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[shpcc94]

Steven T. Hackstadt, Allen D. Malony, and Bernd Mohr, Scalable Performance Visualization for Data-Parallel Programs, Proc. of the Scalable High Performance Computing Conference (SHPCC), Knoxville, TN, May 1994, pp. 342-349. Also available as University of Oregon, Department of Computer and Information Science, Technical Report CIS-TR-94-09, March 1994.

Keywords: scalable performance visualization, scientific visualization, pC++, data-parallel programming

Developing robust techniques for visualizing the performance behavior of parallel programs that can scale in problem size and/or number of processors remains a challenge. In this paper, we present several performance visualization techniques based on the context of data-parallel programming and execution that demonstrate good visual scalability properties. These techniques are a result of utilizing the structural and distribution semantics of data-parallel programs as well as sophisticated three-dimensional graphics. A categorization and examples of scalable performance visualizations are given for programs written in Dataparallel C and pC++.

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Modified: Fri Dec 13 09:42:43 1996
Created: Thu Dec 12 12:34:50 1996