Výsledky vyhledávání - "Shared-Memory Parallel Programming"

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  1. 1

    A comparison of the shared-memory parallel programming models OpenMP, OpenACC and Kokkos in the context of implicit solvers for high-order FEM Autor Eichstädt, Jan, Vymazal, Martin, Moxey, David, Peiró, Joaquim

    ISSN: 0010-4655, 1879-2944
    Vydáno: Elsevier B.V 01.10.2020
    Vydáno v Computer physics communications (01.10.2020)
    “…We consider the application of three performance-portable programming models in the context of a high-order spectral element, implicit time-stepping solver for…”
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    Journal Article
  2. 2

    MulticoreBSP for C: A High-Performance Library for Shared-Memory Parallel Programming Autor Yzelman, A. N., Bisseling, R. H., Roose, D., Meerbergen, K.

    ISSN: 0885-7458, 1573-7640
    Vydáno: Boston Springer US 01.08.2014
    “…The bulk synchronous parallel (BSP) model, as well as parallel programming interfaces based on BSP, classically target distributed-memory parallel…”
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    Journal Article
  3. 3

    Achieving performance under OpenMP on ccNUMA and software distributed shared memory systems Autor Chapman, B., Bregier, F., Patil, A., Prabhakar, A.

    ISSN: 1532-0626, 1532-0634
    Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.07.2002
    Vydáno v Concurrency and computation (01.07.2002)
    “…OpenMP is emerging as a viable high‐level programming model for shared memory parallel systems. It was conceived to enable easy, portable application…”
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    Journal Article
  4. 4

    All-uses testing of shared memory parallel programs Autor Yang, Cheer-Sun D., Pollock, Lori L.

    ISSN: 0960-0833, 1099-1689
    Vydáno: Chichester, UK John Wiley & Sons, Ltd 01.01.2003
    “…Parallelism has become a way of life for many scientific programmers. A significant challenge in bringing the power of parallel machines to these programmers…”
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    Journal Article
  5. 5

    Parallel Performance Evaluation and Optimization Autor Shafi, Hazim

    ISBN: 0470936908, 9780470936900
    Vydáno: Hoboken, NJ, USA John Wiley & Sons, Inc 24.01.2017
    “…This chapter covers the most important aspects of shared‐memory parallel programming that impact performance. It gives guidance for diagnosing such issues in…”
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