Better Compiler Optimization Options Generation via Genetic Algorithm and Simulated Annealing


Authors : Mitali Gupta, Saheel Nizam, Sibi Akash, Dr. Parkavi A.

Volume/Issue : Volume 4 - 2019, Issue 5 - May

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://bit.ly/2VLyc3u

Finding a good complier optimization is particularly a difficult task. Even though provided with various optimizations set levels it requires a good understanding of the various optimizations provided by the complier, proving difficult for most experts in this field. This paper provides case-based approach integrating genetic algorithm and simulated annealing to find better and efficient complier optimization option set (COOS). Implementing the purposed system will improve various standard benchmark parameters.

Keywords : Compiler optimization option set; Genetic Algorithm; Simulated Annealing.

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