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
Link To Document