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Parallel and Distributed Processing Symposium, International (2011)
Anchorage, Alaska USA
May 16, 2011 to May 20, 2011
ISSN: 1530-2075
ISBN: 978-0-7695-4385-7
pp: 989-1000
ABSTRACT
As reported by many recent studies, the mean time between failures of future post-petascale supercomputers is likely to reduce, compared to the current situation. The most popular fault tolerance approach for MPI applications on HPC Platforms relies on coordinated check pointing which raises two major issues: a) global restart wastes energy since all processes are forced to rollback even in the case of a single failure, b) checkpoint coordination may slow down the application execution because of congestions on I/O resources. Alternative approaches based on uncoordinated check pointing and message logging require logging all messages, imposing a high memory/storage occupation and a significant overhead on communications. It has recently been observed that many MPI HPC applications are \emph{send-deterministic}, allowing to design new fault tolerance protocols. In this paper, we propose an uncoordinated check pointing protocol for send-deterministic MPI HPC applications that (i) logs only a subset of the application messages and (ii) does not require to restart systematically all processes when a failure occurs. We first describe our protocol and prove its correctness. Through experimental evaluations, we show that its implementation in MPICH2 has a negligible overhead on application performance. Then we perform a quantitative evaluation of the properties of our protocol using the NAS Benchmarks. Using a clustering approach, we demonstrate that this protocol actually succeeds to combine the two expected properties: a) it logs only a small fraction of the messages and b) it reduces by a factor approaching 2 the average number of processes to rollback compared to coordinated check pointing.
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CITATION

E. Brunet, T. Ropars, M. Snir, A. Guermouche and F. Cappello, "Uncoordinated Checkpointing Without Domino Effect for Send-Deterministic MPI Applications," 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2011)(IPDPS), Anchorage, AK, 2011, pp. 989-1000.
doi:10.1109/IPDPS.2011.95
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