Recent Submissions

  • 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 ...
  • Towards EXtreme scale technologies and accelerators for euROhpc hw/Sw supercomputing applications for exascale: The TEXTAROSSA approach 

    Agosta, Giovanni; Aldinucci, Marco; Álvarez Martínez, Carlos; Ammendola, Roberto; Arfat, Yasir; Beaumont, Olivier; Bernaschi, Massimo; Filgueras Izquierdo, Antonio; Martorell Bofill, Xavier; Vidal, Miquel (2022-11)
    Article
    Restricted access - publisher's policy
    In the near future, Exascale systems will need to bridge three technology gaps to achieve high performance while remaining under tight power constraints: energy efficiency and thermal control; extreme computation efficiency ...
  • Comparison of Artificial Intelligence Control Strategies for a Peristaltically Pumped Low-Pressure Driven Membrane Process 

    Diéz, José Luís; Masip Moret, Vicente; Santafé Moros, Asunción; Gozálvez Zafrilla, José M. (MDPI, 2022)
    Article
    Open Access
    Peristaltic pumping is used in membrane applications where high and sterile sealing is required. However, control is difficult due to the pulsating pump characteristics and the time-varying properties of the system. In ...
  • Vector extensions in COTS processors to increase guaranteed performance in real-time systems 

    Pujol Torramorell, Roger; Jorba Jorba, Josep; Tabani, Hamid; Kosmidis, Leonidas; Mezzetti, Enrico; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (2022-08-31)
    Article
    Open Access
    The need for increased application performance in high-integrity systems like those in avionics is on the rise as software continues to implement more complex functionalities. The prevalent computing solution for future ...
  • A closer look at referring expressions for video object segmentation 

    Bellver Bueno, Míriam; Ventura Royo, Carles; Silberer, Carina; Kazakos, Ioannis; Torres Viñals, Jordi; Giró Nieto, Xavier (2022-07-27)
    Article
    Open Access
    The task of Language-guided Video Object Segmentation (LVOS) aims at generating binary masks for an object referred by a linguistic expression. When this expression unambiguously describes an object in the scene, it is ...
  • The holistic perspective of the INCISIVE Project: artificial intelligence in screening mammography 

    Lazic, Ivan; Agulló López, Ferran; Aussó Trias, Susanna; Alves, Bruno; Barelle, Caroline; Berral García, Josep Lluís; Bizopoulos, Paschalis; Bunduc, Oana; Gutiérrez Torre, Alberto (Multidisciplinary Digital Publishing Institute, 2022-08-31)
    Article
    Open Access
    Finding new ways to cost-effectively facilitate population screening and improve cancer diagnoses at an early stage supported by data-driven AI models provides unprecedented opportunities to reduce cancer related mortality. ...
  • A BF16 FMA is all you need for DNN training 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Petit, Eric; Henry, Greg; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2022-07-01)
    Article
    Open Access
    Fused Multiply-Add (FMA) functional units constitute a fundamental hardware component to train Deep Neural Networks (DNNs). Its silicon area grows quadratically with the mantissa bit count of the computer number format, ...
  • Burst-aware predictive autoscaling for containerized microservices 

    Abdullah, Muhammad; Iqbal, Waheed; Berral García, Josep Lluís; Polo Bardés, Jorda; Carrera Pérez, David (2022-05-01)
    Article
    Open Access
    Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality-of-Service (QoS). The public-facing application serves dynamic workloads, which contain bursts ...
  • Prognostic implications of comorbidity patterns in critically ill COVID-19 patients: A multicenter, observational study 

    Benítez Iglesias, Iván D.; Batlle, Jordi de; Torres Cortada, Gerard; González Gutiérrez, Jessica; de Gonzalo Calvo, David; Targa, Adriano D. S.; Gort Paniello, Clara; Moncusí Moix, Anna; Ceccato, Adrián; Fernández Barat, Laia; Ferrer Roca, Ricard; Garcia Gasulla, Dario (Elsevier, 2022-07)
    Article
    Open Access
    Background: The clinical heterogeneity of COVID-19 suggests the existence of different phenotypes with prognostic implications. We aimed to analyze comorbidity patterns in critically ill COVID-19 patients and assess their ...
  • ICU-acquired pneumonia is associated with poor health post-COVID-19 syndrome 

    Martin Loeches, Ignacio; Motos Galera, Ana; Menéndez Villanueva, Rosario; Gabarrús, Albert; González Gutiérrez, Jessica; Fernández Barat, Laia; Ceccato, Adrián; Pérez Arnal, Raquel Leandra; Garcia Gasulla, Dario (Multidisciplinary Digital Publishing Institute (MDPI), 2021-12-31)
    Article
    Open Access
    Some patients previously presenting with COVID-19 have been reported to develop persistent COVID-19 symptoms. While this information has been adequately recognised and extensively published with respect to non-critically ...

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