Abstract

PARVIS is a visualization system for distributed, adaptive partitioning algorithms. It allows data--driven examination of the behavior of the adaptive algorithm, even for large and complex problems. For the algorithm developers it supports the analysis of load balancing techniques, subregion error patterns, rate of algorithm convergence for specific function classes, and parallel work anomaly. It allows end users to visualize the subdivision trees representing the adaptive task partitioning, thereby supplying graphical support for an intuitive understanding of the distributed computation. Keywords: Visualization; Interactive Visual Analysis; Distributed Task Pool; Adaptive Task Partitioning 1 Introduction Software implementing scientific algorithms is often complex and difficult to understand --- especially for end users from disciplines other than computer science. For the end user it is thus helpful to view the behavior of the algorithm for the problem at hand, to verify that the ...

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