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19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15
Performance Analysis of MPI Collective Operations
Denver, Colorado
April 04-April 08
ISBN: 0-7695-2312-9
Jelena Pjesivac-Grbovic, University of Tennessee Computer Science Department, Knoxville
Thara Angskun, University of Tennessee Computer Science Department, Knoxville
George Bosilca, University of Tennessee Computer Science Department, Knoxville
Graham E. Fagg, University of Tennessee Computer Science Department, Knoxville
Edgar Gabriel, University of Tennessee Computer Science Department, Knoxville
Jack J. Dongarra, University of Tennessee Computer Science Department, Knoxville
Previous studies of application usage show that the performance of collective communications are critical for high-performance computing and are often overlooked when compared to the point-to-point performance. In this paper, we analyze and attempt to improve intra-cluster collective communication in the context of the widely deployed MPI programming paradigm by extending accepted models of point-to-point communication, such as Hockney, LogP/LogGP, and PLogP. The predictions from the models were compared to the experimentally gathered data and our findings were used to optimize the implementation of collective operations in the FT-MPI library.
Citation:
Jelena Pjesivac-Grbovic, Thara Angskun, George Bosilca, Graham E. Fagg, Edgar Gabriel, Jack J. Dongarra, "Performance Analysis of MPI Collective Operations," ipdps, vol. 16, pp.272a, 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15, 2005
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