• DocumentCode
    51685
  • Title

    Argus-G: Comprehensive, Low-Cost Error Detection for GPGPU Cores

  • Author

    Nathan, Ralph ; Sorin, Daniel J.

  • Author_Institution
    Duke Univ., Durham, NC, USA
  • Volume
    14
  • Issue
    1
  • fYear
    2015
  • fDate
    Jan.-June 2015
  • Firstpage
    13
  • Lastpage
    16
  • Abstract
    We have developed and evaluated Argus-G, an error detection scheme for general purpose GPU (GPGPU) cores. Argus-G is a natural extension of the Argus error detection scheme for CPU cores, and we demonstrate how to modify Argus such that it is compatible with GPGPU cores. Using an RTL prototype, we experimentally show that Argus-G can detect the vast majority of injected errors at relatively low performance, area, and power costs.
  • Keywords
    error detection; graphics processing units; Argus-G; CPU cores; GPGPU cores; general purpose GPU cores; low-cost error detection; Benchmark testing; Conferences; Graphics processing units; Hardware; Hardware design languages; Instruction sets; Registers; Graphics processors; fault tolerance;
  • fLanguage
    English
  • Journal_Title
    Computer Architecture Letters
  • Publisher
    ieee
  • ISSN
    1556-6056
  • Type

    jour

  • DOI
    10.1109/LCA.2014.2298391
  • Filename
    6704778