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Guided Resource Organisation in Heterogeneous Parallel Computing

John Darlington, Yike Guo, Moustafa Ghanem, Hing Wing To

Journal Article
Journal of High Performance Computing
Volume 4
Issue 1
pp.13–23
May, 1997
ISSN 0218-6802
Abstract

In this paper we describe how performance models can be used as a

more structured approach to the problem of resource allocation when programming heterogeneous parallel systems. Functional skeletons are used in this paper to co-ordinate parallel computation in a heterogeneous system. An advantage of this approach is the ability to associate performance models with the implementations of a skeleton. We describe how these performance models can be used to predict the cost of of a particular resource allocation strategy over an entire program expressed using skeletons. Using a parallel conjugate gradient algorithm as a case study we investigate the approach on a mixed vector and scalar parallel machine when exploiting SPMD and simple MPMD parallelism in the algorithm.

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