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Tien-Hsiung Weng and Barbara Chapman (2002)

Implementing OpenMP using Dataflow execution Model for Data Locality and Efficient Parallel Execution

In: Proceedings of the 7th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2002), pp. 107-114, IEEE Press.

Abstract

In this paper, we show the potential benefits of translating OpenMP code to low-level parallel code using a data flow execution model, instead of targeting it directly to a multi-threaded program. Our goal is to improve data locality as well as reduce synchronization overheads without introducing data distribution directives to OpenMP. We outline an API that enables us to realize this model using SMARTS (Shared Memory Asynchronous Run-Time System), describe the work of the compiler and discuss the benefits of translating OpenMP to parallel code using data flow execution model. We show experimental results based part of the Parallel Ocean Program (POP) code and Jacobi kernel code running on an SGI Origin 2000.

Note

This conference was held in conjunction the 16th International Parallel and Distributed Processing Symposium (IPDPS 2002). This paper also appeared in the conference proceedings for IPDPS 2002.

by admin — last modified 2007-12-10 21:05

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This material is based on work supported by the Department of Energy under Contract
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