• DocumentCode
    3757198
  • Title

    Performance Evaluation of Sparse Matrix-Vector Multiplication Using GPU/MIC Cluster

  • Author

    Hiroshi Maeda;Daisuke Takahashi

  • Author_Institution
    Grad. Sch. of Syst. &
  • fYear
    2015
  • Firstpage
    396
  • Lastpage
    399
  • Abstract
    Sparse matrix-vector multiplication (SpMV) is an important computational kernel for many applications such as scientific computing. To the best of our knowledge, while previous studies have reported CPU and GPU implementations of SpMV for a cluster and MIC implementations for a single node, implementations of SpMV for the MIC cluster have not yet been reported. In this paper, we implement and evaluate parallel SpMV on a GPU cluster and a MIC cluster.
  • Keywords
    "Sparse matrices","Graphics processing units","Microwave integrated circuits","Computational modeling","Libraries","Numerical models","Computer architecture"
  • Publisher
    ieee
  • Conference_Titel
    Computing and Networking (CANDAR), 2015 Third International Symposium on
  • Electronic_ISBN
    2379-1896
  • Type

    conf

  • DOI
    10.1109/CANDAR.2015.73
  • Filename
    7424745
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3757198