期刊
PARALLEL COMPUTING
卷 37, 期 9, 页码 562-575出版社
ELSEVIER
DOI: 10.1016/j.parco.2011.02.002
关键词
Hybrid MPI plus OpenMP programming; Multi-core Systems; OpenMP Extensions; Data Locality
资金
- National Science Foundation [CCF-0702775]
- University of Houston
- Direct For Computer & Info Scie & Enginr
- Division Of Computer and Network Systems [0958464] Funding Source: National Science Foundation
The rapidly increasing number of cores in modern microprocessors is pushing the current high performance computing (HPC) systems into the petascale and exascale era. The hybrid nature of these systems - distributed memory across nodes and shared memory with non-uniform memory access within each node - poses a challenge to application developers. In this paper, we study a hybrid approach to programming such systems - a combination of two traditional programming models, MPI and OpenMP. We present the performance of standard benchmarks from the multi-zone NAS Parallel Benchmarks and two full applications using this approach on several multi-core based systems including an SGI Altix 4700, an IBM p575+ and an SGI Altix ICE 8200EX. We also present new data locality extensions to OpenMP to better match the hierarchical memory structure of multi-core architectures. Published by Elsevier B.V.
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