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Processor affinity and MPI performance on SMP-CMP clusters

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3 Author(s)
Chi Zhang ; Department of Computer Science, Florida State University, Tallahassee, 32306, USA ; Xin Yuan ; Ashok Srinivasan

Clusters of Symmetric MultiProcessing (SMP) nodes with multi-core Chip-Multiprocessors (CMP), also known as SMP-CMP clusters, are becoming ubiquitous today. For Message Passing interface (MPI) programs, such clusters have a multi-layer hierarchical communication structure: the performance of intra-node communication is usually higher than that of inter-node communication; and the performance of intra-node communication is not uniform with communications between cores within a chip offering higher performance than communications between cores in different chips. As a result, the mapping from Message Passing Interface (MPI) processes to cores within each compute node, that is, processor affinity, may significantly affect the performance of intra-node communication, which in turn may impact the overall performance of MPI applications. In this work, we study the impacts of processor affinity on MPI performance in SMP-CMP clusters through extensive benchmarking and identify the conditions when processor affinity is (or is not) a major factor that affects performance.

Published in:

Parallel & Distributed Processing, Workshops and Phd Forum (IPDPSW), 2010 IEEE International Symposium on

Date of Conference:

19-23 April 2010