• Evaluating the effect of last-level cache sharing on integrated GPU-CPU systems with heterogeneous applications 

      García Flores, Víctor; Gomez Luna, J.; Grass, Thomas Dieter; Rico, Alejandro; Ayguadé Parra, Eduard; Pena, A. J. (Institute of Electrical and Electronics Engineers (IEEE), 2016)
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      Heterogeneous systems are ubiquitous in the field of High- Performance Computing (HPC). Graphics processing units (GPUs) are widely used as accelerators for their enormous computing potential and energy efficiency; ...
    • On the optimality of concurrent container clusters scheduling over heterogeneous smart environments 

      Asensio Garcia, Adrian; Masip Bruin, Xavier; García Almiñana, Jordi; Sánchez López, Sergio (Elsevier, 2021-05-01)
      Article
      Accés obert
      Smart environments rely on the cloud for most computation activities; however, leveraging the availability of resources at the edge could complement the cloud capabilities to provide a resources continuum spectrum that ...
    • P-Means, a parallel clustering algorithm for a heterogeneous multi-processor environment 

      Foina, Aislan G.; Planas Carbonell, Judit; Badia Sala, Rosa Maria; Ramirez-Fernandez, Francisco Javier (Institute of Electrical and Electronics Engineers (IEEE), 2011)
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      G-means is a data mining clustering algorithm based on k-means, used to find the number of Gaussian distributions and their centers inside a multi-dimensional dataset. This paper presents the performance gain obtained from ...