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Lookup NU author(s): Dr Yudong Sun
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Large-scale scientific and engineering computation problems are usually complex and consequently the development of parallel programs for solving these problems is a difficult task. In this paper, we describe the graph-oriented programming (GOP) model and environment for building and evaluating parallel applications. The GOP model provides higher level abstractions for message-passing parallel programming and the software environment offers tools which can ease programmers for parallelizing, writing, and deploying scientific and engineering computing applications. We discuss the motivations and various issues in developing the model and the software environment, present the design of the system architecture and the components, and describe the evaluation of the environment implemented on top of MPI with a sample parallel scientific application program. With the support of the high-level abstractions provided by the proposed GOP environment, programming of parallel applications on various parallel architectures can be greatly simplified.
Author(s): Chan F, Cao J, Sun Y
Publication type: Article
Publication status: Published
Journal: Parallel Computing
Year: 2003
Volume: 29
Issue: 11-12
Pages: 1589-1621
ISSN (print): 0167-8191
ISSN (electronic): 1872-7336
Publisher: Elsevier BV
URL: http://dx.doi.org/10.1016/j.parco.2003.05.008
DOI: 10.1016/j.parco.2003.05.008
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