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A Skeletal-Based Approach for the Development of Fault-Tolerant SPMD Applications

Constantinos Makassikis 1, 2 Virginie Galtier 2 Stéphane Vialle 1, 2
1 ALGORILLE - Algorithms for the Grid
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : Distributing applications over PC clusters to speed-up or size-up the execution is now commonplace. Yet efficiently tolerating faults of these systems is a major issue. To ease the addition of checkpoint-based fault tolerance at the application level, we introduce a Model for Low-Overhead Tolerance of Faults (MoLOToF) which is based on structuring applications using fault-tolerant skeletons. MoLOToF also encourages collaborations with the programmer and the execution environment. The skeletons are adapted to specific parallelization paradigms and yield what can be called fault-tolerant algorithmic skeletons. The application of MoLOToF to the SPMD parallelization paradigm results in our proposed FT-SPMD framework. Experiments show that the complexity for developing an application is small and the use of the framework has a small impact on performance. Comparisons with existing system-level checkpoint solutions, namely LAM/MPI and DMTCP, point out that FT-SPMD has a lower runtime overhead while being more robust when a higher level of fault tolerance is required.
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https://hal.inria.fr/inria-00548953
Contributor : Constantinos Makassikis <>
Submitted on : Tuesday, December 21, 2010 - 8:19:13 AM
Last modification on : Tuesday, April 21, 2020 - 10:58:28 AM

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Constantinos Makassikis, Virginie Galtier, Stéphane Vialle. A Skeletal-Based Approach for the Development of Fault-Tolerant SPMD Applications. The 11th International Conference on Parallel and Distributed Computing, Applications and Technologies - PDCAT 2010, Dec 2010, Wuhan, China. ⟨10.1109/PDCAT.2010.89⟩. ⟨inria-00548953⟩

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