• DocumentCode
    2614795
  • Title

    Enhancing the performance of conjugate gradient solvers on graphic processing units

  • Author

    Dehnavi, Maryam Mehri ; Fernandez, David ; Giannacopoulos, Dennis

  • Author_Institution
    Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
  • fYear
    2010
  • fDate
    9-12 May 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    A study of the fundamental obstacles to accelerate the preconditioned conjugate gradient method on modern graphic processing units (GPUs) is presented and several techniques are proposed to enhance its performance over previous work. The performance increase observed when implementing one of our proposed enhancements over traditional approaches is reported.
  • Keywords
    conjugate gradient methods; coprocessors; performance evaluation; conjugate gradient solvers; graphic processing units; preconditioned conjugate gradient method; Acceleration; Character generation; Computational modeling; Computer graphics; Delay; Gradient methods; Iterative algorithms; Kernel; Partitioning algorithms; Pervasive computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-7059-4
  • Type

    conf

  • DOI
    10.1109/CEFC.2010.5481803
  • Filename
    5481803