DMCA
Rapidly selecting good compiler optimizations using performance counters (2007)
Cached
Download Links
| Venue: | In Proceedings of the 5th Annual International Symposium on Code Generation and Optimization (CGO |
| Citations: | 66 - 24 self |
BibTeX
@INPROCEEDINGS{Cavazos07rapidlyselecting,
author = {John Cavazos and Grigori Fursin and Felix Agakov and Edwin Bonilla and Michael F. P and O’boyle Olivier Temam},
title = {Rapidly selecting good compiler optimizations using performance counters},
booktitle = {In Proceedings of the 5th Annual International Symposium on Code Generation and Optimization (CGO},
year = {2007},
pages = {185--197}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Applying the right compiler optimizations to a particular program can have a significant impact on program performance. Due to the non-linear interaction of compiler optimizations, however, determining the best setting is nontrivial. There have been several proposed techniques that search the space of compiler options to find good solutions; however such approaches can be expensive. This paper proposes a different approach using performance counters as a means of determining good compiler optimization settings. This is achieved by learning a model off-line which can then be used to determine good settings for any new program. We show that such an approach outperforms the state-ofthe-art and is two orders of magnitude faster on average. Furthermore, we show that our performance counter based approach outperforms techniques based on static code features. Finally, we show that such improvements are stable across varying input data sets. Using our technique we achieve a 10 % improvement over the highest optimization setting of the commercial PathScale EKOPath 2.3.1 optimizing compiler on the SPEC benchmark suite on a recent AMD Athlon 64 3700+ platform in just three evaluations. 1
Keyphrases
performance counter good compiler optimization recent amd athlon compiler option different approach good solution compiler optimization good setting right compiler optimization commercial pathscale ekopath approach outperforms technique significant impact input data set non-linear interaction static code feature program performance good compiler optimization setting particular program spec benchmark suite new program optimization setting
