Enviaments recents

  • Filling the gap between education and industry: evidence-based methods for introducing undergraduate students to HPC 

    Mantovani, Filippo; Banchelli, Fabio (2018)
    Comunicació de congrés
    Accés obert
    Educational institutions provide in most cases basic theoretical background covering several computational science topics, however High Performance Computing (HPC) and Parallel and Distributed Computing (PDC) markets require ...
  • Exploring the Vision Processing Unit as Co-Processor for Inference 

    Rivas-Gomez, Sergio; Peña, Antonio J.; Moloney, David; Laure, Erwin; Markidis, Stefano (IEEE, 2018-08-06)
    Comunicació de congrés
    Accés obert
    The success of the exascale supercomputer is largely debated to remain dependent on novel breakthroughs in technology that effectively reduce the power consumption and thermal dissipation requirements. In this work, we ...
  • Performance Characterization of Spark Workloads on Shared NUMA Systems 

    Baig, Shuja-ur-Rehman; Amaral, Marcelo; Polo, Jordà; Carrera, David (IEEE, 2018-07-09)
    Comunicació de congrés
    Accés obert
    As the adoption of Big Data technologies becomes the norm in an increasing number of scenarios, there is also a growing need to optimize them for modern processors. Spark has gained momentum over the last few years among ...
  • Dynamic Adaptable Asynchronous Progress Model for MPI RMA Multiphase Applications 

    Si, Min; Peña, Antonio J.; Hammond, Jeff; Balaji, Pavan; Takagi, Masamichi; Ishikawa, Yutaka (IEEE, 2018-09-01)
    Article
    Accés obert
    Casper is a process-based asynchronous progress model for MPI one-sided communication on multi- and many-core architectures. The one-sided communication is not truly one-sided in most MPI implementations: the target process ...
  • LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing 

    Cristal, Adrian; Unsal, Osman S.; Martorell, Xavier; Carpenter, Paul; de la Cruz, Raul; Bautista, Leonardo; Jimenez, Daniel; Alvarez, Carlos; Salami, Behzad; Madonar, Sergi; Pericàs, Miquel; Trancoso, Pedro; von dem Berge, Micha; Billung-Meyer, Gunnar; Krupop, Stefan; Christmann, Wolfgang; Klawonn, Frank; Mihklafi, Amani; Becker, Tobias; Gaydadjiev, Georgi; Salomonsson, Hans; Dubhashi, Devdatt; Port, Oron; Etsion, Yoav; Nowack, Vesna; Fetzer, Christof; Hagemeyer, Jens; Jungeblut, Thorsten; Kucza, Nils; Kaiser, Martin; Porrmann, Mario; Pasin, Marcelo; Schiavoni, Valerio; Rocha, Isabelly; Göttel, Christian; Felber, Pascal (Association for Computing Machinery (ACM), 2018-05-08)
    Comunicació de congrés
    Accés obert
    LEGaTO is a three-year EU H2020 project which started in December 2017. The LEGaTO project will leverage task-based programming models to provide a software ecosystem for Made-in-Europe heterogeneous hardware composed of ...
  • RPR: a random replacement policy with limited pathological replacements 

    Benedicte, Pedro; Hernandez, Carles; Abella, Jaume; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2018-04-13)
    Comunicació de congrés
    Accés obert
    Measurement-Based Probabilistic Timing Analysis (MBPTA) has consolidated as a technique to estimate probabilistic Worst-Case Execution Times (WCET) for critical software running on processors with high-performance hardware ...
  • Computational Fluid and Particle Dynamics Simulations for Respiratory System: Runtime Optimization on an Arm Cluster 

    Garcia-Gasulla, Marta; Josep-Fabrego, Marc; Eguzkitza, Beatriz; Mantovani, Filippo (Association for Computing Machinery (ACM), 2018-08-13)
    Comunicació de congrés
    Accés obert
    Computational fluid and particle dynamics simulations (CFPD) are of paramount importance for studying and improving drug effectiveness. Computational requirements of CFPD codes involves high-performance computing (HPC) ...
  • DROM: Enabling Efficient and Effortless Malleability for Resource Managers 

    D'Amico, Marco; Garcia-Gasulla, Marta; López, Victor; Jokanovic, Ana; Sirvent, Raül; Corbalan, Julita (Association for Computing Machinery (ACM), 2018-08-13)
    Comunicació de congrés
    Accés obert
    In the design of future HPC systems, research in resource management is showing an increasing interest in a more dynamic control of the available resources. It has been proven that enabling the jobs to change the number ...
  • An approach to task-based parallel programming for undergraduate students 

    Ayguadé Parra, Eduard; Jiménez González, Daniel (2018-03-07)
    Article
    Accés obert
    This paper presents the description of a compulsory parallel programming course in the bachelor degree in Informatics Engineering at the Barcelona School of Informatics, Universitat Politècnica de Catalunya UPC-BarcelonaTech. ...
  • Impact on Network Performance of Probe Vehicle Data Usage: An Experimental Design for Simulation Assessment 

    Montero, Lídia; Linares, Maria Paz; Casanovas, Josep; Codina, Esteve; Recio, Gonzalo; Lorente, Ester; Salmerón, Juan (Hindawi Publishing Corporation, 2018-06-25)
    Article
    Accés obert
    Probe-based technologies are proliferating as a means of inferring traffic states. Technological companies are interested in traffic data for computing the best routes in a traffic-aware manner and they also provide real-time ...
  • A resilient and distributed near real-time traffic forecasting application for Fog computing environments 

    Pérez, Juan L.; Gutierrez-Torre, Alberto; Berral, Josep Ll.; Carrera, David (Elsevier, 2018-10)
    Article
    Accés obert
    In this paper we propose an architecture for a city-wide traffic modeling and prediction service based on the Fog Computing paradigm. The work assumes an scenario in which a number of distributed antennas receive data ...
  • TaskGenX: A Hardware-Software Proposal for Accelerating Task Parallelism 

    Chronaki, Kallia; Casas, Marc; Moreto, Miquel; Bosch, Jaume; Badia, Rosa M. (Springer, 2018-05-29)
    Comunicació de congrés
    Accés obert
    As chip multi-processors (CMPs) are becoming more and more complex, software solutions such as parallel programming models are attracting a lot of attention. Task-based parallel programming models offer an appealing approach ...

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