Development of an Algorithm for Extracting Parallelism and Pipeline Structure from Stream-based Processing flow with Spanning Tree

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It is a fashion to use the manycore accelerators to promote the computing power in a computing plat- form. Especially GPU is one of the main series of the high performance computing, which is also employed by top supercomputers in the world. Programming methods on such accelerators includes development of control programs which accelerators executes to schedule the invocation of the accelerator's kernel program. The kernel program needs to be written based on the stream computing paradigm. Connecting I/Os of the kernel programs, we can develop a large application. When we consider the processing flow as a directed graph, we can implement a GUI-based programming tool for the accelerators. It visualizes a pipeline-based processing flow. However, it is very hard to find a starting point of a complex processing flow. Moreover, although the processing pipeline include the potential parallelism, it is hard for the programmer to exploit it intuitively. This paper proposes an algorithm applying the spanning tree that mechanically exploits the parallelism and determines an execution order. To verify the algorithm, this paper performs evaluation with realistic applications. The algorithm exploits effectively the parallelism and construct the optimal pipeline processing flow.

収録刊行物

  • International Journal of Networking and Computing

    International Journal of Networking and Computing 5(1), 159-179, 2015

    IJNC編集委員会

各種コード

  • NII論文ID(NAID)
    130005058798
  • 本文言語コード
    ENG
  • 雑誌種別
    大学紀要
  • ISSN
    2185-2839
  • NDL 記事登録ID
    026075983
  • NDL 請求記号
    Z78-A690
  • データ提供元
    NDL  J-STAGE 
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