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by Manish Parashar, Salim Hariri, Tomasz Haupt, Geoffrey C. Fox
In Proceedings of Supercomputing '94
http://www.ece.rutgers.edu/~parashar/Papers/sc94.ps
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Abstract:
In this paper we present a novel interpretive approach for accurate and cost-effective performance prediction in a high performance computing environment, and describe the design of a source-driven HPF/Fortran 90D performance prediction framework based on this approach. The performance prediction framework has been implemented as part of a HPF/Fortran 90D application development environment. A set of benchmarking kernels and application codes are used to validate the accuracy, utility, usability, and cost-effectiveness of the performance prediction framework. The use of the framework for selecting appropriate compiler directives and for application performance debugging is demonstrated. Keywords: Performance prediction, HPF/Fortran 90D application development, System & Application
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