Enviaments recents

  • On the representativeness of convolutional neural networks layers 

    García Gasulla, Darío; Moreno, Jonatan; Ramos-Pollan, Raúl; Casadiegos Barrios, Romel; Béjar Alonso, Javier; Cortés García, Claudio Ulises; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Suzumura, Toyotaro (IOS PRESS EBOOKS, 2016)
    Capítol de llibre
    Accés obert
    Convolutional Neural Networks (CNN) are the most popular of deep network models due to their applicability and success in image processing. Although plenty of effort has been made in designing and training better discriminative ...
  • Multiple target task sharing support for the OpenMP accelerator model 

    Ozen, Guray; Mateo, Sergi; Ayguadé Parra, Eduard; Labarta, Jesús; Beyer, James B. (Springer, 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    The use of GPU accelerators is becoming common in HPC platforms due to the their effective performance and energy efficiency. In addition, new generations of multicore processors are being designed with wider vector units ...
  • The secrets of the accelerators unveiled: tracing heterogeneous executions through OMPT 

    Llort, German; Filgueras Izquierdo, Antonio; Jiménez-González, Daniel; Servat, Harald; Teruel, Xavier; Mercadal, Estanislao; Álvarez, Carlos; Giménez, Judit; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Labarta, Jesús (Springer, 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Heterogeneous systems are an important trend in the future of supercomputers, yet they can be hard to program and developers still lack powerful tools to gain understanding about how well their accelerated codes perform ...
  • Chapter One – An Overview of Architecture-Level Power- and Energy-Efficient Design Techniques 

    Ratković, Ivan; Bežanić, Nikola; Unsal, Osma S.; Cristal, Adrian; Milutinović, Veljko (Elsevier, 2015)
    Capítol de llibre
    Accés obert
    Power dissipation and energy consumption became the primary design constraint for almost all computer systems in the last 15 years. Both computer architects and circuit designers intent to reduce power and energy (without ...

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