Balancing performance and fault detection for GPGPU workloads

Jerry B. Backer; Ramesh Karri

doi:10.1109/ICCD.2012.6378702

Balancing performance and fault detection for GPGPU workloads

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2012 IEEE 30th International Conference on Computer Design, ICCD 2012
Pages	518-519
Number of pages	2
DOIs	https://doi.org/10.1109/ICCD.2012.6378702
State	Published - 2012
Event	2012 IEEE 30th International Conference on Computer Design, ICCD 2012 - Montreal, QC, Canada Duration: Sep 30 2012 → Oct 3 2012

Publication series

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

Other

Other	2012 IEEE 30th International Conference on Computer Design, ICCD 2012
Country/Territory	Canada
City	Montreal, QC
Period	9/30/12 → 10/3/12

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

Access to Document

10.1109/ICCD.2012.6378702

Cite this

Balancing performance and fault detection for GPGPU workloads. / Backer, Jerry B.; Karri, Ramesh.
2012 IEEE 30th International Conference on Computer Design, ICCD 2012. 2012. p. 518-519 6378702 (Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Backer, JB & Karri, R 2012, Balancing performance and fault detection for GPGPU workloads. in 2012 IEEE 30th International Conference on Computer Design, ICCD 2012., 6378702, Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors, pp. 518-519, 2012 IEEE 30th International Conference on Computer Design, ICCD 2012, Montreal, QC, Canada, 9/30/12. https://doi.org/10.1109/ICCD.2012.6378702

@inproceedings{265cbfa9410f4a0b857157a33d57c9a2,

title = "Balancing performance and fault detection for GPGPU workloads",

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.",

author = "Backer, {Jerry B.} and Ramesh Karri",

year = "2012",

doi = "10.1109/ICCD.2012.6378702",

language = "English (US)",

isbn = "9781467330503",

series = "Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors",

pages = "518--519",

booktitle = "2012 IEEE 30th International Conference on Computer Design, ICCD 2012",

note = "2012 IEEE 30th International Conference on Computer Design, ICCD 2012 ; Conference date: 30-09-2012 Through 03-10-2012",

}

TY - GEN

T1 - Balancing performance and fault detection for GPGPU workloads

AU - Backer, Jerry B.

AU - Karri, Ramesh

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84872070275&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84872070275&partnerID=8YFLogxK

U2 - 10.1109/ICCD.2012.6378702

DO - 10.1109/ICCD.2012.6378702

M3 - Conference contribution

AN - SCOPUS:84872070275

SN - 9781467330503

T3 - Proceedings - IEEE International Conference on Computer Design: VLSI in Computers and Processors

SP - 518

EP - 519

BT - 2012 IEEE 30th International Conference on Computer Design, ICCD 2012

T2 - 2012 IEEE 30th International Conference on Computer Design, ICCD 2012

Y2 - 30 September 2012 through 3 October 2012

ER -

Balancing performance and fault detection for GPGPU workloads

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this