Better Compiler Optimization Options Generation via Genetic Algorithm and Simulated Annealing

Mitali Gupta, Saheel Nizam, Sibi Akash, Dr. Parkavi A.1

1

Publication Date: 2019/07/17

Abstract: 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.

DOI: No DOI Available

PDF: https://ijirst.demo4.arinfotech.co/https://ijisrt.com/wp-content/uploads/2019/05/IJISRT19MY11.pdf

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