An Optimized Tuning of Genetic Algorithm Parameters in Compiler Flag Selection Based on Compilation and Execution Duration-Reference-Cited by-同舟云学术

An Optimized Tuning of Genetic Algorithm Parameters in Compiler Flag Selection Based on Compilation and Execution Duration

Published:2012 Issue: Volume: Page:599-610
ISSN:1867-5662
Container-title:Advances in Intelligent and Soft Computing
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Author:

Sandran Thayalan,Zakaria Nordin,Pal Anindya Jyoti

Publisher

Springer India

Link

http://link.springer.com/content/pdf/10.1007/978-81-322-0491-6_55

Reference6 articles.

1. Cooper, K.D., Schielke, P.J., Subramanian, D.: Optimizing for Reduced Code Space Using Genetic Algorithms. In: Proceedings of the ACM SIGPLAN 1999 Workshop on Languages, Compilers, and Tools for Embedded Systems, pp. 1–9 (1999)

2. Kukunas, J., Cupper, R.D., Kapfhammer, G.M.: A Genetic Algorithm to Improve Linux Kernel Performance on Resource-Constrained Devices. In: GECCO 2010 Proceedings of the 12th Annual Conference Companion on Genetic and Evolutionary Computation. ACM (2010)

3. Seymour, K., You, H., Dongarra, J.: A Comparison of Search heuristics for Emperical Code Optimization. In: Proceedings of the 2008 IEEE International Conference on Cluster Computing, Tsukuba, Japan, September 29-October 1, pp. 421–429 (2008)

4. Ladd, S.R.: Acovea: Analysis of Compiler Options via Evolutionary Algorithm, Describing the Evolutionary Algorithm, http://stderr.org/doc/acovea/html/acoveaga.htm

5. Zhong, S., Shen, Y., Hao, F.: Tuning Compiler Optimization Options via Simulated Annealing. In: 2nd International Conference on Future Information Technology and Management Engineering, pp. 305–308 (2009)

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