Departament d'Arquitectura de Computadors

Recent Submissions

  • Mixed-precision pre-pivoting strategy for the LU factorization 

    Sahraneshinsamani, Nima; Catalán Pallarés, Sandra; Herrero Zaragoza, José Ramón (2025)
    Article
    Open Access
    This paper investigates the efficient application of half-precision floating-point (FP16) arithmetic on GPUs for boosting LU decompositions in double (FP64) precision. Addressing the motivation to enhance computational ...

  • Spatio-temporal characterization of qubit routing in connectivity-constrained quantum processors 

    Ben Rached, Sahar; García Almudever, Carmen; Alarcón Cot, Eduardo José; Abadal Cavallé, Sergi (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Designing efficient quantum processor topologies is pivotal for advancing scalable quantum computing architectures. The communication overhead, a critical factor affecting the execution fidelity of quantum circuits, arises ...

  • Memory Sandbox: A versatile tool for analyzing and optimizing HBM performance in FPGA 

    Perdomo Hourné, Elias Augusto; Martorell Bofill, Xavier; Cervero García, Teresa; Salami, Behzad (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    Main memory access has become an increasing performance bottleneck for traditional and High-Performance Computing (HPC) applications. High Bandwidth Memory (HBM) has emerged as an alternative to conventional DRAMs, offering ...

  • Exposure to fine particulate matter in the New York City subway system during home-work commute 

    Azad, Shams; Ferrer Cid, Pau; Ghandehari, Masoud (Public Library of Science (PLOS), 2024-08-07)
    Article
    Open Access
    The New York City (NYC) subway system accommodates 5.5 million daily commuters, and the environment within the subway is known to have high concentrations of fine particulate matter (PM2.5) pollution. Naturally, subway air ...

  • SkyMap: a generative graph model for GNN benchmarking 

    Wassington, Axel; Abadal Cavallé, Sergi; Higueras, Raúl (Frontiers Media SA, 2024-11-14)
    Article
    Open Access
    Graph Neural Networks (GNNs) have gained considerable attention in recent years. Despite the surge in innovative GNN architecture designs, research heavily relies on the same 5-10 benchmark datasets for validation. To ...

  • Enhancing Kokkos with OpenACC 

    Valero Lara, Pedro; Lee, Seyong; González Tallada, Marc; Denny, Joel; Teranishi, Keita; Vetter, Jeffrey (SAGE publishing, 2024-06-13)
    Article
    Open Access
    C++ template metaprogramming has emerged as a prominent approach for achieving performance portability in heterogeneous computing. Kokkos represents a notable paradigm in this domain, offering programmers a suite of ...

  • Designing a mockup and refactoring code for HPC geo-electromagnetic applications 

    Castillo Reyes, Octavio; Garcia Orihuela, Xavier; Piña Suárez, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Open Access
    This paper presents a comprehensive integration of object-oriented code refactoring within PETGEM, an open-source 3D electromagnetic modeler, aimed at advancing its functionality for geophysical applications in the exascale ...

  • Twining digital subcarrier multiplexed optical signals with OCATA for lightpath provisioning 

    Devigili, Mariano; Sequeira, Diogo Gonçalo; Torres Ferrera, Pablo; Srivallapanondh, Sasipim; Costa, Nelson; Ruiz Ramírez, Marc; Castro, Carlos; Napoli, Antonio; Pedro, João; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2024-11-14)
    Article
    Open Access
    Digital Twins (DT) are needed in elastic optical networks to enable further advance and pave the way towards autonomous networks. Dynamical models self-adjusting with their physical counterpart have to maintain low ...

  • Scenarios for optical encryption using quantum keys 

    Velasco Esteban, Luis Domingo; Ahmadian, Morteza; Ortiz Martín, Laura; Brito Méndez, Juan Pedro; Pastor Perales, Antonio Agustín; Rivas Moscoso, José Manuel; Barzegar, Sima; Comellas Colomé, Jaume; Martín Ayuso, Vicente; Ruiz Ramírez, Marc (Multidisciplinary Digital Publishing Institute (MDPI), 2024-10-01)
    Article
    Open Access
    Optical communications providing huge capacity and low latency remain vulnerable to a range of attacks. In consequence, encryption at the optical layer is needed to ensure secure data transmission. In our previous work, ...

  • A deep learning framework for safety monitoring of a railway section 

    Chriki Zerrouk, Fatima Zohra; Simó Mezquita, Ester; Aguiló Gost, Francisco de Asis L.; Garcia Milà, Ignasi; Masip Bruin, Xavier (Institute of Electrical and Electronics Engineers (IEEE), 2024)
    Conference report
    Restricted access - publisher's policy
    This paper presents an approach for anomaly detection and forecasting that aims to protect the integrity and operational continuity of IoT critical infrastructure, specifically for a railway use case. This system is designed ...

  • Black carbon proxy sensor model for air quality IoT monitoring networks 

    Paredes Ahumada, Juan Antonio; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Association for Computing Machinery (ACM), 2023)
    Conference lecture
    Open Access
    Most Internet of Things (IoT) air quality monitoring networks measure and report regulated pollutants such as O3, NO, NO2, SO2 or CO and PM2.5, PM10 particulates. However, there are pollutants such as black carbon that are ...

  • Quality aware graph learning regularization for heterogeneous air quality sensor networks 

    Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Association for Computing Machinery (ACM), 2023)
    Conference lecture
    Open Access
    In recent years, the graph signal processing (GSP) field has brought signal processing techniques to numerous areas. Among them, graphs have been used for various applications in sensor networks for air quality monitoring. ...

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