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Data Interpretation and Experiment Planning in Performance Tools by Allen D. Malony is a scholarly article available to read on EtoBox.

What is Data Interpretation and Experiment Planning in Performance Tools about?

The parallel scien~c computing commtmity is placing increasing emphasis on portability and scalaliiity of programs, languages, and architectures. This creates new challenges for developers of parallel ~rformsnce analysis tools, who will have to deal with increasing volumes of performance data drawn from diverse platforms. One way to meet this challenge is to incorporate sophisticated facilities for data interpretation and experiment planning witbin the tools themselves, giving them increased flexibility and autonomy in gathering and selecting prfonnance data. This p~el discussion brings together four resemch groups that have ma& advances in this direction.

Author

Allen D. Malony

Publisher

ACM Press

Published

1995

Language

EN