The Impact of File Systems on MPI-IO Scalability

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As the number of nodes in cluster systems continues to grow, leveraging scalable algorithms in all aspects of such systems becomes key to maintaining performance. While scalable algorithms have been applied successfully in some areas of parallel I/O, many operations are still performed in an uncoordinated manner. In this work we consider, in three file system scenarios, the possibilities for applying scalable algorithms to the many operations that make up the MPI-IO interface. From this evaluation we extract a set of file system characteristics that aid in developing scalable MPI-IO implementations.

This work was supported by the Mathematical, Information, and Computational Sciences Division subprogram of the Office of Advanced Scientific Computing Research, Office of Science, U.S. Department of Energy, under Contract W-31-109-Eng-38.