Recent Submissions

  • A comprehensive architecture for federated learning-based smart advertising 

    Seyghaly, Rasool; García Almiñana, Jordi; Masip Bruin, Xavier (Multidisciplinary Digital Publishing Institute (MDPI), 2024-06-09)
    Article
    Open Access
    This paper introduces a cutting-edge data architecture designed for a smart advertising context, prioritizing efficient data flow and performance, robust security, while guaranteeing data privacy and integrity. At the core ...
  • Automated parallel execution of distributed task graphs with FPGA clusters 

    Haro Ruiz, Juan Miguel de; Álvarez Martínez, Carlos; Jiménez González, Daniel; Martorell Bofill, Xavier; Ueno, Tomohiro; Sano, Kentaro; Ringlein, Burkhard; Abel, François; Weiss, Beat (Elsevier, 2024-11)
    Article
    Open Access
    Over the years, Field Programmable Gate Arrays (FPGA) have been gaining popularity in the High Performance Computing (HPC) field, because their reconfigurability enables very fine-grained optimizations with low energy cost. ...
  • Multi-criteria analysis and optimization in the AMPERE ecosystem 

    Royuela Alcázar, Sara; Munera Sánchez, Adrián; Quiñones Moreno, Eduardo; Carvalho, Tiago; Pinho, Luis Miguel; Samadi Gharajeh, Mohammad; Cucinotta, Tommaso; Ara, Gabriele; Paladino, Francesco; Mazzola, Sergio; Benz, Thomas (Association for Computing Machinery (ACM), 2024-06-07)
    Article
    Open Access
    The AMPERE project is developing the next generation of high-performance and energy efficient Cyber-Physical Systems supporting multi-criteria optimization. This paper provides the general overview of the AMPERE approach ...
  • Centralized and distributed approaches to control optical point-to-multipoint systems near-real-time 

    Shakespear Miles, Hailey Josephine; Lin, Q.; Barzegar, Sima; Ruiz Ramírez, Marc; Chen, X.; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers, 2024-05-01)
    Article
    Open Access
    Optical point-to-multipoint (P2MP) connectivity based on digital subcarrier multiplexing (DSCM) has been shown as a solution for the metro-access segment that is able to reduce capital and operational costs and support the ...
  • Energy-efficient object detection: impact of weight clustering for different arithmetic representations 

    Caro Roca, Martí; Abella Ferrer, Jaume (Springer, 2024-05-28)
    Article
    Restricted access - publisher's policy
    Object detection in video streams is often realized with Deep Neural Networks (DNNs), which require fetching, to the computing unit where they are executed, large volumes of weights to process each image of the video. In ...
  • A multidisciplinary model to quantify human uncertainty in human-centric cyber-physical-social systems: A 5G application use case 

    Alzate Mejía, Nestor; Perelló Muntan, Jordi; Santos Boada, Germán; Almeida Amazonas, José Roberto de (Institute of Electrical and Electronics Engineers (IEEE), 2024-05-03)
    Article
    Open Access
    The emerging Human-Centric Networks (HCN) paradigm shifts the passive role of individuals to an active one, intertwining the uncertainty of network resource usage with human dynamics, which are difficult to analyze and ...
  • Multicore workflow characterisation methodology for payloads running in the ALICE Grid 

    Bertran Ferrer, Marta; Grigoras, Costin; Badia Sala, Rosa Maria (EPJ Web of Conferences, 2024-05-06)
    Article
    Open Access
    For LHC Run3 the ALICE experiment software stack has been completely refactored, incorporating support for multicore job execution. Whereas in both LHC Run 1 and 2 the Grid jobs were single-process and made use of a single ...
  • Dynamic scheduling using CPU oversubscription in the ALICE Grid 

    Bertran Ferrer, Marta; Grigoras, Costin; Badia Sala, Rosa Maria (EPJ Web of Conferences, 2024-05-06)
    Article
    Open Access
    The ALICE Grid is designed to perform a realtime comprehensive monitoring of both jobs and execution nodes in order to maintain a continuous and consistent status of the Grid infrastructure. An extensive database of ...
  • A machine learning estimator trained on synthetic data for real-time earthquake ground-shaking predictions in Southern California 

    Monterrubio Velasco, Marisol; Callaghan, Scott; Modesto Galende, David; Carrasco Jiménez, José Carlos; Badia Sala, Rosa Maria; Pallarés Font de Mora, Pablo; Vázquez Novoa, Fernando; Quintana Ortí, Enrique Salvador; Pienkowska, Marta; de la Puente, Josep (Nature, 2024-05-16)
    Article
    Open Access
    After large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and accurately estimate the ground shaking in the affected region. To satisfy real-time constraints, intensity measures are traditionally ...
  • A data-driven framework for air quality sensor networks 

    Ferrer Cid, Pau; Paredes Ahumada, Juan Antonio; Allka, Xhensilda; Guerrero Zapata, Manel; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2024-01-11)
    Article
    Open Access
    In this article, we present our research vision of a framework for obtaining quality data in air quality monitoring networks using low-cost sensors (LCSs). The use of LCS networks is gaining increasing acceptance in many ...
  • GenArchBench: A genomics benchmark suite for arm HPC processors 

    López Villellas, Lorien; Langarita Benítez, Rubén; Badouh, Asaf; Soria Pardos, Víctor; Aguado Puig, Quim; López Paradís, Guillem; Doblas Font, Max; Setoain, Javier; Kim, Chulho; Ono, Makoto; Armejach Sanosa, Adrià; Marco Sola, Santiago; Alastruey Benedé, Jesús; Ibáñez Marín, Pablo; Moretó Planas, Miquel (Elsevier, 2024-08)
    Article
    Open Access
    Arm usage has substantially grown in the High-Performance Computing (HPC) community. Japanese supercomputer Fugaku, powered by Arm-based A64FX processors, held the top position on the Top500 list between June 2020 and June ...
  • Parallel algorithm for discovering and comparing three-dimensional proteins patterns 

    Valdés Jiménez, Alejandro Mauricio; Reyes Parada, Miguel; Núñez Vivanco, Gabriel; Jiménez González, Daniel (Institute of Electrical and Electronics Engineers (IEEE), 2024-05)
    Article
    Open Access
    Identifying conserved (similar) three-dimensional patterns among a set of proteins can be helpful for the rational design of polypharmacological drugs. Some available tools allow this identification from a limited perspective, ...

View more