Towards a storage backend optimized for atomic MPI-I/O for parallel scientific applications

Viet-Trung Tran 1
1 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : We consider the challenges of building data management systems that are optimized for parallel I/O of scientific applications. One of those challenges focuses on the requirement of high I/O throughput for concurrent data accesses while obeying MPI atomicity semantics. In most existing implementations, the atomicity is often implemented through locking-based schemes, which have proven inefficient. In this proposal, we argue that a novel versioning-based scheme can avoid the need to perform expensive synchronization by using multiple snapshots of the same data, which is much more efficient. We describe our prototype of a versioning-based storage back-end and report on promising experimental results.
Type de document :
Communication dans un congrès
Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), May 2011, Anchorage, United States. 2011
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Contributeur : Viet-Trung Tran <>
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Dernière modification le : mercredi 16 mai 2018 - 11:23:28
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  • HAL Id : inria-00627667, version 1

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Viet-Trung Tran. Towards a storage backend optimized for atomic MPI-I/O for parallel scientific applications. Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), May 2011, Anchorage, United States. 2011. 〈inria-00627667〉

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