Performance evaluation

Topic 2


Parallel computing enables solutions to computational problems that are impossible on sequential systems due to their limited performance. To meet this objective, it is critical that users can both measure performance on a given system and predict the performance for other systems. Authors are invited to submit papers presenting all fields of performance modeling, evaluation, prediction, measurement, benchmarking, and visualization for parallel and distributed applications and architectures. This workshop covers all aspects of techniques, implementations, tools, standardization efforts, and characterization and performance-oriented development of distributed and parallel applications. Of particular interest are tools and systems that work with large-scale applications or large numbers (hundreds to thousands) of processors. In addition, approaches to understand memory system performance and storage system performance are encouraged.

Global Chair:
Prof. Dr. Wolfgang E. Nagel
Technical University Dresden
Center for High Performance Computing (ZHR)
D-01062 Dresden

Vice Chair:
Prof. Dr. Thomas Ludwig
Institute of Computer Science
Ruprecht-Karls-Universitat Heidelberg

Vice Chair:
Jeffrey Vetter, Ph.D.
Computer Science and Mathematics Division
Oak Ridge National Laboratory
One Bethel Valley Road
PO Box 2008, MS-6008
Oak Ridge, TN 37831-6008

Local Chair:
Prof. Dr. Lorenzo Donatiello
Department of Computer Science
University of Bologna
Via di Mura Anteo Zamboni, 7
40127 Bologna, Italy

Last modified: Fri Nov 28 19:28:19 CET 2003
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