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High Performance Computing Using MPI and OpenMP on Multi-core Parallel Systems
| Citations: | 8 - 0 self |
BibTeX
@MISC{Jin_highperformance,
author = {Haoqiang Jin and Dennis Jespersen and Piyush Mehrotra and Rupak Biswas and Lei Huang and Barbara Chapman},
title = {High Performance Computing Using MPI and OpenMP on Multi-core Parallel Systems},
year = {}
}
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Abstract
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.
Keyphrases
high performance computing using mpi multi-core parallel system multi-zone na parallel benchmark hybrid approach traditional programming model ibm p575 multi-core architecture standard benchmark modern microprocessor several multi-core non-uniform memory access new data locality extension application developer current high performance computing exascale era hybrid nature sgi altix full application hierarchical memory structure sgi altix ice
