A Framework for Intelligent Performance Feedback

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.

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.