relation: https://khub.utp.edu.my/scholars/3000/
title: An optimized tuning of genetic algorithm parameters in compiler flag selection based on compilation and execution duration
creator: Sandran, T.
creator: Zakaria, N.
creator: Pal, A.J.
description: Compiler flags exist to provide option for the software developer to dictate certain parameter to the compiler. Such parameters provide hints to the compiler on how to handle certain portion of the source code. In the realm of optimization, compiler flags provide the fastest way to speed up a program. The right combination of flags will provide significant enhancement in speed without compromising the integrity of the output. However, the main challenge is choosing that particular right set of flags. Many a times, developers work around this issue by dictating the optimization level. In that way, the compiler imposes a package of flags. This process may lead to degradation of performance in terms of execution speed and also significant increase in program size. In this work, we are studying the usage of Genetic Algorithm as a way to select the optimization flags that could produce codes which compile and execute fast. © 2012 Springer India Pvt. Ltd.
date: 2012
type: Article
type: PeerReviewed
identifier:   Sandran, T. and Zakaria, N. and Pal, A.J.  (2012) An optimized tuning of genetic algorithm parameters in compiler flag selection based on compilation and execution duration.  Advances in Intelligent and Soft Computing, 131 AI (VOL. 2).  pp. 599-610.  ISSN 18675662     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861212702&doi=10.1007%2f978-81-322-0491-6_55&partnerID=40&md5=2099d6945d3ee2846ac702e477cea05f
relation: 10.1007/978-81-322-0491-6₅₅
identifier: 10.1007/978-81-322-0491-6₅₅