Publication
PPoPP 1991
Conference paper

A static performance estimator to guide data partitioning decisions

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Abstract

The choice of the data domain partitioning scheme is an important factor in determining the available parallelism and hence the performance of an application on a distributed memory multiprocessor. In this paper, we present a performance estimator for statically evaluating the relative efficiency of different data partitioning schemes for any given program on any given distributed memory multiprocessor. Our methlod is not based on a theoretical machine model, but ixnstead uses a set of kernel routinea to "train" the estimator for each target machine. We also describe a prototype implementation of this technique and discuss an experimental evaluation of its accuracy.

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Publication

PPoPP 1991

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