Search Results - Models of Computation—Parallelism and concurrency

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  1. 1

    Enabling simulation of high‐dimensional micro‐macro biophysical models through hybrid CPU and multi‐GPU parallelism by Cook, Steven, Shinar, Tamar

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken Wiley Subscription Services, Inc 10.09.2021
    Published in Concurrency and computation (10.09.2021)
    “…Micro‐macro models provide a powerful tool to study the relationship between microscale mechanisms and emergent macroscopic behavior…”
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    Journal Article
  2. 2

    The SIPSim implicit parallelism model and the SkelGIS library by Coullon, Hélène, Limet, Sébastien

    ISSN: 1532-0626, 1532-0634
    Published: Blackwell Publishing Ltd 01.05.2016
    Published in Concurrency and computation (01.05.2016)
    “…Summary Scientific simulations give rise to complex codes where data size and computation time become very important issues, and sometimes a scientific…”
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    Journal Article
  3. 3

    Preliminary study on the automatic parallelism optimization model for image enhancement algorithms based on Intel's® Xeon Phi by Huang, Fang, Yang, Hao, Tao, Jian, Wang, Jian, Tan, Xicheng

    ISSN: 1532-0626, 1532-0634
    Published: Hoboken, USA John Wiley & Sons, Inc 25.08.2021
    Published in Concurrency and computation (25.08.2021)
    “…‐enhancement algorithms on several high‐performance computing platforms utilizing various programming models…”
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    Journal Article
  4. 4

    Thriving in a crowded and changing world: C++ 2006–2020 by Stroustrup, Bjarne

    ISSN: 2475-1421, 2475-1421
    Published: 14.06.2020
    “… From 2006 to 2020, the C++ developer community grew from about 3 million to about 4.5 million. It was a period where new programming models emerged, hardware…”
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    Journal Article
  5. 5

    基于矩阵计算的并行谱聚类方法 by 张鲁飞, 郝子宇, 陈左宁

    ISSN: 1673-9418
    Published: 数学工程与先进计算国家重点实验室,江苏 无锡,214125 2015
    Published in 计算机科学与探索 (2015)
    “…TP301; 针对大规模社交网络的聚类研究由来已久,谱聚类方法的可扩展性也一直是研究难点。近年来,基于代数图论发展出来的谱聚类方法,利用了特征值对应的谱结构,降低了计…”
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    Journal Article
  6. 6

    Beehive: A Framework for Graph Data Analytics on Cloud Computing Platforms by Tripathi, Anand, Padhye, Vinit, Sunkara, Tara Sasank

    ISSN: 0190-3918
    Published: IEEE 01.09.2014
    “… Its computation model is based on optimistic concurrency control in executing concurrent tasks as atomic transactions for harnessing amorphous parallelism in graph analysis problems…”
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    Conference Proceeding
  7. 7

    Types for Parallel Complexity in the Pi-calculus by Baillot, Patrick, Ghyselen, Alexis

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 03.10.2019
    Published in arXiv.org (03.10.2019)
    “… We present how to adapt this result for parallel complexity in the pi-calculus, as a model of concurrency and parallel communication…”
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    Paper