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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++.
Modified: Fri Dec 13 9:42:43 US/Pacific 1996
Created: Thu Dec 12 12:34:50 US/Pacific 1996
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