Recent Submissions

  • Evaluation of joint controller placement for latency and reliability-aware control plane 

    Rasol, Kurdman Abdulrahman Rasol; Domingo Pascual, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference lecture
    Open Access
    The separation of the forwarding and control planes in software-defined networking provides flexibility for network management. The Controller Placement Problem (CPP) is an important issue affecting network performance. ...
  • An FPGA accelerator of the wavefront algorithm for genomics pairwise alignment 

    Haghi, Abbas; Marco-Sola, Santiago; Álvarez Martí, Lluc; Diamantopoulos, Dionysios; Hagleitner, Christoph; Moreto Planas, Miquel (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    In the last years, advances in next-generation sequencing technologies have enabled the proliferation of genomic applications that guide personalized medicine. These applications have an enormous computational cost due to ...
  • TCOR: a tile cache with optimal replacement 

    Joseph, Diya; Aragón, Juan Luis; Parcerisa Bundó, Joan Manuel; González Colás, Antonio María (Institute of Electrical and Electronics Engineers (IEEE), 2022)
    Conference report
    Open Access
    Cache Replacement Policies are known to have an important impact on hit rates. The OPT replacement policy [27] has been formally proven as optimal for minimizing misses. Due to its need to look far ahead for future memory ...
  • Dynamically adapting floating-point precision to accelerate deep neural network training 

    Osorio Ríos, John Haiber; Armejach Sanosa, Adrià; Petit, Eric; Henry, Greg; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Mixed-precision (MP) arithmetic combining both single- and half-precision operands has been successfully applied to train deep neural networks. Despite its advantages in terms of reducing the need for key resources like ...
  • Multilevel simulation-based co-design of next generation HPC microprocessors 

    Zaourar, Lilia; Benazouz, Mohamed; Mouhagir, Ayoub; Jebali, Fatma; Sassolas, Tanguy; Weill, Jean Christophe; Radulović, Milan; Martínez Palau, Francesc; Armejach Sanosa, Adrià; Casas Guix, Marc (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    This paper demonstrates the combined use of three simulation tools in support of a co-design methodology for an HPC-focused System-on-a-Chip (SoC) design. The simulation tools make different trade-offs between simulation ...
  • JACC: An OpenACC runtime framework with kernel-level and multi-GPU parallelization 

    Matsumura, Kazuaki; García de Gonzalo, Simón; Peña Monferrer, Antonio José (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The rapid development in computing technology has paved the way for directive-based programming models towards a principal role in maintaining software portability of performance-critical applications. Efforts on such ...
  • Performance evaluation of data-centric workloads in serverless environments 

    Nestorov, Anna Maria; Polo Bardés, Jorda; Misale, Claudia; Carrera Pérez, David; Youssef, Alaa (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Serverless computing is a cloud-based execution paradigm that allows provisioning resources on-demand, freeing developers from infrastructure management and operational concerns. It typically involves deploying workloads ...
  • Memory demands in disaggregated HPC: How accurate do we need to be? 

    Vieira Zacarias, Felippe; Carpenter, Paul Matthew; Petrucci, Vinicius (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    Disaggregated memory has recently been proposed as a way to allow flexible and fine-grained allocation of memory capacity, mitigating the mismatch between fixed per-node resource provisioning and the needs of the submitted ...
  • IGNNITION: A framework for fast prototyping of Graph Neural Networks 

    Pujol Perich, David; Suárez-Varela Maciá, José Rafael; Ferriol Galmés, Miquel; Xiao, Shihan; Wu, Bo; Cabellos Aparicio, Alberto; Barlet Ros, Pere (2021)
    Conference report
    Open Access
    Recent years have seen the vast potential of Graph Neural Networks (GNN) in many fields where data is structured as graphs (e.g., chemistry, logistics). However, implementing a GNN prototype is still a cumbersome task that ...
  • Epicentral region estimation using convolutional neural networks 

    Cruz de la Cruz, Stalin Leonel; Tous Liesa, Rubén; Otero Calviño, Beatriz; Alvarado Bermúdez, Leonardo; Mus León, Sergi; Rojas Ulacio, Otilio Jose (Springer Nature, 2022)
    Conference report
    Restricted access - publisher's policy
    Recent works have assessed the capability of deep neural networks of estimating the epicentral source region of a seismic event from a single-station three-channel signal. In all the cases, the geographical partitioning ...
  • PRL: standardizing performance monitoring library for high-integrity real-time systems 

    Giesen León, Jeremy Jens; Mezzetti, Enrico; Abella Ferrer, Jaume; Cazorla Almeida, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    The use of complex processors is becoming ubiquitous in High-Integrity Systems (HIS). To deal with processor’s increased complexity, Performance Monitoring Counters (PMCs) are increasingly used to reason on software behavior ...
  • Lightweight optical constellation modeling by concatenating artificial neural networks 

    Sequeira, Diogo Gonçalo; Ruiz Ramírez, Marc; Costa, Nelson; Napoli, Antonio; Pedro, João; Velasco Esteban, Luis Domingo (Institute of Electrical and Electronics Engineers (IEEE), 2021)
    Conference report
    Open Access
    A lightweight optical constellations modeling method based on concatenating ANNs is proposed. Statistical validation of the reproduced constellations is shown. The method accelerates data generation and facilitates detecting ...

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