Evaluating Iterative Compilation-Reference-Cited by-同舟云学术

Evaluating Iterative Compilation

Published:2005 Issue: Volume: Page:362-376
ISSN:0302-9743
Container-title:Languages and Compilers for Parallel Computing
language:
Short-container-title:

Author:

Fursin G. G.,O’Boyle M. F. P.,Knijnenburg P. M. W.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11596110_24

Reference14 articles.

1. Bilmes, J., Asanović, K., Chin, C.W., Demmel, J.: Optimizing matrix multiply using PHiPAC: A portable, high-performance, C coding methodology. In: ICS 1997 (1997)

2. Bodin, F., Kisuki, T., Knijnenburg, P.M.W., O’Boyle, M.F.P., Rohou, E.: Iterative Compilation in a Non-Linear Optimisation Space. In: Profile and Feedback Directed Compilation, PACT (1998)

3. Burke, M., et al.: The Jalapeno Dynamic Optimizing Compiler for Java. In: Proc. of ACM 1999 Java Grande Conference (June 1999)

4. Chow, K., Wu, Y.: Feedback-Directed Selection and Characterization of Compiler Optimizations, FDO (1999)

5. Cohn, R., Lowney, P.G.: Feedback Directed Optimization in Compaq’s Compilation Tools for Alpha, FDO (1999)

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revealing Compiler Heuristics Through Automated Discovery and Optimization;2024 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2024-03-02

2. Winston: Revisiting iterative compilation for WCET minimization;Proceedings of the 30th International Conference on Real-Time Networks and Systems;2022-06-07

3. SRTuner: Effective Compiler Optimization Customization by Exposing Synergistic Relations;2022 IEEE/ACM International Symposium on Code Generation and Optimization (CGO);2022-04-02

4. A Survey on Compiler Autotuning using Machine Learning;ACM Computing Surveys;2019-09-30

5. A methodology correlating code optimizations with data memory accesses, execution time and energy consumption;The Journal of Supercomputing;2019-05-13