DocumentCode :
2011825
Title :
Fault mitigation strategies for CUDA GPUs
Author :
Di Carlo, S. ; Gambardella, Giulio ; Martella, Ippazio ; Prinetto, P. ; Rolfo, Daniele ; Trotta, Pascal
Author_Institution :
Dipt. di Autom. e Inf., Politec. di Torino, Turin, Italy
fYear :
2013
fDate :
6-13 Sept. 2013
Firstpage :
1
Lastpage :
8
Abstract :
High computation is a predominant requirement in many applications. In this field, Graphic Processing Units (GPUs) are more and more adopted. Low prices and high parallelism let GPUs be attractive, even in safety critical applications. Nonetheless, new methodologies must be studied and developed to increase the dependability of GPUs. This paper presents effective fault mitigation strategies for CUDA-based GPUs against permanent faults. The methodology to apply these strategies, on the software to be executed, is fully described and verified. The graceful performance degradation achieved by the proposed technique outperforms multithreaded CPU implementation, even in presence of multiple permanent faults.
Keywords :
fault diagnosis; graphics processing units; integrated circuit reliability; parallel architectures; CUDA GPUs; Graphic Processing Units; fault mitigation strategy; multiple permanent faults; multithreaded CPU; Computer architecture; Graphics processing units; Indexes; Instruction sets; Instruments; Kernel; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Test Conference (ITC), 2013 IEEE International
Conference_Location :
Anaheim, CA
ISSN :
1089-3539
Type :
conf
DOI :
10.1109/TEST.2013.6651908
Filename :
6651908
Link To Document :
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