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Improving the execution time of global communication operations

9 years 7 months ago
Improving the execution time of global communication operations
Many parallel applications from scientific computing use MPI global communication operations to collect or distribute data. Since the execution times of these communication operations increase with the number of participating processors, scalability problems might occur. In this article, we show for different MPI implementations how the execution time of global communication operations can be significantly improved by a restructuring based on orthogonal processor structures. As platform, we consider a dual Xeon cluster, a Beowulf cluster and a Cray T3E with different MPI implementations. We show that the execution time of operations like MPI Bcast() or MPI Allgather() can be reduced by 40% and 70% on the dual Xeon cluster and the Beowulf cluster. But also on a Cray T3E a significant improvement can be obtained by a careful selection of the processor groups. We demonstrate that the optimized communication operations can be used to reduce the execution time of data parallel implemen...
Matthias Kühnemann, Thomas Rauber, Gudula R&u
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where CF
Authors Matthias Kühnemann, Thomas Rauber, Gudula Rünger
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