A Framework for Intelligent Performance Feedback
PPL Technical Report 1994
Publication Type: Paper
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Abstract
The significant gap between peak and realized performance of
parallel machines motivates the need for performance analysis.
Contemporary tools provide only generic measurement, rather than
program-specific information and analysis. An object-oriented and
message-driven language, such as Charm, presents opportunities for
both program-specific feedback and automatic performance analysis
We present a framework in which specific and intelligent feedback
can be given to the user about their parallel program. The
framework will use information about the parallel program generated
at compile-time and at run-time to analyze its performance using
general expertise and specific algorithms in performance analysis.
TextRef
Amitabh B. Sinha, Laxmikant V. Kale, "A Framework for Intelligent Performance
Feedback", Parallel Programming Laboratory, Department of Computer Science,
University of Illinois at Urbana-Champaign, 1994.
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