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Parallel and Distributed Processing Symposium, International (2003)
Nice, France
Apr. 22, 2003 to Apr. 26, 2003
ISSN: 1530-2075
ISBN: 0-7695-1926-1
pp: 206a
Nastaran Baradaran , University of Southern California
Jacqueline Chame , University of Southern California
Chun Chen , University of Southern California
Pedro Diniz , University of Southern California
Mary Hall , University of Southern California
Yoon-Ju Lee , University of Southern California
Bing Liu , University of Southern California
Robert Lucas , University of Southern California
ABSTRACT
In this paper, we describe a compilation system that automates much of the process of performance tuning that is currently done manually by application programmers interested in high performance. Due to the growing complexity of accurate performance prediction, our system incorporates empirical techniques to execute variants of code segments with representative data on the target architecture. In this paper, we discuss how empirical techniques and performance modeling can be effectively combined. We also discuss the role of historical information from prior runs, and programmer specifications supporting run-time adaptation. These techniques can be employed to alleviate some of the performance problems that lead to inefficiencies in key applications today: register pressure, cache conflict misses, and the trade-off between synchronization, parallelism and locality in SMPs.
INDEX TERMS
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CITATION

B. Liu et al., "ECO: An Empirical-Based Compilation and Optimization System," Parallel and Distributed Processing Symposium, International(IPDPS), Nice, France, 2003, pp. 206a.
doi:10.1109/IPDPS.2003.1213377
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