• DocumentCode
    3455158
  • Title

    GMRES Method on Lightweight GRID System

  • Author

    He, Haiwu ; Bergere, Guy ; Petiton, Serge

  • Author_Institution
    Lab. d´´Informatique Fondamentale de Lille, INRIA
  • fYear
    2005
  • fDate
    4-6 July 2005
  • Firstpage
    74
  • Lastpage
    82
  • Abstract
    Grid computing accomplishes high throughput computing by using a very large number of unexploited computing resources. We present a parallel method GMRES to solve large sparse linear systems by the use of a lightweight grid XtremWeb. This global computing platform, just as many popular grid systems, is devoted to multi-parameters generic-applications. We have implemented an important algorithm GMRES which is one of the key methods to resolve large, non-symmetric, linear problems. We discuss the performances of this algorithm deployed on two XtremWeb networks: a local network with 128 non-dedicated PCs in Polytech-Lille of University of Lille I in France, a remote network with 3 clusters of SCGN grid that includes 91 CPUs totally in the High Performance Center for Computer Science of University of Tsukuba in Japan. We compare these performances with those of a MPI implementation of GMRES on the same platform. We present the advantages and shortcomings of our implementation on this lightweight grid XtremWeb
  • Keywords
    grid computing; message passing; parallel algorithms; MPI; global computing; grid computing; large sparse linear systems; lightweight grid XtremWeb; lightweight grid system; parallel method; Application software; Clustering algorithms; Distributed computing; Grid computing; Internet; Linear systems; Peer to peer computing; Personal communication networks; Personal digital assistants; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, 2005. ISPDC 2005. The 4th International Symposium on
  • Conference_Location
    Lille
  • Print_ISBN
    0-7695-2434-6
  • Type

    conf

  • DOI
    10.1109/ISPDC.2005.30
  • Filename
    1609956