Recent Submissions

  • Experience replay and zero-shot clustering for continual learning in diabetic retinopathy detection 

    Bravo Rocca, Gusseppe Jesus; Liu, Peini; Guitart Fernández, Jordi; Dholakia, Ajay; Ellison, David; Carrillo Larco, Rodrigo M. (SciTePress, 2025)
    Conference lecture
    Open Access
    We present an approach to mitigate catastrophic forgetting in Continual Learning (CL), focusing on domain incremental scenarios in medical imaging. Our method leverages Large Language Models (LLMs) to generate task-agnostic ...
  • Towards generalizable Federated Learning in medical imaging: a real-world case study on mammography data 

    Tzortzis, Ioannis N.; Gutiérrez Torre, Alberto; Sykiotis, Stavros; Agulló López, Ferran; Bakalos, Nikolaos; Doulamis, Anastasios; Doulamis, Nikolaos; Berral García, Josep Lluís (Elsevier, 2025-03-20)
    Article
    Open Access
    Federated Learning has been rapidly gaining in popularity in medical applications, due to the increased privacy offered, since medical data doesn't need to leave the hospitals' premises for AI model training. However, a ...
  • Context matters: contextual value-based deliberation in water consumption scenarios 

    Oliva Felipe, Luis Javier; Lobo, Inês; Mckinlay, Jack; Dignum, Frank; de Vos, Marina; Cortés García, Claudio Ulises; Cortés Martínez, Atia (Springer, 2024)
    Conference report
    Restricted access - publisher's policy
    Values and context are important in an agent’s decision-making process. Individuals may prioritise values differently, and changing context can also necessitate different considerations. In this paper, we use Schwartz’s ...
  • Evaluation of heuristic task-to-thread mapping using static and dynamic approaches 

    Samadi Gharajeh, Mohammad; Carvalho, Tiago; Pinho, Luis Miguel; Royuela Alcázar, Sara (Springer, 2024-12-21)
    Part of book or chapter of book
    Restricted access - publisher's policy
    The increasing needs for high-performance computing capabilities in real-time systems is pushing the need for the use of complex parallel and heterogeneous platforms. This complicates and even invalidates the use of ...
  • SafeSU-2 L: an advanced multicore interference statistics unit for a RISC-V space SoC 

    Bas Jalón, Francisco; Alcaide Portet, Sergi; Cabo Pitarch, Guillem; Lasfar, Ilham; Chang, Feng; Fuentes Díaz, Francisco Javier; Canal Corretger, Ramon; Benedicte Illescas, Pedro; Rodríguez Rivas, Juan Carlos; Abella Ferrer, Jaume (Institute of Electrical and Electronics Engineers (IEEE), 2025-04)
    Article
    Open Access
    Multicores for critical real-time embedded systems (CRTES) may experience interference across tasks running in different cores when accessing shared hardware resources such as shared caches and memory controllers. Precise ...
  • The European master for HPC curriculum 

    Bouvry, Pascal; Brorsson, Mats; Canal Corretger, Ramon; Eftekhari, Aryan; Höfinger, Siegfried; Smets, Didier; Köstler, Harald; Kozubek, Tomáš; Krishnasamy, Ezhilmathi; Llosa Espuny, José Francisco; Lukas Rother, Alexandra; Martorell Bofill, Xavier; Pleiter, Dirk; Proykova, Ana; Sancho Samsó, María Ribera; Schenk, Olaf; Silvano, Cristina (Elsevier, 2025-07)
    Article
    Open Access
    The use of High-Performance Computing (HPC) is crucial for addressing various grand challenges. While significant investments are made in digital infrastructures that comprise HPC resources, its realisation, operation, ...
  • QuickEd: high-performance exact sequence alignment based on bound-and-align 

    Doblas Font, Max; Lostes Cazorla, Óscar; Aguado Puig, Quim; Iñiguez Rodríguez, Cristian; Moretó Planas, Miquel; Marco Sola, Santiago (Oxford University Press, 2025-03-04)
    Article
    Open Access
    Motivation: Pairwise sequence alignment is a core component of multiple sequencing-data analysis tools. Recent advancements in sequencing technologies have enabled the generation of longer sequences at a much lower price. ...
  • Portability and scalability evaluation of large-scale statistical modeling and prediction software through HPC-ready containers 

    Abdulah, Sameh; Ejarque Artigas, Jorge; Marzouk, Omar; Ltaief, Hatem; Sun, Ying; Genton, Marc G.; Badia Sala, Rosa Maria; Keyes, David E. (Elsevier, 2024-12)
    Article
    Restricted access - publisher's policy
    HPC-based applications often have complex workflows with many software dependencies that hinder their portability on contemporary HPC architectures. In addition, these applications often require extraordinary efforts to ...
  • Extreme-scale workflows: a perspective from the JLESC international community 

    Yildiz, Orcun; Gueroudji, Amal; Bigot, Julien; Raffin, Bruno; Badia Sala, Rosa Maria; Peterka, Tom (Elsevier, 2024-12)
    Article
    Restricted access - publisher's policy
    The Joint Laboratory for Extreme-Scale Computing (JLESC) focuses on software challenges in high-performance computing systems to meet the needs of today’s science campaigns, which often require large resources, consist of ...
  • On the deployment of an AI-driven power control mechanism for D-MIMO in beyond 5G scenarios 

    Pérez Romero, Jordi; Tuna, Ömer Faruk; Sallent Roig, Oriol; Bartzoudis, Nikolaos; Kartsakli, Elli; Kolawole, Oluwatayo; Vilà Muñoz, Irene; Serrano, Maria A.; Gülen, Utku (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference lecture
    Open Access
    The evolution beyond the Fifth Generation (5G) of mobile communications systems is expected to exploit different advanced radio access techniques, such as distributed multiple input multiple output (D-MIMO), together with ...
  • Reinforcement learning-based adaptive mitigation of uncorrected DRAM errors in the field 

    Boixaderas Coderch, Isaac; Moré Codina, Sergi; Bartolomé Rodríguez, Javier; Vicente Dorca, David; Radojkovic, Petar; Carpenter, Paul Matthew; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Scaling to larger systems, with current levels of reliability, requires cost-effective methods to mitigate hardware failures. One of the main causes of hardware failure is an uncorrected error in memory, which terminates ...
  • Irregular self-similar configurations of shock-wave impingement on shear layers 

    Martínez Ruiz, Daniel; Huete Ruiz de Lira, César; Martínez Ferrer, Pedro José; Mira Martínez, Daniel (2019-08-10)
    Article
    Open Access
    An oblique shock impinging on a shear layer that separates two uniform supersonic streams, of Mach numbers M1 and M2, at an incident angle si can produce regular and irregular interactions with the interface. The region ...

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