Ponències/Comunicacions de congressos

Enviaments recents

  • 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 ...

  • 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 ...

  • 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 ...

  • vMCA: Memory Capacity Aggregation and Management in Cloud Environments 

    Garrido, Luis A.; Carpenter, Paul (IEEE, 2018-05-31)
    Comunicació de congrés
    Accés obert
    In cloud environments, the VMs within the computing nodes generate varying memory demand profiles. When memory utilization reaches its limits due to this, costly (virtual) disk accesses and/or VM migrations can occur. Since ...

  • Modelling multicore contention on the AURIXTM TC27x 

    Díaz, Enrique; Mezzetti, Enrico; Kosmidis, Leonidas; Abella, Jaume; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2018-06-24)
    Comunicació de congrés
    Accés obert
    Multicores are becoming ubiquitous in automotive. Yet, the expected benefits on integration are challenged by multicore contention concerns on timing V&V. Worst-case execution time (WCET) estimates are required as early ...

  • Measurement-based cache representativeness on multipath programs 

    Milutinovic, Suzana; Abella, Jaume; Mezzetti, Enrico; Cazorla, Francisco J. (Association for Computing Machinery (ACM), 2018-06)
    Comunicació de congrés
    Accés obert
    Autonomous vehicles in embedded real-time systems increase critical-software size and complexity whose performance needs are covered with high-performance hardware features like caches, which however hampers obtaining WCET ...

  • Safe Parallelism: Compiler Analysis Techniques for Ada and OpenMP 

    Royuela, Sara; Martorell, Xavier; Quiñones, Eduardo; Pinho, Luis Miguel (Springer Verlag, 2018-05-26)
    Comunicació de congrés
    Accés obert
    There is a growing need to support parallel computation in Ada to cope with the performance requirements of the most advanced functionalities of safety-critical systems. In that regard, the use of parallel programming ...

  • Accelerating K-mer Frequency Counting with GPU and Non-Volatile Memory 

    Cadenelli, Nicola; Polo, Jordà; Carrera, David (IEEE, 2018-02-15)
    Comunicació de congrés
    Accés obert
    The emergence of Next Generation Sequencing (NGS) platforms has increased the throughput of genomic sequencing and in turn the amount of data that needs to be processed, requiring highly efficient computation for its ...

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