Recent Submissions

  • Heuristic-based task-to-thread mapping in multi-core processors 

    Samadi Gharajeh, Mohammad; Royuela Alcázar, Sara; Pinho, Luis Miguel; Carvalho, Tiago; Quiñones Moreno, Eduardo (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    OpenMP can be used in real-time applications to enhance system performance. However, predictability of OpenMP applications is still a challenge. This paper investigates heuristics for the mapping of OpenMP task graphs in ...
  • On the MC/DC code coverage of Vulkan SC GPU code 

    Martín Alemán, Jaime Luis; Agenjo, Antonio; Carretero Jiménez, Sergio; Kosmidis, Leonidas (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Next generation avionics systems require high performance, which can be provided by graphics processing units (GPUs). The newly introduced API Vulkan SC, enables the development of safety critical GPU software with complex ...
  • OmpSs-2@Cluster: Distributed memory execution of nested OpenMP-style tasks 

    Aguilar Mena, Jimmy; Ali, Omar Shaaban Ibrahim; Beltran Querol, Vicenç; Carpenter, Paul Matthew; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Springer Nature, 2022)
    Conference report
    Restricted access - publisher's policy
    State-of-the-art programming approaches generally have a strict division between intra-node shared memory parallelism and inter-node MPI communication. Tasking with dependencies offers a clean, dependable abstraction for ...
  • ETP4HPC’s SRA 5 strategic research agenda for High-Performance Computing in Europe 2022: European HPC research priorities 2023-2027 

    Carpenter, Paul Matthew; Casas Guix, Marc; Unsal, Osman Sabri; Radojkovic, Petar; Martorell Bofill, Xavier; Miranda, Alberto; Guitart Fernández, Jordi; Corbalán González, Julita; Peña Monferrer, Antonio José; Bautista Gomez, Leonardo Arturo; Vázquez García, Miguel; Beltran Querol, Vicenç; Queralt Calafat, Anna; Nou Castell, Ramon; Borrell Pol, Ricard; Houzeaux, Guillaume; Serradell Maronda, Kim; Carrera Pérez, David; García Sáez, Artur; Puchol García, Carlos (2022-09)
    Research report
    Open Access
    This document feeds research and development priorities devel-oped by the European HPC ecosystem into EuroHPC’s Research and Innovation Advisory Group with an aim to define the HPC Technology research Work Programme and ...
  • Functional and timing implications of transient faults in critical systems 

    Kritikakou, Angeliki; Nikolaou, Panagiota; Rodríguez Ferrández, Iván; Paturel, Joseph; Kosmidis, Leonidas; Michael, Maria K.; Sentieys, Olivier; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Embedded systems in critical domains, such as auto-motive, aviation, space domains, are often required to guarantee both functional and temporal correctness. Considering transient faults, fault analysis and mitigation ...
  • Sources of single event effects in the NVIDIA Xavier SoC family under proton irradiation 

    Rodríguez Ferrández, Iván; Tali, Maris; Kosmidis, Leonidas; Rovituso, Marta; Steenari, David (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    In this paper we characterise two embedded GPU devices from the NVIDIA Xavier family System-on-Chip (SoC) using a proton beam. We compare the NVIDIA Xavier NX and Industrial devices, that respectively target commercial and ...
  • Acceleration with long vector architectures: Implementation and evaluation of the FFT kernel on NEC SX-Aurora and RISC-V vector extension 

    Vizcaino Serrano, Pablo; Mantovani, Filippo; Ferrer Ibañez, Roger; Labarta Mancho, Jesús José (Wiley (John Wiley & Sons), 2022-11-02)
    Article
    Restricted access - publisher's policy
    Novel architectures leveraging long and variable vector lengths like the NEC SX-Aurora or the vector extension of RISCV are appearing as promising solutions on the supercomputing market. These architectures often require ...
  • ecoHMEM: Improving object placement methodology for hybrid memory systems in HPC 

    Jordà Peroliu, Marc; Rai, Siddharth; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Peña Monferrer, Antonio José (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Recent byte-addressable persistent memory (PMEM) technology offers capacities comparable to storage devices and access times much closer to DRAMs than other non-volatile memory technology. To palliate the large gap with ...
  • Testing reinforcement learning explainability methods in a multi-agent cooperative environment 

    Domènech Vila, Marc; Gnatyshak, Dmitry; Tormos Llorente, Adrián; Álvarez Napagao, Sergio (IOS Press, 2022)
    Conference report
    Open Access
    The adoption of algorithms based on Artificial Intelligence (AI) has been rapidly increasing during the last years. However, some aspects of AI techniques are under heavy scrutiny. For instance, in many cases, it is not ...
  • Focus and bias: will it blend? 

    Arias Duart, Anna; Parés Pont, Ferran; Giménez Ábalos, Víctor; Garcia Gasulla, Dario (IOS Press, 2022)
    Conference report
    Open Access
    One direct application of explainable AI feature attribution methods is to be used for detecting unwanted biases. To do so, domain experts typically have to review explained inputs, checking for the presence of unwanted ...
  • Deep Air: A smart city AI synthetic data digital twin solving the scalability data problems 

    Almirall, Esteve; Callegaro, Davide; Bruins, Peter; Santamaría Varas, Mar; Martínez Díez, Pablo; Cortés García, Claudio Ulises (IOS Press, 2022)
    Conference report
    Open Access
    Cities are becoming data-driven, re-engineering their processes to adapt to dynamically changing needs. A.I. brings new capabilities, effectively enlarging the space of policy interventions that can be explored and applied. ...
  • Automatic vehicle counting area creation based on vehicle deep learning detection and DBSCAN 

    Alvarez Piña, Gerardo; Moya Sánchez, Eduardo Ulises; Sánchez-Pérez, Abraham; Cortés García, Claudio Ulises (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Deep learning and high-performance computing have augmented and speed-up the scope of video-based vehicles' massive counting. The automatic vehicle counts result from the detection and tracking of the vehicles in certain ...

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