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Proceedings Paper

Case study: applying scientific visualization to parallel-performance visualization
Author(s): Steven T. Hackstadt; Allen D. Malony
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Paper Abstract

The complexity of parallel programs make them more difficult to analyze for correctness and efficiency, in part because of the interactions between multiple processors and the volume of data that can be generated. Visualization often helps the programmer in these tasks. This paper focuses on the development of a new technique for constructing, evaluating, and modifying sophisticated, application-specific visualizations for parallel programs and performance data. While most existing tools offer predetermined sets of simple, two-dimensional graphical displays, this environment gives users a high degree of control over visualization development and use, including access to three-dimensional graphics, which remain relatively unexplored in this context. We have developed an environment that uses the IBM Visualization Data Explorer system to allow new visualizations to be prototyped rapidly, often taking only a few hours to construct totally new views of parallel performance trace data. Yet, access to a robust library of sophisticated graphical techniques is preserved. The burdensome task of explicitly programming the visualizations is completely avoided, and the iterative design, evaluation, and modification of new displays is greatly facilitated.

Paper Details

Date Published: 7 April 1995
PDF: 10 pages
Proc. SPIE 2410, Visual Data Exploration and Analysis II, (7 April 1995); doi: 10.1117/12.205954
Show Author Affiliations
Steven T. Hackstadt, Univ. of Oregon (United States)
Allen D. Malony, Univ. of Oregon (United States)


Published in SPIE Proceedings Vol. 2410:
Visual Data Exploration and Analysis II
Richard N. Ellson; Georges G. Grinstein; Robert F. Erbacher, Editor(s)

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