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 ...
  • Practically tackling memory bottlenecks of graph-processing workloads 

    Jamet, Alexandre Valentin; Vavouliotis, Georgios; Jiménez, Daniel A.; Álvarez Martí, Lluc; Casas, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Graph-processing workloads have become widespread due to their relevance on a wide range of application domains such as network analysis, path- planning, bioinformatics, and machine learning. Graph-processing workloads ...
  • Enabling high-level parallel programming on multi-FPGA clusters 

    Haro Ruiz, Juan Miguel de; Álvarez Martínez, Carlos; Jiménez González, Daniel; Martorell Bofill, Xavier (Association for Computing Machinery (ACM), 2024)
    Conference report
    Open Access
    Field Programmable Gate Arrays (FPGA) are still relatively new in the High Performance Computing (HPC) field. Hence, they still lack a mature ecosystem that allows non-FPGA experts to scale an application with many devices ...
  • 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. ...
  • Extending the OCATA digital twin for optical connections based on digital subcarrier multiplexing 

    Devigili, Mariano; Sequeira, Diogo Gonçalo; Ruiz Ramírez, Marc; Costa, Nelson; Castro, Carlos; Napoli, Antonio; Pedro, João; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Time-domain digital twin models for single carrier and DSCM signals are developed that propagate features to estimate the impact of filter penalties on the BER. Results show remarkable accuracy, which is used for lightpath ...
  • 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 ...
  • NeRFLight: Fast and Light Neural Radiance Fields using a shared feature grid 

    Rivas-Manzaneque, Fernando; Sierra Acosta, Jorge; Peñate Sánchez, Adrián; Moreno-Noguer, Francesc; Ribeiro Seijas, Angela (Institute of Electrical and Electronics Engineers (IEEE), 2023)
    Conference report
    Open Access
    While original Neural Radiance Fields (NeRF) have shown impressive results in modeling the appearance of a scene with compact MLP architectures, they are not able to achieve real-time rendering. This has been recently ...
  • Energy-efficient object detection: impact of weight clustering for different arithmetic representations 

    Caro Roca, Martí; Abella Ferrer, Jaume (Springer, 2024)
    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 ...
  • Harnessing the computing continuum across personalized healthcare, maintenance and inspection, and Farming 4.0 

    Baghdadi, Fatemeh; Cirillo, Davide; Lezzi, Daniele; Lordan Gomis, Francesc-Josep; Vázquez Novoa, Fernando; Lomurno, Eugenio; Archetti, Alberto; Ardagna, Danilo; Matteucci, Matteo (SciTePress, 2024)
    Conference report
    Open Access
    The AI-SPRINT project, launched in 2021 and funded by the European Commission, focuses on the development and implementation of AI applications across the computing continuum. This continuum ensures the coherent integration ...
  • ALPI: Enhancing portability and interoperability of task-aware libraries 

    Sala Penadés, Kevin; Álvarez Robert, David; Peñacoba Veigas, Raúl; Arias Mallo, Rodrigo; Navarro Muñoz, Antoni; Roca Nonell, Aleix; Beltran Querol, Vicenç (2024)
    Conference report
    Restricted access - publisher's policy
    Task-based programming models are a promising approach to exploiting complex distributed and heterogeneous systems. However, integrating different communication, offloading, and storage APIs within tasks poses performance ...
  • 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 ...

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