GS-DMR: Low-overhead soft error detection scheme for stencil-based computation-Reference-Cited by-同舟云学术

GS-DMR: Low-overhead soft error detection scheme for stencil-based computation

Published:2015-01 Issue: Volume:41 Page:50-65
ISSN:0167-8191
Container-title:Parallel Computing
language:en
Short-container-title:Parallel Computing

Author:

Xiaoguang Ren,Xinhai Xu,Qian Wang,Juan Chen,Miao Wang,Xuejun Yang

Funder

National Natural Science Foundation of China

Guangzhou Science and Information Technology Bureau

State Key Laboratory of High Performance Computing

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference40 articles.

1. .

2. Efficient software checking for fault tolerance;Yu,2008

3. Soft error vulnerability of iterative linear algebra methods;Bronevetsky,2008

4. K. Asanovic, R. Bodik, B.C. Catanzaro, J.J. Gebis, P. Husbands, K. Keutzer, D.A. Patterson, W.L. Plishker, J. Shalf, S.W. Williams, et al., The landscape of parallel computing research: a view from berkeley, Tech. rep., Technical Report UCB/EECS-2006-183, EECS Department, University of California, Berkeley, 2006.

5. Optimized stencil computation using in-place calculation on modern multicore systems;Augustin,2009

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