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Impact of Event Logger on Causal Message Logging Protocols for Fault Tolerant {MPI}

Lemarinier Pierre 1, 2 Bouteiller Aurelien 1, 2 Herault Thomas 1, 2 Krawezik Geraud 1, 2 Cappello Franck 1, 2
2 GRAND-LARGE - Global parallel and distributed computing
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LIFL - Laboratoire d'Informatique Fondamentale de Lille, LRI - Laboratoire de Recherche en Informatique
Abstract : Fault tolerance in MPI becomes a main issue in the HPC community. Several approaches are envisioned from user or programmer controlled fault tolerance to fully automatic fault detection and handling. For this last approach, several protocols have been proposed in the literature. In a recent paper, we have demonstrated that uncoordinated checkpointing tolerates higher fault frequency than coordinated checkpointing. Moreover causal message logging protocols have been proved the most efficient message logging technique. These protocols consist in piggybacking non deterministic events to computation message. Several protocols have been proposed in the literature. Their merits are usually evaluated from four metrics: a) piggybacking computation cost, b) piggyback size, c) applications performance and d) fault recovery performance. In this paper, we investigate the benefit of using a stable storage for logging message events in causal message logging protocols. To evaluate the advantage of this technique we implemented three protocols: 1) a classical causal message protocol proposed in Manetho, 2) a state of the art protocol known as LogOn, 3) a light computation cost protocol called Vcausal. We demonstrate a major impact of this stable storage for the three protocols, on the four criteria for micro benchmarks as well as for the NAS benchmark.
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Contributor : Thomas Hérault <>
Submitted on : Wednesday, June 22, 2005 - 2:16:17 PM
Last modification on : Wednesday, October 14, 2020 - 3:56:58 AM
Long-term archiving on: : Thursday, April 1, 2010 - 9:44:47 PM


  • HAL Id : inria-00000123, version 1



Lemarinier Pierre, Bouteiller Aurelien, Herault Thomas, Krawezik Geraud, Cappello Franck. Impact of Event Logger on Causal Message Logging Protocols for Fault Tolerant {MPI}. 19th International Parallel and Distributed Processing Symposium, Apr 2005, Denver, USA, United States. ⟨inria-00000123⟩



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