Balancing performance and fault detection for GPGPU workloads

Jerry B. Backer, Ramesh Karri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

GPUs are increasingly being used for processing highly parallel scientific and high performance workloads. Such applications require correctness and accuracy of the computation. GPUs lack adequate support for detecting hardware faults that may lead to computation errors. We present a tunable fault detection scheme that allows one to balance GPU performance and fault checking by configuring the amount of resources to allocate for detection and the frequency of checking for faults.

Original languageEnglish (US)
Title of host publication2012 IEEE 30th International Conference on Computer Design, ICCD 2012
Pages518-519
Number of pages2
DOIs
StatePublished - 2012
Event2012 IEEE 30th International Conference on Computer Design, ICCD 2012 - Montreal, QC, Canada
Duration: Sep 30 2012Oct 3 2012

Publication series

NameProceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors
ISSN (Print)1063-6404

Other

Other2012 IEEE 30th International Conference on Computer Design, ICCD 2012
CountryCanada
CityMontreal, QC
Period9/30/1210/3/12

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Backer, J. B., & Karri, R. (2012). Balancing performance and fault detection for GPGPU workloads. In 2012 IEEE 30th International Conference on Computer Design, ICCD 2012 (pp. 518-519). [6378702] (Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors). https://doi.org/10.1109/ICCD.2012.6378702