Enviaments recents

  • Self-tuned software-managed energy reduction in InfiniBand links 

    Dickov, Branimir; Carpenter, Paul M.; Pericas, Miquel; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2015)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    One of the biggest challenges in high-performance computing is to reduce the power and energy consumption. Research in energy efficiency has focused mainly on energy consumption at the node level. Less attention has been ...
  • Task-based crowd simulation for heterogeneous architectures 

    Perez, Hugo; Hernandez, Benjamin; Rudomin, Isaac; Ayguadé Parra, Eduard (2016-07-01)
    Capítol de llibre
    Accés restringit per política de l'editorial
    Industry trends in the coming years imply the availability of cluster computing with hundreds to thousands of cores per chip, as well as the use of accelerators. Programming presents a challenge due to this heterogeneous ...
  • CUDAlign 4.0: incremental speculative traceback for exact chromosome-wide alignment in GPU clusters 

    De Sandes, Edans; Miranda, Guillermo; Martorell Bofill, Xavier; Ayguadé Parra, Eduard; Teodoro, George; de Melo, Alba (2016-10-01)
    Article
    Accés obert
    This paper proposes and evaluates CUDAlign 4.0, a parallel strategy to obtain the optimal alignment of huge DNA sequences in multi-GPU platforms, using the exact Smith-Waterman (SW) algorithm. In the first phase of CUDAlign ...
  • MASA: a multi-platform architecture for sequence aligners with block pruning 

    De Sandes, Edans; Miranda, Guillermo; Martorell, Xavier; Ayguadé Parra, Eduard; Teodoro, George; de Melo, Alba (2016-03-01)
    Article
    Accés obert
    Biological sequence alignment is a very popular application in Bioinformatics used routinely worldwide. Many implementations of biological sequence alignment algorithms have been proposed for multicores, GPUs, FPGAs and ...
  • AXIOM: a flexible platform for the smart home 

    Giorgi, Roberto; Bettin, Nicola; Gai, Paolo; Martorell Bofill, Xavier; Rizzo, Antonio (Springer, 2016-09-24)
    Capítol de llibre
    Accés restringit per política de l'editorial
    The AXIOM hardware/software platform aims at bringing easy programmability on top of a cluster of processors by using a fast interconnect and FPGA as a basis for building a scalable embedded system. The Smart Home is one ...
  • Exploring dynamic parallelism in OpenMP 

    Ozen, Guray; Ayguadé Parra, Eduard; Labarta Mancho, Jesús José (Association for Computing Machinery (ACM), 2015)
    Text en actes de congrés
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    GPU devices are becoming a common element in current HPC platforms due to their high performance-per-Watt ratio. However, developing applications able to exploit their dazzling performance is not a trivial task, which ...
  • Interconnection networks in petascale computer systems: A survey 

    Trobec, Roman; Vasiljevic, Radivoje; Tomasevic, Milo; Milutinovic, Veljko; Beivide Palacio, Ramon; Valero Cortés, Mateo (2016-11)
    Article
    Accés restringit per política de l'editorial
    This article provides background information about interconnection networks, an analysis of previous developments, and an overview of the state of the art. The main contribution of this article is to highlight the importance ...
  • How data volume affects spark based data analytics on a scale-up server 

    Awan, Ahsan; Brorsson, Mats; Vlassov, Vladimir; Ayguadé Parra, Eduard (Springer, 2015)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    Sheer increase in volume of data over the last decade has triggered research in cluster computing frameworks that enable web enterprises to extract big insights from big data. While Apache Spark is gaining popularity for ...
  • Micro-architectural characterization of Apache Spark on batch and stream processing workloads 

    Awan, Ahsan; Brorsson, Mats; Vlassov, Vladimir; Ayguadé Parra, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics for being a unified framework for both, ...
  • Node architecture implications for in-memory data analytics on scale-in clusters 

    Awan, Ashan Javed; Vlassov, Vladimir; Brorsson, Mats; Ayguadé Parra, Eduard (Association for Computing Machinery (ACM), 2016)
    Text en actes de congrés
    Accés restringit per política de l'editorial
    While cluster computing frameworks are continuously evolving to provide real-time data analysis capabilities, Apache Spark has managed to be at the forefront of big data analytics. Recent studies propose scale-in clusters ...

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