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Proceedings of the 2003 ACM/IEEE conference on Supercomputing
ParADE: An OpenMP Programming Environment for SMP Cluster Systems
Phoenix, Arizona
November 15-November 21
ISBN: 1-58113-695-1
Yang-Suk Kee, Seoul National University, Korea
Jin-Soo Kim, KAIST, Korea
Soonhoi Ha, Seoul National University, Korea
Demand for programming environments to exploit clusters of symmetric multiprocessors (SMPs) is increasing. In this paper, we present a new programming environment, called ParADE, to enable easy, portable, and high-performance programming on SMP clusters. It is an OpenMP programming environment on top of a multi-threaded software distributed shared memory (SDSM) system with a variant of home-based lazy release consistency protocol. To boost performance, the runtime system provides explicit message-passing primitives to make it a hybrid-programming environment. Collective communication primitives are used for the synchronization and work-sharing directives associated with small data structures, lessening the synchronization overhead and avoiding the implicit barriers of work-sharing directives. The OpenMP translator bridges the gap between the OpenMP abstraction and the hybrid programming interfaces of the runtime system. The experiments with several NAS benchmarks and applications on a Linux-based cluster show promising results that ParADE overcomes the performance problem of the conventional SDSM-based OpenMP environment.
Index Terms:
programming environment, SMP cluster, software distributed shared memory, hybrid programming, OpenMP, MPI
Citation:
Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha, "ParADE: An OpenMP Programming Environment for SMP Cluster Systems," sc, pp.6, Proceedings of the 2003 ACM/IEEE conference on Supercomputing, 2003
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