Optimizing the fault-tolerance overheads of HPC systems using prediction and multiple proactive actions-Reference-Cited by-同舟云学术

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Optimizing the fault-tolerance overheads of HPC systems using prediction and multiple proactive actions

Published:2015-06-04 Issue:10 Volume:71 Page:3668-3694
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Zhu Lei,Gu Jianhua,Wang Yunlan,Zhao Tianhai,Cai Zhennao

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s11227-015-1458-0.pdf

Reference35 articles.

1. Robert F (2012) What it’ll take to go exascale. Science 27:394–396

2. Sato K, Moody A, Mohror K, Gamblin T et al (2012) Design and modeling of a non-blocking checkpointing system. In: The 2012 international conference for high performance computing, networking, storage and analysis (SC’ 12), article no. 19

3. Cappello F (2009) fault tolerance in petascale/exascale systems: current knowledge, challenges and research opportunities. Int J High Perform Comput Appl 23:212–226

4. Li Y, Lan Z, Gujrati P, Sun X (2009) Fault-aware runtime strategies for high-performance computing. IEEE Trans Parallel Distrib Syst 20(4):460–473

5. Varela MR, Ferreira KB, Riesen R (2010) Fault-tolerance for exascale systems. In: 2010 IEEE international conference on cluster computing workshops and posters (cluster workshops), pp 1–4

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