Abstract
Techniques used to optimize a finite-difference program on a Thinking Machines' CM5 parallel processing system are presented. These techniques are discussed within several categories: vector unit optimization, separation of communications and computations, and optimal data partitioning. A simplified model is employed to illustrate these concepts. The results of applying these techniques to a more complicated finite-difference calculation are also reported.
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