MPI-IO/Gfarm: An Optimized Implementation of MPI-IO for the Gfarm File System

Cluster, Cloud and Grid Computing(2011)

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摘要
This paper proposes a design and implementation of an MPI-IO implementation of the Gfarm file system, called MPI-IO/Gfarm. The Gfarm file system is a global file system that federates the local storage of compute nodes among several clusters. It has a scale-out architecture designed to support distributed data-intensive computing. However Gfarm file system does not achieve scalable performance in the case of parallel writes to a single file, a typical file operation in MPI-IO. This paper proposes an optimization technique to improve the parallel write performance to a single file. In the evaluation, MPI-IO/Gfarm achieves scalable parallel I/O performance.
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关键词
o performance,local storage,data-intensive computing,single file,scalable performance,typical file operation,global file system,optimized implementation,gfarm file system,parallel writes,mpi-io implementation,optimization,computer architecture,benchmark testing,distributed databases,message passing,parallel processing
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