director:CABELLOS APARICIO, ALBERTO
Co-director:ALARCON COT, EDUARDO JOSE
Mention:No
RELATED PUBLICATIONS
S. Abadal; Llatser, I.; Mestres, A.; Solé-Pareta, J.; Alarcon, E.; Albert Cabellos-Aparicio (2017). Fundamentals of graphene-enabled wireless on-chip networking.

Mestres, A. (2013). MAC Protocols for Graphene-based Communication.

Llatser, I.; Albert Cabellos-Aparicio; Alarcon, E.; Jornet, J.M.; Mestres, A.; Lee, H.; Solé-Pareta, J. (2015). Scalability of the channel capacity in graphene-enabled wireless communications to the nanoscale. - IEEE transactions on communications, ISSN: 0090-6778 (JCR Impact Factor-2015: 2.298; Quartil: Q1)

Llatser, I.; Mestres, A.; S. Abadal; Alarcon, E.; Lee, H.; Albert Cabellos-Aparicio (2015). Time- and frequency-domain analysis of molecular absorption in short-range terahertz communications. - IEEE antennas and wireless propagation letters, ISSN: 1536-1225 (JCR Impact Factor-2015: 1.751; Quartil: Q2)

S. Abadal; Llatser, I.; Mestres, A.; Lee, H.; Alarcon, E.; Albert Cabellos-Aparicio (2015). Time-domain analysis of Graphene-based miniaturized antennas for ultra-short-range impulse radio communications. - IEEE transactions on communications, ISSN: 0090-6778 (JCR Impact Factor-2015: 2.298; Quartil: Q1)

Mestres, A.; S. Abadal; Llatser, I.; Alarcon, E.; Lee, H.; Albert Cabellos-Aparicio (2016). Pulse interspersing in static multipath chip environments for Impulse Radio communications. - Nano communication networks, ISSN: 1878-7789 (JCR Impact Factor-2016: 2.769; Quartil: Q2)

S. Abadal; Mestres, A.; Nemirovsky, M.; Lee, H.; Gonzalez, A.; Alarcon, E.; Albert Cabellos-Aparicio (2016). Scalability of broadcast performance in wireless network-on-chip. - IEEE transactions on parallel and distributed systems, ISSN: 1045-9219 (JCR Impact Factor-2016: 4.181; Quartil: Q1)

Mestres, A.; Rodriguez, A.; Carner, J.; Barlet, P.; Alarcon, E.; Sole, M.; Muntés, V.; Meyer, D.; Barkai, S.; Hibbett, M.; Estrada, G.; Coras, F.; Ermagan, V.; Latapie, H.; Cassar, C.; Evans, J.; Walrand, J.; Albert Cabellos-Aparicio (2017). Knowledge-defined networking. - Computer communication review, ISSN: 0146-4833 (JCR Impact Factor-2017: 3.577; Quartil: Q1)

S. Abadal; Mestres, A.; Torrellas, J.; Alarcon, E.; Albert Cabellos-Aparicio (2018). Medium access control in wireless network-on-chip: a context analysis. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2018: 10.356; Quartil: Q1)

Llatser, I.; S. Abadal; Mestres, A.; Albert Cabellos-Aparicio; Alarcon, E. (2013). Graphene-enabled wireless networks-on-chip.

Piro, G.; S. Abadal; Mestres, A.; Alarcon, E.; Solé-Pareta, J.; Grieco, L.; Boggia, G. (2014). Initial MAC exploration for graphene-enabled wireless networks-on-chip.

S. Abadal; Mestres, A.; Iannazzo, M.; Solé-Pareta, J.; Alarcon, E.; Albert Cabellos-Aparicio (2014). Evaluating the feasibility of wireless Networks-on-Chip enabled by graphene.

S. Abadal; Mestres, A.; Alarcon, E.; Albert Cabellos-Aparicio; Martínez, R. (2015). Multicast on-Chip traffic analysis targeting manycore NoC design.

S. Abadal; Mestres, A.; Llatser, I.; Alarcon, E.; Albert Cabellos-Aparicio (2015). A vertical methodology for the design space exploration of graphene-enabled wireless communications.

Mestres, A.; S. Abadal; Torrellas, J.; Alarcon, E.; Albert Cabellos-Aparicio (2016). A MAC protocol for reliable broadcast communications in wireless network-on-chip.

Mestres, A.; Alarcon, E.; Albert Cabellos-Aparicio (2018). A machine learning-based approach for virtual network function modeling.

Mestres, A.; Alarcon, E.; Ji, Y.; Albert Cabellos-Aparicio (2018). Understanding the modeling of computer network delays using neural networks.

AUTHOR:DIMOPOULOS, GEORGIOS
Title:Identifying and Diagnosing Video Streaming Performance Issues
Reading date:27/11/2017
Director:BARLET ROS, PERE
Co-director:LEONTIADIS, ILIAS
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Dimopoulos, G. (2013). Portability of Mobile Experience.

Dimopoulos, G. (2014). Root Cause Analysis of Video Streaming Performance Issues on Mobile Devices.

Dimopoulos, G.; Barlet, P.; Sanjuas, J. (2014). Analysis of YouTube user experience from passive measurements.

Dimopoulos, G.; Leontiadis, I.; Barlet, P.; Papagiannaki, K.; Steenkiste, P. (2015). Identifying the root cause of video streaming issues in mobile devices.

Dimopoulos, G.; Leontiadis, I.; Barlet, P.; Papagiannaki, K. (2016). Measuring video QoE from encrypted traffic.

AUTHOR:MILIC, UGLJESA
Title:Multicore Architecture Optimizations for HPC Applications
Reading date:21/11/2017
Tutor/a:AYGUADÉ PARRA, EDUARD
Director:RAMIREZ BELLIDO, ALEJANDRO
Co-director:RICO CARRO, ALEJANDRO
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Milic, U. (2014). Multicore Architecture Optimizations for HPC Applications.

Milic, U.; Gelado, I.; Puzovic, N.; Alex Ramirez; Tomasevic, M. (2014). Parallelizing general histogram application for CUDA architectures.

AUTHOR:SINAEEPOURFARD, AMIR
Title:Hierarchical Distributed Fog-to-Cloud Data Management in Smart Cities
Reading date:08/11/2017
Director:GARCÍA ALMIÑANA, JORDI
Co-director:MASIP BRUIN, JAVIER
Mention:No
RELATED PUBLICATIONS
Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E.; Cirera, J.; Grau, G.; Casaus, F. (2016). Estimating smart city sensors data generation: current and future data in the city of Barcelona.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E.; Yin, X.; Wang, C. (2016). A Data LifeCycle model for smart cities.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E. (2016). A comprehensive scenario agnostic Data LifeCycle model for an efficient data complexity management.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E. (2016). Towards a comprehensive Data LifeCycle model for big data environments.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E. (2017). A novel architecture for efficient fog to cloud data management in smart cities.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E. (2017). Fog-to-Cloud (F2C) Data Management for Smart Cities.

Sinaeepourfard, A.; Garcia, J.; Masip, X.; Marin, E. (2018). Data Preservation through Fog-to-Cloud (F2C) Data Management in Smart Cities.

AUTHOR:MONTERO BANEGAS, DIEGO
Title:Novel Architectures and Strategies for Security Offloading
Reading date:03/11/2017
Director:SERRAL GRACIÀ, RENÉ
Co-director:YANNUZZI SANCHEZ, MARCELO
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Montero, D.; Yannuzzi, M.; Serral, R.; Nemirovsky, M. (2015). Virtualized Security at the Network Edge: A User-Centric Approach. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2015: 5.125; Quartil: Q1)

Siddiqui, M. S.; Montero, D.; Serral, R.; Masip, X.; Yannuzzi, M. (2015). A survey on the recent efforts of the Internet standardization body for securing inter-domain routing. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2015: 1.446; Quartil: Q2)

Siddiqui, M.; Montero, D.; Serral, R.; Yannuzzi, M. (2015). Self-reliant detection of route leaks in inter-domain routing. - Computer networks, ISSN: 1389-1286 (JCR Impact Factor-2015: 1.446; Quartil: Q2)

Yannuzzi, M.; van Lingen, F.; Jain, A.; Lluch, O.; Mendoza, M.; Carrera, D.; Pérez, J.; Montero, D.; Chacin, P.; Corsaro, A.; Olive, A. (2017). A New era for cities with fog computing. - IEEE internet computing, ISSN: 1089-7801 (JCR Impact Factor-2017: 1.929; Quartil: Q1)

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. (2017). The unavoidable convergence of NFV, 5G and Fog: A model-driven approach to bridge cloud and edge. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2017: 9.27; Quartil: Q1)

Ramirez, W.; Masip, X.; Yannuzzi, M.; Montero, D.; Martinez, A.; Lopez, V. (2014). Network coding-based protection scheme for elastic optical networks.

Siddiqui, M. S.; Montero, D.; Yannuzzi, M.; Serral, R.; Masip, X. (2014). Route leak identification: a step toward making inter-domain routing more reliable.

Siddiqui, M. S.; Montero, D.; Yannuzzi, M.; Serral, R.; Masip, X. (2014). Diagnosis of route leaks among autonomous systems in the Internet.

Siddiqui, M.; Montero, D.; Yannuzzi, M.; Serral, R.; Masip, X.; Ramirez, W. (2014). Route leak detection using real-time analytics on local BGP information.

Montero, D.; Serral, R. (2016). Offloading personal security applications to the Network Edge: a mobile user case scenario.

AUTHOR:CASTILLO REYES, OCTAVIO
Title:Edge-Elements Formulation of 3D CSEM in Geophysics: A Parallel Approach
Reading date:23/10/2017
Director:CELA ESPIN, JOSE M.
Co-director:DE LA PUENTE ÁLVAREZ, JOSEP
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Castillo, O.; de la Puente, J.; Modesto, D.; Puzyrev, V.; Cela, J. (2016). A parallel tool for numerical approximation of 3D electromagnetic surveys in geophysics. - Computación y sistemas, ISSN: 2007-9737 (JCR Impact Factor-2019: 0.0; Quartil: )

Castillo, O.; de la Puente, J.; Cela, J. (2018). PETGEM: A parallel code for 3D CSEM forward modeling using edge finite elements. - Computers and geosciences, ISSN: 0098-3004 (JCR Impact Factor-2018: 2.721; Quartil: Q2)

Castillo, O.; Puente, J. de la; Puzyrev, V.; Cela, J. (2015). HPC and edge elements for geophysical electromagnetic problems: an overview.

Fuster, M.; Castillo, O.; Futatani, S. (2018). Application of the edge-based finite element method for fusion plasma simulations.

Monterrubio, M.; Carrasco-Jiménez, J. C.; Castillo, O.; De la Puente, J. (2018). Earthquake simulation by Fiber Bundle Model and machine learning techniques.

AUTHOR:GRASS, THOMAS DIETER
Title:Simulation Methodologies for Future Large-Scale Parallel Systems
Reading date:09/10/2017
Director:CASAS GUIX, MARC
Co-director:MORETÓ PLANAS, MIQUEL
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Grass, T. (2013). Performance Modelling of Task-Based Applications on Many-Core Architectures.

Grass, T. (2013). Task sampling: computer architecture simulation in the many-core era.

Grass, T.; Rico, A.; Casas, M.; Moreto, M.; Alex Ramirez (2014). Evaluating execution time predictability of task-based programs on multi-core processors.

Garcia, V.; Gomez, J.; Grass, T.; Rico, A.; Ayguade, E.; Pena, A. (2016). Evaluating the effect of last-level cache sharing on integrated GPU-CPU systems with heterogeneous applications.

AUTHOR:GARCÍA FLORES, VÍCTOR
Title:Memory Hierarchies for Future HPC Architectures
Reading date:02/10/2017
Director:PEÑA MONFERRER, ANTONIO JOSE
Co-director:AYGUADÉ PARRA, EDUARD
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Garcia, V. (2013). Explicitly Managed Memory Hierarchy.

Garcia, V.; Rico, A.; Villavieja, C.; Carpenter, P.; Navarro, N.; Ramirez, A. (2016). Adaptive runtime-assisted block prefetching on chip-multiprocessors. - International journal of parallel programming, ISSN: 0885-7458 (JCR Impact Factor-2016: 1.156; Quartil: Q3)

Garcia, V.; Rico, A.; Navarro, Nacho; Villavieja, C.; Alex Ramirez (2012). The data transfer engine: towards a software controlled memory hierarchy.

AUTHOR:TORRENTS LAPUERTA, MARTI
Title:Improving Prefetching Mechanisms for Tiled CMP Platforms
Reading date:28/11/2016
Director:MARTINEZ MORAIS, RAUL
Co-director:MOLINA CLEMENTE, CARLOS MA.
Mention:No
RELATED PUBLICATIONS
Torrents, M.; Martinez, R.; Molina, C. (2016). Facing prefetching challenges in distributed shared memories for CMPs. - Journal of supercomputing, ISSN: 0920-8542 (JCR Impact Factor-2016: 1.326; Quartil: Q2)

AUTHOR:SUBASI, OMER
Title:Reliability for Exascale Computing: System Modelling and Error Mitigation for Task-parallel HPC Applications
Reading date:27/10/2016
Director:LABARTA MANCHO, JESUS JOSE
Co-director:UNSAL, OSMAN SABRI
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Subasi, O. (2013). Reliability for Exascale Supercomputers.

Subasi, O.; Arias, F.J.; Labarta, J.; Unsal, O.; Cristal, A. (2014). Leveraging a task-based asynchronous dataflow substrate for efficient and scalable resiliency.

Subasi, O.; Arias, F.J.; Unsal, O.; Labarta, J.; Cristal, A. (2015). Programmer-directed partial redundancy for resilient HPC.

Subasi, O.; Unsal, O.; Labarta, J.; Yalcin, G.; Cristal, A. (2016). CRC-based memory reliability for task-parallel HPC applications.

Subasi, O.; Di, S.; Bautista Gomez, Leonardo Arturo; Balaprakash, P.; Unsal, O.; Labarta, J.; Cristal, A.; Cappello, F. (2016). Spatial support vector regression to detect silent errors in the exascale era.

AUTHOR:RANA, MANISH
Title:Statistical Analysis and Design of Subthreshold Operation Memories
Reading date:18/10/2016
Director:CANAL CORRETGER, RAMON
Co-director:AMAT BERTRÁN, ESTEVE
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Rana, M. (2013). Analysis and Design of Process Variation Aware Subthreshold SRAM Memory.

Rana, M.; Canal, R.; Amat, E.; Rubio, A. (2017). Statistical analysis and comparison of 2T and 3T1D e-DRAM minimum energy operation. - IEEE transactions on device and materials reliability, ISSN: 1530-4388 (JCR Impact Factor-2017: 1.512; Quartil: Q3)

Rana, M.; Canal, R. (2014). SSFB: a highly-efficient and scalable simulation reduction technique for SRAM yield analysis.

Rana, M.; Canal, R. (2014). REEM: failure/non-failure region estimation method for SRAM yield analysis.

AUTHOR:DOT ARTIGAS, GEM
Title:Co-designed Solutions for Overhead Removal in Dynamically Typed Languages
Reading date:26/07/2016
Director:GONZÁLEZ COLÁS, ANTONIO MARIA
Co-director:MARTINEZ VICENTE, ALEJANDRO
Mention:No
RELATED PUBLICATIONS
Dot, G.; Martinez, A.; Gonzalez, A. (2013). Analysis and optimization of Javascript engines.

Dot, G. (2013). Dynamic optimization in HW/SW codesigned virtual machines.

Dot, G.; Martínez, A.; Gonzalez, A. (2015). Analysis and optimization of engines for dynamically typed languages.

AUTHOR:RODRÍGUEZ NATAL, ALBERTO
Title:Decoupling State from Control in Software-Defined Networking
Reading date:04/07/2016
Director:CABELLOS APARICIO, ALBERTO
Co-director:MAINO, FABIO
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Rodriguez, A. (2013). Contibutions to Future Internet Based on Identifier Split.

Coleto Fernandez, Javier (2016). Open DPDK Encapsulation Data-Plane.

Rodriguez, A.; Jakab, L.; Marc Portoles-Comeras; Ermagan, V.; Natarajan , P.; Maino, F.; Meyer, D.; Albert Cabellos-Aparicio (2013). LISP-MN: mobile networking through LISP. - Wireless personal communications, ISSN: 0929-6212 (JCR Impact Factor-2013: 0.979; Quartil: Q3)

Rodriguez, A.; Marc Portoles-Comeras; Ermagan, V.; Lewis, D.; Farinacci, D.; Maino, F.; Albert Cabellos-Aparicio (2015). LISP: a southbound SDN protocol?. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2015: 5.125; Quartil: Q1)

Rodriguez, A.; Ermagan, V.; Noy, A.; Sahai, A.; Kaempfer, G.; Barkai, S.; Maino, F.; Albert Cabellos-Aparicio (2017). Global state, local decisions: Decentralized NFV for ISPs via enhanced SDN. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2017: 9.27; Quartil: Q1)

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. (2017). Programmable overlays via OpenOverlayRouter. - IEEE communications magazine, ISSN: 0163-6804 (JCR Impact Factor-2017: 9.27; Quartil: Q1)

Papadimitriou, D.; Coras, F.; Rodriguez, A.; Carela, V.; Careglio, D.; Fàbrega, L.; Vilà, P.; Demeester, P. (2013). Iterative research method applied to the design and evaluation of a dynamic multicast routing scheme.

AUTHOR:ASENSIO GARCÍA, ADRIÁN
Title:Orchestrating Datacenters and Networks to Facilitate the Telecom Cloud
Reading date:10/06/2016
Director:VELASCO ESTEBAN, LUIS DOMINGO
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Asensio, A. (2015). Orchestrating Datacenters and Networks to Facilitate the Telecom Cloud.

Asensio, A.; Ruiz, M.; Velasco, L. (2015). Orchestrating connectivity services to support elastic operations in datacenter federations. - Photonic network communications, ISSN: 1387-974X (JCR Impact Factor-2015: 0.557; Quartil: Q4)

Asensio, A.; Ruiz, M.; Contreras, L.M.; Velasco, L. (2016). Dynamic virtual network connectivity services to support C-RAN backhauling. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2016: 2.261; Quartil: Q2)

Velasco, L.; Castro, A.; Asensio, A.; Ruiz, M.; Liu, G.; Qin, C.; Proietti, R.; Yoo, S. (2017). Meeting the requirements to deploy cloud RAN over optical networks. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2017: 2.742; Quartil: Q1)

Velasco, L.; Asensio, A.; Ruiz, M.; Junyent, G. (2014). Carrier SDN to control flexgrid-based inter-datacenter connectivity.

Gifre, L.; Navarro, Nacho; Asensio, A.; Ruiz, M.; Velasco, L. (2015). iONE: an environment for experimentally assessing in-operation network planning algorithms.

Comellas, J.; Asensio, A.; Ruiz, M.; Junyent, G.; Velasco, L. (2015). Using spectrum management techniques to differentiate services in elastic optical networks.

Gifre, L.; Ruiz, M.; Asensio, A.; Velasco, L. (2015). Comparing single layer and multilayer approaches to serve multicast requests on flexgrid networks.

Asensio, A.; Ruiz, M.; Velasco, L. (2015). Routing and scheduled spectrum allocation for transfer-based datacenter connections.

Asensio, A.; Ruiz, M.; Velasco, L. (2016). Requirements to support cloud, video and 5G services on the telecom cloud.

Asensio, A.; Ruiz, M.; Velasco, L. (2016). Connectivity requirements for cloud-based services.

AUTHOR:GIFRE RENOM, LLUÍS
Title:In-Operation Planning in Flexgrid Optical Core Networks
Reading date:03/06/2016
Director:VELASCO ESTEBAN, LUIS DOMINGO
Co-director:NAVARRO MAS, JOSE
Mention:Mention de Doctor Internacional
RELATED PUBLICATIONS
Cugini, F.; Velasco, L.; Gifre, L.; Dallaglio, M.; López, V.; J. Fernández-Palacios (2015). REACTION: Research and experimental assessment of control plane architectures for in-operation flexgrid network re-optimization.

Gifre, L. (2014). Off-Line and In-Operation Planning Tool for Flexgrid Optical Core Networks.

Gifre, L.; Paolucci, F.; Aguado, A.; Casellas Regi, Ramon; Castro, A.; Cugini, F.; Castoldi, P.; Velasco, L.; López, V. (2014). Experimental assessment of in-operation spectrum defragmentation. - Photonic network communications, ISSN: 1387-974X (JCR Impact Factor-2014: 0.793; Quartil: Q3)

Gifre, L.; Paolucci, F.; González de Dios , O.; Velasco, L.; Contreras, L.; Cugini, F.; Castoldi, P.; López, V. (2015). Experimental assessment of ABNO-driven multicast connectivity in flexgrid networks. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2015: 2.567; Quartil: Q1)

Gifre, L.; Paolucci, F.; Velasco, L.; Aguado, A.; Cugini, F.; Castoldi, P.; López, V. (2015). First experimental assessment of ABNO-driven in-operation flexgrid network re-optimization. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2015: 2.567; Quartil: Q1)

Velasco, L.; Morales, F.; Gifre, L.; Castro, A.; González de Dios , O.; Ruiz, M. (2016). On-demand incremental capacity planning in optical transport networks. - Journal of optical communications and networking, ISSN: 1943-0620 (JCR Impact Factor-2016: 2.261; Quartil: Q2)

González de Dios , O.; Casellas Regi, Ramon; Paolucci, F.; Napoli, A.; Gifre, L.; Dupas, A.; Hugues, E.; Morro, R.; Belotti, S.; Meloni, G.; Rahman, T.; López, V.; Martínez, R.; Fresi, F.; Bohn, M.; Yan, S.; Velasco, L.; Layec, P.; J. Fernández-Palacios (2016). Experimental demonstration of multi-vendor and multi-domain elastic optical network with data and control interoperability over a pan-european test-bed. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2016: 3.671; Quartil: Q1)

Castro, A.; Velasco, L.; Gifre, L.; Chen, C.; Yin, J.; Zhu, Z.; Proietti, R.; Yoo, S. (2016). Brokered orchestration for end-to-end service provisioning across heterogeneous multi-operator (Multi-AS) optical networks. - Journal of lightwave technology, ISSN: 0733-8724 (JCR Impact Factor-2016: 3.671; Quartil: Q1)

Gifre, L.; Velasco, L.; Navarro, Nacho; Junyent, G. (2014). Experimental assessment of a high performance back-end PCE for Flexgrid optical network re-optimization.

Velasco, L.; Paolucci, F.; Gifre, L.; Aguado, A.; Cugini, F.; Castoldi, P.; López, V. (2014). First experimental demonstration of ABNO-driven in-operation flexgrid network re-optimization.

Martínez, R.; Gifre, L.; Casellas Regi, Ramon; Velasco, L.; Muñoz, R.; Vilalta, R. (2014). Experimental validation of active frontend - backend stateful PCE operations in flexgrid optical network re-optimization.

Asensio, A.; Gifre, L.; Ruiz, M.; Velasco, L. (2014). Carrier SDN for flexgrid-based inter-datacenter connectivity.

Gifre, L.; Castro, A.; Ruiz, M.; Navarro, N.; Velasco, L. (2014). An in-operation planning tool architecture for flexgrid network re-optimization.

González de Dios , O.; Casellas Regi, Ramon; Paolucci, F.; Gifre, L.; Velasco, L. (2015). First demonstration of multi-vendor and multi-domain EON with S-BVT and control interoperability over Pan-European testbed.

Gifre, L.; Velasco, L.; Casellas Regi, Ramon; Vilalta, R. (2015). Modulation format-aware re-optimization in flexgrid optical networks: concept and experimental assessment.

Castro, A.; Gifre, L.; Chen, C.; Yin, J.; Zhu, Z.; Velasco, L.; Yoo, S. (2015). Experimental demonstration of brokered orchestration for end-to-end service provisioning and interoperability across heterogeneous multi-operator (multi-AS) optical networks.

Velasco, L.; Gifre, L. (2015). iONE: A workflow-oriented ABNO implementation.

Gifre, L.; Contreras, L.; Lopez, V.; Velasco, L. (2016). Big data analytics in support of virtual network topology adaptability.

Gifre, L.; Velasco, L. (2016). Performance evaluation of video distribution in the telecom cloud.

Gifre, L.; Ruiz, M.; Velasco, L. (2016). Modulation format-aware restoration and re-optimization in Flexgrid optical networks.

AUTHOR:PRAT PÉREZ, ARNAU
Title:Scalable Community Detection for Social Networks
Reading date:03/03/2016
Director:LARRIBA PEY, JOSEP
Co-director:DOMINGUEZ SAL, DAVID
Mention:No
RELATED PUBLICATIONS
Perez-Casany, M.; Duarte, A.; Prat, A. (2015). Marshall-Olkin extended Zipf distribution.

Duarte, A.; Prat, A.; Perez-Casany, M. (2015). Using the Marshall-Olkin extended Zipf distribution in graph generation.

Kolbay, B. (2016). Understanding relations between structure and attributes in real networks.

Prat, A.; Dominguez, D.; Brunat, Josep M.; Larriba, J. (2016). Put three and three together: Triangle-driven community detection. - ACM transactions on knowledge discovery from data, ISSN: 1556-4681 (JCR Impact Factor-2016: 1.895; Quartil: Q2)

Research projects

START DATEEND DATEACTIVITYFINANCING ENTITY
01/06/202031/05/2024UPC-Computación de Altas Prestaciones VIIIAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Sistemas informáticos y de red descentralizados con recursos distribuidosAGENCIA ESTATAL DE INVESTIGACION
13/05/202007/05/2021Subcontratación de servicios de Coordinación, Gestión y Dirección de un plan de formación en materia de Ciberseguridad para l’Agència de Ciberseguretat de Catalunya y la dinamización de la formación oEVERIS BPO, SLU
01/05/202001/11/2022A Unified Integrated Remain Well Clear Concept in Airspace D-G Class- URCLeaEDCommission of European Communities
14/04/202014/04/2020Merging 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
07/01/202007/01/2020Disabling 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
01/01/202031/12/2022Monitorización IoT de la calidad del aireAGENCIA ESTATAL DE INVESTIGACION
13/11/201931/12/2020FOOXY - COLLIDER 2019FUNDACIO BARCELONA MOBILE WORLD CAP
01/11/201930/04/2020Fast virtual SoC for advanced GPS algorithm evaluationGENT UNIVERSITEIT
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
01/09/201931/08/2024CoCoUnit: An Energy-Efficient Processing Unit for Cognitive ComputingCommission of European Communities
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
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
01/06/201931/05/2021TRaceo y ACompañamiento en el viaje con medios ITAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Inteligencia Artificial aplicada a Grafos para Redes Biológicas y de ComunicacionesAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Prestación de servicios de confianza en nubes periféricos descentralizadas para múltiples entornosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Economía participativa para una plataforma computacional comunitaria descentralizadaAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Resiliencia Unificada para Sistemas InformáticosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022001-P-001723_Disseny d'acceleradors basats en la tecnologia RISC per a la propera generació de computadors (DRAC)GENCAT - DEPT. D'EMPRESA I OCUPACIO
24/04/201923/04/2022EUROCONTROL -PHDEUROCONTROL AGENCY
19/03/201931/07/2020Mejora de la infraestructura científico-técnica del Departamento de Arquitectura de Computadores de la UPCMinisterio de Ciencia e Innovación
20/02/201920/02/2020Networking Query Language for Mapping Services in Overlay NetworksSILICON VALLEY COMMUNITY FOUNDATION
01/01/201931/12/2022REAL-time monitoring and mitigation of nonlinearCommission of European Communities
01/01/201931/12/2021Gestión 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
01/01/201931/12/2020Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
22/11/201830/04/2019Conveni de col.laboració en Innovació en CiberseguretatFUNDACIÓ i2CAT
04/10/201829/02/2020STF-560: estándares que definan sintaxis estructurada para políticas de firma electrónica y acciones encaminadas a conseguir la aceptación de los servicios fiables europeos más allá de la UE.ETSI
20/09/201831/12/2019Gift funding to support the research on Network Twin System Modeling for Progressive ComputingFUTUREWEI TECHNOLOGIES INC.
17/07/201801/07/2020Col·laboració per promoure la innovació en els serveis TIC dels diferents àmbits d'acció pública i privada.SBS SEIDOR, S.L.
11/07/201811/07/2018Open Overlay Router
03/07/201803/07/2018Propagating a Prefetching Profile Bit from a Prefetch Queue to a Data Cache to Indicate that a Line Was Prefetched in Response to an Instruction within a Code Region
01/05/201830/04/2021REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systemsEuropean Commission
08/04/201808/04/2018Utilization of Register Checkpointing Mechanism with Pointer Swapping to Resolve Multithreading Mis-speculations
01/03/201831/12/2018Blockchain-based community networksAmmbrTech SCRL
01/03/201828/02/2022Ajut per a contractació RYC-2016-21104AGENCIA ESTATAL DE INVESTIGACION
01/03/201830/09/2018FEDERATION FOR FUTURE RESEARCH EXPERIMENTATION PLUSCommission of European Communities
26/01/201825/01/2019Intelligent routing based on traffic preHUAWEI TECHNOLOGIES CO. LTD
08/01/201831/12/2020Nuevos mecanismos inteligentes para medidas activas y pasivas de red en entornos multiconectadosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Diseñando una infraestructura de red 5G definida mediante conocimiento hacia la próxima sociedad digitalAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimizationAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Arquitectura de Computadors d'Altes PrestacionsAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
13/12/201714/06/2021Open Data based real-time urban mobility for car fleetsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/11/201713/11/2017A METHOD AND COMPUTER PROGRAMS FOR IDENTIFYING VIDEO STREAMING QOE FROM NETWORK TRAFFIC
01/10/201730/09/2018CPU Steal Time in Linux Container Based InfrastructuresAmazon Web Services Inc.
25/09/201701/11/2019Concepción y coordinación del desarrollo de un sistema Big DataINTELLIGENT CLIENT DATA SERVICES SL
25/09/201701/11/2019Plataforma on-line tratam BigDataINTELLIGENT CLIENT DATA SERVICES SL
01/09/201731/08/2021Technology Transfer via Multinational Application ExperimentsCommission of European Communities
01/09/201730/11/2019Concept of Operations for EuRopean UTM SystemsCommission of European Communities
01/09/201730/09/2020My Travel CompanionCommission of European Communities
24/07/201724/07/2018Network Machine Learning: High-Value UseHUAWEI TECHNOLOGIES CO. LTD
10/07/201710/07/2017Sistema y procedimiento para el control a la adherencia de tratamientos médicos
13/06/201713/06/2017Disabling cache portions during low voltage operations - second continuation
01/06/201730/06/2020End-to-End Cognitive Network Slicing and Slice Management Framework in Virtualised Multi-Domain, Multi-Tenant 5G NetworksCommission of European Communities
01/06/201731/05/2020METRO High bandwidth, 5G Application-aware optical network, with edge storage,Commission of European Communities
01/06/201731/12/2020Performance evaluation of the Staflow SystemSTARFLOW, S.L.
29/05/201729/05/2017Managing task dependency
18/05/201717/07/2017Desenvolupament d'un frontend basat en tecnologia web i un interface amb una plataforma d'anàlisi de dades basada en web services en l'àmbit del màrqueting i publicitatESPACIO INVERSOR 5000, SL
01/05/201731/10/2017Federated Interoperable Semantic IoT/cloud Testbeds and ApplicationsCommission of European Communities
01/03/201731/10/2019Encapsulado de herramientas virtual para una gestión robusta de la heterogeneidad entre capas en sistemas ciberfísicos complejosAGENCIA ESTATAL DE INVESTIGACION
08/02/201731/12/2020C-ROADS SPAINCommission of European Communities
05/01/201728/02/2019RPAS-CAFEEUROCONTROL AGENCY
01/01/201730/06/2020VisorSurf - A Hardware Platform for Software-driven Functional MetasurfacesCommission of European Communities
01/01/201731/12/2019Lightweight Computation for Networks at the EdgeCommission of European Communities
01/01/201731/12/2019Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management EcosystemCommission of European Communities
01/01/201731/12/2021ICREA ACADEMIA 2016-02INSTITUCIO CAT DE RECERCA I
01/01/201731/12/2018TRUst-Enhancing certified Solutions for SEcurity and protection of Citizens’ rights in digital EuropeCommission of European Communities
01/01/201731/12/2018PROGRAMAS DE FORMACIÓN PROFESIONAL EN CIBERSEGURIDAD VIVETFUNDACION APWG EUROPEAN UNION FOUND
01/01/201730/09/2019Mi compañero de viajeAGENCIA ESTATAL DE INVESTIGACION
01/01/201731/12/2018Redes comunitarias en regiones en desarolloAGENCIA ESTATAL DE INVESTIGACION
01/01/201731/12/2019Marco de servicios modulares para provisión de servicios IoT locales en entornos múltiplesAGENCIA ESTATAL DE INVESTIGACION
01/01/201731/12/2019(TIN2016-76635-C2-1-R) Arquitectura y programación de computadores escalables de alto rendimiento y bajo consumo (APCE)CICYT. MINISTERIO DE ECONOMÍA, INDUSTRIA Y COMPETITIVIDAD (MINECO). AEI. FEDER
30/12/201629/12/2019Integración Semántica de datos de IoT y su uso en la gestión energética de las Smart Grids y Smart CitiesMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2019Operaciones de vuelo para múltiples aviones remotamente pilotadosMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2020Arquitectura de Sistemas de Computación Inteligentes, UbicuosMIN DE ECONOMIA Y COMPETITIVIDAD
30/12/201629/12/2019Redes y Cloud comunitariosMIN DE ECONOMIA Y COMPETITIVIDAD
28/11/201601/02/2019STF-524: Desarrollo de estándares europeos de validación y firma electrónica sobre identificación y servicios fiables para transacciones electrónicas (según Reglamento EU No 910/2014)ETSI
28/11/201631/08/2018'Specialist Task Force' (STF) 524 on Standards for eIDAS trust services including electronic signatures Í trust services for signature validation.Comisión Europea
15/11/201614/11/2017Extending Hybrid Cloud Towards EdgeIBM RESEARCH
01/11/201631/10/2018Criminal Justice Access to Digital Evidences in the Cloud - LIVE_FORensicsEUR COM DG JUSTICE AND CONSUMERS
01/11/201631/10/2019Combining guaranteed minimum income and active social policies in deprived urban areas of BarcelonaCommission of European Communities
31/10/201628/02/2019STF-523: Desarrollo de estándares europeos para soportar la prestación de servicios fiables de entrega electrónica certificadaETSI
31/10/201628/02/2019Specialist Task Force STF 523 (TC ESI) Standards for eIDAS trust services – electronic registered delivery and registered electronic mailComisión Europea
21/10/201621/10/2016Accessing data stored in a database system
20/10/201631/12/2016Plugtest ASiC 2016: Tareas de soporte a la preparación, conducción y posterior informe de un evento de interoperabilidadETSI
01/10/201631/10/2018Fast Data-Path Open Overlays (FD.io/OOR)SILICON VALLEY COMMUNITY FOUNDATION
01/09/201631/12/2017Programa d'APS de la UPC per donar suport TIC a les entitats socialsAjuntament de Barcelona
29/07/201628/01/2020Anàlisi i optimització d'infraestructures de xarxa i serveis digitals de comunsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/06/201631/12/2018Actualización y mantenimiento del comprobador de conformidad de las listas de prestatarios de servicios fiablesETSI
23/05/201622/05/2017LG-BSC contract 2016LG Mobile
09/05/201608/05/2018Assessment of Performance in current ATM operations and of new Concepts of operations for its Holistic EnhancementCommission of European Communities
01/05/201630/04/2019Enhancing critical infraestructure protection with innovative security frameworkCommission of European Communities
27/04/201627/10/2018Cloud-based Monitoring Service for Software Defined Networks (Phase 2)Comissió Europea
01/04/201631/03/2018Wake vortex simulation and analysis to enhance en-route separation management in EuropeCommission of European Communities
01/04/201630/05/2016eSigPlugtest 2016ETSI
01/04/201631/03/2020Lenovo BSC Master Collaboration Agreement 2015Lenovo Spain SL
01/03/201631/12/2019IBM-BSC Deep Learning CentreIBM
29/01/201631/12/2016Adecuación herramientas seguridad en puesto de trabajo y entornos móvilesMNEMO EVOLUT. & INTEGRATION SERV SA
01/01/201631/03/2019Collective Awareness Platform for Tropospheric OzoneCommission of European Communities
01/01/201631/12/2018Network Infraestructure as CommonsCommission of European Communities
01/01/201631/12/2019Secure GENomic information COMpressionMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2020Computación de altas prestaciones VIIMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2018Gestión de una arquitectura cloud jerárquica para escenarios IoT: Fogging cloudMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201630/06/2019Educación e innovación social para la sostenibilidad. Formación en las Universidades españolas de profesionales como agentes de cambio para afrontar los retos de la sociedad.MIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201631/12/2020ICREA ACADEMIA 2015-05INSTITUCIO CAT DE RECERCA I
01/01/201631/12/2019Evaluación de código abierto de herramientas para la generación y validación de firmas AdES y de edición de listas de prestatarios de servicios de certificación en estados miembros de la UESEALED s.p.r.l.
01/01/201631/12/2019BSC Severo Ochoa Program 2MINECO. Secretaria de Estado de Investigación, Desarrollo e Innovación.
01/01/201628/02/2018687698 - HIPEAC 4 - European Network of Excellence on HighPerformance Embedded Architecture and CompilersEuropean Horizon 2020. Funding scheme: CSA - Coordination & Support Action. Topic: ICT-04-2015
01/01/201631/12/2019Computacion de Altas Prestaciones VIIMINECO. Secretaria de Estado de Investigación, Desarrollo e Innovación.
19/11/201518/05/2019Definition of new WAN paradigms enabled by MPTCP technologyAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/11/201531/10/2016Open DPDK encapsulation (LISP, VXAN and GPE): performance and optimizationSILICON VALLEY COMMUNITY FOUNDATION
01/10/201531/12/2016Programa Pilot d’Aprenentatge-Servei de la UPC, suport TIC Entitats SocialsAjuntament de Barcelona
01/10/201530/09/2016IEEE Simposio Internacional en Arquitecturas de Alto RendimientoMIN DE ECONOMIA Y COMPETITIVIDAD
01/10/201530/09/2017Elastics Networks: Nuevos paradigmas de Redes Elásticas para un mundo radicalmente basado en Cloud y Fog ComputingUniversitat Politècnica de Catalunya
01/09/201531/08/2019HACIA LAS COMUNICACIONES RF BASADAS EN GRAFENO DEMOSTRANDO LAS ANTENAS DE GRAFENOMIN DE ECONOMIA Y COMPETITIVIDAD
01/09/201531/12/2016VolTIC 2015Ajuntament de Barcelona
26/08/201526/08/2015Support for Speculative Ownership without Data - continuation
19/08/201518/08/2017Next Generation Drone-Based Spectral Systems for Environmental MonitorinUNIVERSITY CORPORATION
05/08/201530/11/2015XAdES Plugtest 2015ETSI
25/07/201531/01/2016Tender MARKT/2014/039/E. Análisis/'black box/' de herramientas de generación y validación de firmas electrónicas acordes a los perfiles básicos estandarizados por ETSI.SEALED s.p.r.l.
15/06/201514/10/2015Experimentation with Network Polygraph in the Fed4FIRE testbed (POLYTEST)Comissió Europea
11/06/201531/12/2015Ampliació de la xarxa Wifi a l'escola i formació dels professors en eines educatives TIC i manteniment del recursos, Pikine-Dakar, SenegalCentre de Cooperació per al Desenvolupament , UPC
11/06/201531/12/2015Seminari i desplegament d’una xarxa mesh comunitaria sense fil per educació i recerca al Mekele Institute of Technology, EtiòpiaCentre de Cooperació per al Desenvolupament , UPC
02/06/201502/06/2015Frequency and Voltage Scaling Architecture - Continuation
01/06/201531/05/2017Coordinating European Research on Molecular CommunicationsCommission of European Communities
18/05/201530/04/2016Multilayer IP/WDM Planning Algorithms for WAN Automation (WAE)CISCO SYSTEMS
01/05/201501/11/2018Information technologies for shift to railCommission of European Communities
01/05/201530/04/2016Acuerdo con RED.ES para la colaboración de la UPC en el proyecto europeo/'Multi-Gigabit European research and Education Network and Associated Services - GN4/'RED.ES
01/05/201530/04/2016GN4-1 Research and Education Networking - GÉANTCommission of European Communities
15/04/201530/08/2015Tareaas de soporte a la preparación, conducción y posterior informe de un evento de interoperabilidad sobre firmas electronicas CAdES.ETSI
14/04/201530/11/2015Assessorament i intercanvis d'informació en smart cities i internet of thingsBCN.SUPERCOMPUTING CENTER
01/04/201531/10/2015Cloud-based Visibility Service for Software Defined Networks (Phase 1)Comisión Europea
15/03/201530/06/2015PAdES Plugtest 2015ETSI
02/03/201502/03/2015Multipath Provisioning of L4-L7 Traffic in a Network
01/03/201530/06/2015Curso de Gestión de Proyectos InformáticosSIEMENS HEALTHCARE DIAGNOSTICS,S.L.
01/03/201528/02/2016Collective enHanced Environment for Social TasksCommission of European Communities
01/02/201531/01/2018AXIOMComisión Europea
01/02/201531/01/2016CrowdFIEMIN DE ECONOMIA Y COMPETITIVIDAD
27/01/201530/04/2015Grant to support the TMA PhD School 2015ACM-SIGCOMM
14/01/201513/01/2018Use of graph databases in industrial environmentsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
01/01/201531/12/2017Service-oriented hybrid optical network and cloud infrastructure featuring high throughput and ultra-low latencyMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201531/12/2017Infraestructura de Red Sostenible para la Futura Sociedad DigitalMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201531/12/2015Plataforma Conciencia Colectiva para la contaminación por ozono troposféricoMIN DE ECONOMIA Y COMPETITIVIDAD
01/01/201530/06/2016TECCIT15-1-0010: Pla d'Actuació en transferència tecnològica 2015 (DAMA)ACC10
01/01/201531/12/2018Computación de Altas Prestaciones VIIMinisterio de Ciencia e Innovación
01/01/201530/06/2016Support IT solution for creative fashion designers by integrated software systems to collect, define and visualize textile and clothing trends through innovative image analysis from open dataCommission of European Communities
27/06/201313/11/2017Contracte 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
01/06/202031/05/2024UPC-Computación de Altas Prestaciones VIIIAGENCIA ESTATAL DE INVESTIGACION
01/06/202031/05/2023Sistemas informáticos y de red descentralizados con recursos distribuidosAGENCIA ESTATAL DE INVESTIGACION
13/05/202007/05/2021Subcontratación de servicios de Coordinación, Gestión y Dirección de un plan de formación en materia de Ciberseguridad para l’Agència de Ciberseguretat de Catalunya y la dinamización de la formación oEVERIS BPO, SLU
01/05/202001/11/2022A Unified Integrated Remain Well Clear Concept in Airspace D-G Class- URCLeaEDCommission of European Communities
14/04/202014/04/2020Merging 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
07/01/202007/01/2020Disabling 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
01/01/202031/12/2022Monitorización IoT de la calidad del aireAGENCIA ESTATAL DE INVESTIGACION
13/11/201931/12/2020FOOXY - COLLIDER 2019FUNDACIO BARCELONA MOBILE WORLD CAP
01/11/201930/04/2020Fast virtual SoC for advanced GPS algorithm evaluationGENT UNIVERSITEIT
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
01/09/201931/08/2024CoCoUnit: An Energy-Efficient Processing Unit for Cognitive ComputingCommission of European Communities
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
26/06/201926/07/2019Desenvolupament prova de concepte d'arquitectura BIG DATAFUNDACIÓ i2CAT
01/06/201931/05/2021TRaceo y ACompañamiento en el viaje con medios ITAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Inteligencia Artificial aplicada a Grafos para Redes Biológicas y de ComunicacionesAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Prestación de servicios de confianza en nubes periféricos descentralizadas para múltiples entornosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Economía participativa para una plataforma computacional comunitaria descentralizadaAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2021Resiliencia Unificada para Sistemas InformáticosAGENCIA ESTATAL DE INVESTIGACION
01/06/201931/05/2022001-P-001723_Disseny d'acceleradors basats en la tecnologia RISC per a la propera generació de computadors (DRAC)GENCAT - DEPT. D'EMPRESA I OCUPACIO
24/04/201923/04/2022EUROCONTROL -PHDEUROCONTROL AGENCY
19/03/201931/07/2020Mejora de la infraestructura científico-técnica del Departamento de Arquitectura de Computadores de la UPCMinisterio de Ciencia e Innovación
20/02/201920/02/2020Networking Query Language for Mapping Services in Overlay NetworksSILICON VALLEY COMMUNITY FOUNDATION
01/01/201931/12/2022REAL-time monitoring and mitigation of nonlinearCommission of European Communities
01/01/201931/12/2021Gestión 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
01/01/201931/12/2020Drone research laboratory for the integration of mobile communicationsAGENCIA ESTATAL DE INVESTIGACION
22/11/201830/04/2019Conveni de col.laboració en Innovació en CiberseguretatFUNDACIÓ i2CAT
04/10/201829/02/2020STF-560: estándares que definan sintaxis estructurada para políticas de firma electrónica y acciones encaminadas a conseguir la aceptación de los servicios fiables europeos más allá de la UE.ETSI
20/09/201831/12/2019Gift funding to support the research on Network Twin System Modeling for Progressive ComputingFUTUREWEI TECHNOLOGIES INC.
17/07/201801/07/2020Col·laboració per promoure la innovació en els serveis TIC dels diferents àmbits d'acció pública i privada.SBS SEIDOR, S.L.
11/07/201811/07/2018Open Overlay Router
03/07/201803/07/2018Propagating a Prefetching Profile Bit from a Prefetch Queue to a Data Cache to Indicate that a Line Was Prefetched in Response to an Instruction within a Code Region
01/05/201830/04/2021REliable power and time-ConstraInts-aware Predictive management of heterogeneous Exascale systemsEuropean Commission
08/04/201808/04/2018Utilization of Register Checkpointing Mechanism with Pointer Swapping to Resolve Multithreading Mis-speculations
01/03/201831/12/2018Blockchain-based community networksAmmbrTech SCRL
01/03/201828/02/2022Ajut per a contractació RYC-2016-21104AGENCIA ESTATAL DE INVESTIGACION
01/03/201830/09/2018FEDERATION FOR FUTURE RESEARCH EXPERIMENTATION PLUSCommission of European Communities
26/01/201825/01/2019Intelligent routing based on traffic preHUAWEI TECHNOLOGIES CO. LTD
08/01/201831/12/2020Nuevos mecanismos inteligentes para medidas activas y pasivas de red en entornos multiconectadosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Diseñando una infraestructura de red 5G definida mediante conocimiento hacia la próxima sociedad digitalAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Gestión y Análisis de Datos ComplejosAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020CogniTive 5G application-aware optical metro netWorks Integrating moNitoring, data analyticS and optimizationAGENCIA ESTATAL DE INVESTIGACION
01/01/201831/12/2020Arquitectura de Computadors d'Altes PrestacionsAgència de Gestió d'Ajuts Universitaris i de Recerca (Agaur)
13/12/201714/06/2021Open Data based real-time urban mobility for car fleetsAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
13/11/201713/11/2017A METHOD AND COMPUTER PROGRAMS FOR IDENTIFYING VIDEO STREAMING QOE FROM NETWORK TRAFFIC
01/10/201730/09/2018CPU Steal Time in Linux Container Based InfrastructuresAmazon Web Services Inc.
25/09/201701/11/2019Concepción y coordinación del desarrollo de un sistema Big DataINTELLIGENT CLIENT DATA SERVICES SL
25/09/201701/11/2019Plataforma on-line tratam BigDataINTELLIGENT CLIENT DATA SERVICES SL
01/09/201731/08/2021Technology Transfer via Multinational Application ExperimentsCommission of European Communities
01/09/201730/11/2019Concept of Operations for EuRopean UTM SystemsCommission of European Communities
01/09/201730/09/2020My Travel CompanionCommission of European Communities
24/07/201724/07/2018Network Machine Learning: High-Value UseHUAWEI TECHNOLOGIES CO. LTD
10/07/201710/07/2017Sistema y procedimiento para el control a la adherencia de tratamientos médicos
13/06/201713/06/2017Disabling cache portions during low voltage operations - second continuation
01/06/201730/06/2020End-to-End Cognitive Network Slicing and Slice Management Framework in Virtualised Multi-Domain, Multi-Tenant 5G NetworksCommission of European Communities
01/06/201731/05/2020METRO High bandwidth, 5G Application-aware optical network, with edge storage,Commission of European Communities
01/06/201731/12/2020Performance evaluation of the Staflow SystemSTARFLOW, S.L.
29/05/201729/05/2017Managing task dependency
18/05/201717/07/2017Desenvolupament d'un frontend basat en tecnologia web i un interface amb una plataforma d'anàlisi de dades basada en web services en l'àmbit del màrqueting i publicitatESPACIO INVERSOR 5000, SL
01/05/201731/10/2017Federated Interoperable Semantic IoT/cloud Testbeds and ApplicationsCommission of European Communities
01/03/201731/10/2019Encapsulado de herramientas virtual para una gestión robusta de la heterogeneidad entre capas en sistemas ciberfísicos complejosAGENCIA ESTATAL DE INVESTIGACION
08/02/201731/12/2020C-ROADS SPAINCommission of European Communities
05/01/201728/02/2019RPAS-CAFEEUROCONTROL AGENCY
01/01/201730/06/2020VisorSurf - A Hardware Platform for Software-driven Functional MetasurfacesCommission of European Communities
01/01/201731/12/2019Lightweight Computation for Networks at the EdgeCommission of European Communities
01/01/201731/12/2019Towards an Open, Secure, Decentralized and Coordinated Fog-to-Cloud Management EcosystemCommission of European Communities
01/01/201731/12/2021ICREA ACADEMIA 2016-02INSTITUCIO CAT DE RECERCA I
01/01/201731/12/2018TRUst-Enhancing certified Solutions for SEcurity and protection of Citizens’ rights in digital EuropeCommission of European Communities
01/01/201731/12/2018PROGRAMAS DE FORMACIÓN PROFESIONAL EN CIBERSEGURIDAD VIVETFUNDACION APWG EUROPEAN UNION FOUND
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01/01/201631/12/2020ICREA ACADEMIA 2015-05INSTITUCIO CAT DE RECERCA I
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19/11/201518/05/2019Definition of new WAN paradigms enabled by MPTCP technologyAGAUR. Agència de Gestió d'Ajuts Universitaris i de Recerca
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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

    Up