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Keywords: distributed data, program interaction, performance analysis, parallel tool, computational steering
A variety of systems have been developed to interact with parallel programs for purposes of debugging, monitoring, visualization, and computational steering. In addition to addressing different functional objectives, these systems have nonfunctional characteristics that are equally important for a user to know. Clearly, for most users, performance is an important nonfunctional requirement of a program interaction system. However, characterizing the performance of an interaction system for parallel programs is particularly challenging, especially in asynchronous, distributed environments. This paper presents a comprehensive performance analysis of the DAQV system. DAQV has been successfully applied in runtime data visualization, on-line performance monitoring, and computational steering environments. However, DAQV's suitability depends significantly on application context and requirements. By giving a full accounting of DAQV performance, we aim to provide application and environment developers with valuable information about DAQV's potential benefits, before an integration effort takes place. As DAQV's designers, this in-depth performance analysis has led to new insights, resulting in higher performing designs.
Modified: Thu Dec 2 09:42:43 1999
Created: Mon May 18 20:19:11 1998
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