Karlis Kaugars, Rodger Zanny and Elise de Doncker
Department of Computer Science
Western Michigan University
Kalamazoo MI 49008
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