Parallelism

Results: 604



#Item
31Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers Abhinav Sarje∗ , Douglas W. Jacobsen† , Samuel W. Williams∗ , Todd Ringler† , Leonid Oliker∗ ∗ Lawrence Berkeley National Laboratory

Exploiting Thread Parallelism for Ocean Modeling on Cray XC Supercomputers Abhinav Sarje∗ , Douglas W. Jacobsen† , Samuel W. Williams∗ , Todd Ringler† , Leonid Oliker∗ ∗ Lawrence Berkeley National Laboratory

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Source URL: cug.org

- Date: 2016-06-13 04:35:42
    32Autonomic Parallelism Adaptation on Software Transactional Memory ´ Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut

    Autonomic Parallelism Adaptation on Software Transactional Memory ´ Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut

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    Source URL: hal.inria.fr

    - Date: 2016-12-22 04:45:49
      33Coarse Grain Reconfigurable Architectures Reiner Hartenstein (embedded tutorial) CS Dept. (Informatik), University of Kaiserslautern http://www.fpl.uni-kl.de parallelism. and encourages nearest neig

      Coarse Grain Reconfigurable Architectures Reiner Hartenstein (embedded tutorial) CS Dept. (Informatik), University of Kaiserslautern http://www.fpl.uni-kl.de parallelism. and encourages nearest neig

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      Source URL: xputers.informatik.uni-kl.de

      - Date: 2013-08-25 02:31:50
        34Autonomic Parallelism and Thread Mapping Control on Software Transactional Memory Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut To cite this version:

        Autonomic Parallelism and Thread Mapping Control on Software Transactional Memory Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut To cite this version:

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        Source URL: hal.archives-ouvertes.fr

        - Date: 2016-12-19 14:47:17
          35Control of Autonomic Parallelism Adaptation on Software Transactional Memory Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut To cite this version:

          Control of Autonomic Parallelism Adaptation on Software Transactional Memory Naweiluo Zhou, Gwena¨el Delaval, Bogdan Robu, Eric Rutten, Jean-Fran¸cois M´ehaut To cite this version:

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          Source URL: hal.archives-ouvertes.fr

          - Date: 2016-12-19 20:32:46
            36A Sophomoric∗ Introduction to Shared-Memory Parallelism and Concurrency Dan Grossman Version of January 21, 2016 A version of this material has been published as two chapters in the book Parallel and Distributed Compu

            A Sophomoric∗ Introduction to Shared-Memory Parallelism and Concurrency Dan Grossman Version of January 21, 2016 A version of this material has been published as two chapters in the book Parallel and Distributed Compu

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            Source URL: homes.cs.washington.edu

            - Date: 2016-01-21 23:59:53
              37On-the-fly Detection of Data Races for Programs with Nested Fork-Join Parallelism∗ John Mellor-Crummey† Center for Research on Parallel Computation Rice University Houston, TX

              On-the-fly Detection of Data Races for Programs with Nested Fork-Join Parallelism∗ John Mellor-Crummey† Center for Research on Parallel Computation Rice University Houston, TX

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              Source URL: www.cs.rice.edu

              - Date: 2004-01-17 03:02:45
                38Overcoming the Data-flow Limit on Parallelism with Structural Approximation Vignesh Balaji Brandon Lucia

                Overcoming the Data-flow Limit on Parallelism with Structural Approximation Vignesh Balaji Brandon Lucia

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                Source URL: approximate.computer

                - Date: 2016-03-17 10:02:52
                  39Use Hierarchical Storage and Analysis to Exploit Intrinsic Parallelism Charlie Zender1 <> Pedro Vicente1, Wenshan Wang1 1

                  Use Hierarchical Storage and Analysis to Exploit Intrinsic Parallelism Charlie Zender1 <> Pedro Vicente1, Wenshan Wang1 1

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                  Source URL: dust.ess.uci.edu

                  - Date: 2013-12-17 20:04:38
                    40Exploit Implicit and Explicit Parallelism for Faster Geoscience Workflows Charlie Zender <> 1 Departments of Earth System Science and

                    Exploit Implicit and Explicit Parallelism for Faster Geoscience Workflows Charlie Zender <> 1 Departments of Earth System Science and

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                    Source URL: dust.ess.uci.edu

                    - Date: 2014-03-27 10:22:51