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Toward symbolic performance prediction of parallel programs

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1 Author(s)
Fahringer, T. ; Inst. for Software Technol. & Parallel Syst., Wien Univ., Austria

Critical analyses in performance estimators for parallel programs require an algorithm that count the number of integer solutions to a set of inequalities. Most current performance estimators are restricted to linear inequalities for this analysis. In this paper we describe a symbolic algorithm which can estimate the number of integer solutions to a set of both linear and non-linear inequalities. The result is either an integer value or a symbolic expression depending on whether the inequalities contain non-loop variables. We have implemented this algorithm and use it as part of P3T, a performance estimator for data parallel programs. We demonstrate the usefulness of this algorithm by predicting the work load of all processors for a parallel program and compare it to measurements taken on an iPSC/860 hypercube system

Published in:

Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International

Date of Conference:

15-19 Apr 1996