18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 10
A Case Study Using Empirical Optimization for a Large, Engineering Application
Santa Fe, New Mexico
April 26-April 30
ISBN: 0-7695-2132-0
This paper describes initial experiences with semi-automated performance tuning of a linear solver in LS-DYNA, a large, widely-used engineering application. Through a collection of tools supporting empirical optimization, we alleviate the burden of performance tuning for mapping today?s complex software to increasingly complex hardware platforms. We describe a tool that automatically isolates code segments for the purposes of performance tuning, code generation issues, and we present a collection of automatically-generated performance results for specific performance-oriented parameters.
Citation:
Pedro Diniz, Yoon-Ju Lee, Mary Hall, Robert Lucas, "A Case Study Using Empirical Optimization for a Large, Engineering Application," ipdps, vol. 11, pp.200b, 18th International Parallel and Distributed Processing Symposium (IPDPS'04) - Workshop 10, 2004