Now showing items 1-4 of 4

    • A scalable synthetic traffic model of Graph500 for computer networks analysis 

      Fuentes Sáez, Pablo; Benito, Mariano; Vallejo, Enrique; Bosque Orero, José Luis; Beivide Palacio, Ramon; Anghel, Andreea; Rodríguez Herrera, Germán; Gusat, Mitch; Minkenberg, Cyriel; Valero Cortés, Mateo (2017-12-25)
      Article
      Open Access
      The Graph500 benchmark attempts to steer the design of High-Performance Computing systems to maximize the performance under memory-constricted application workloads. A realistic simulation of such benchmarks for architectural ...
    • Auto-tuned OpenCL kernel co-execution in OmpSs for heterogeneous systems 

      Pérez, Borja; Stafford, Esteban; Bosque Orero, José Luis; Beivide Palacio, Ramon; Mateo Bellido, Sergi; Teruel García, Xavier; Martorell Bofill, Xavier; Ayguadé Parra, Eduard (2019-03-01)
      Article
      Open Access
      The emergence of heterogeneous systems has been very notable recently. The nodes of the most powerful computers integrate several compute accelerators, like GPUs. Profiting from such node configurations is not a trivial ...
    • CATA: Criticality aware task acceleration for multicore processors 

      Castillo, Emilio; Moreto Planas, Miquel; Casas, Marc; Álvarez Martí, Lluc; Vallejo, Enrique; Chronaki, Kallia; Badia Sala, Rosa Maria; Bosque Orero, José Luis; Beivide Palacio, Julio Ramón; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José; Valero Cortés, Mateo (Institute of Electrical and Electronics Engineers (IEEE), 2016)
      Conference report
      Open Access
      Managing criticality in task-based programming models opens a wide range of performance and power optimization opportunities in future manycore systems. Criticality aware task schedulers can benefit from these opportunities ...
    • Characterizing the communication demands of the Graph500 benchmark on a commodity cluster 

      Fuentes, Pablo; Bosque Orero, José Luis; Beivide Palacio, Ramon; Valero Cortés, Mateo; Minkenberg, Cyriel (Institute of Electrical and Electronics Engineers (IEEE), 2014)
      Conference report
      Open Access
      Big Data applications have gained importance over the last few years. Such applications focus on the analysis of huge amounts of unstructured information and present a series of differences with traditional High Performance ...