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ParADE: An OpenMP Programming Environment for SMP Cluster Systems

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ParADE: An OpenMP Programming Environment for SMP Cluster Systems
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 hybridprogramming 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 the OpenMP abstraction and the hybrid programming interfaces of the runtime system. The experiments with several NAS benchmarks and applications on a Linux-ba...
Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where SC
Authors Yang-Suk Kee, Jin-Soo Kim, Soonhoi Ha
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