Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization (2005)
by
Arkady Epshteyn
,
Maria Garzaran
,
Gerald Dejong
,
David Padua
,
Gang Ren
,
Xiaoming Li
,
Kamen Yotov
,
Keshav Pingali
| Venue: | In Proceedings of the International Workshop on Languages and Compilers for Parallel Computing (LCPC |
| Citations: | 6 - 0 self |
BibTeX
@INPROCEEDINGS{Epshteyn05analyticmodels,
author = {Arkady Epshteyn and Maria Garzaran and Gerald Dejong and David Padua and Gang Ren and Xiaoming Li and Kamen Yotov and Keshav Pingali},
title = {Analytic Models and Empirical Search: A Hybrid Approach to Code Optimization},
booktitle = {In Proceedings of the International Workshop on Languages and Compilers for Parallel Computing (LCPC},
year = {2005}
}
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Abstract
Compilers employ system models, sometimes implicitly, to make code optimization decisions. These models are analytic; they reflect their implementor 's understanding and beliefs of the system. While their decisions can be made almost instantaneously, unless the model is perfect their decisions may be flawed.
