eprintid: 3000
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/30/00
datestamp: 2023-11-09 15:51:15
lastmod: 2023-11-09 15:51:15
status_changed: 2023-11-09 15:44:46
type: article
metadata_visibility: show
creators_name: Sandran, T.
creators_name: Zakaria, N.
creators_name: Pal, A.J.
title: An optimized tuning of genetic algorithm parameters in compiler flag selection based on compilation and execution duration
ispublished: pub
keywords: Algorithm parameters; compiler flag; Execution speed; generation; Optimization levels; population; Program size; Selection based; Software developer; Source codes, Degradation; Genetic algorithms; Optimization; Problem solving; Soft computing, Program compilers
note: cited By 6; Conference of International Conference on Soft Computing for Problem Solving, SocProS 2011 ; Conference Date: 20 December 2011 Through 22 December 2011; Conference Code:89817
abstract: 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
official_url: 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
id_number: 10.1007/978-81-322-0491-6₅₅
full_text_status: none
publication: Advances in Intelligent and Soft Computing
volume: 131 AI
number: VOL. 2
place_of_pub: Roorkee
pagerange: 599-610
refereed: TRUE
isbn: 9788132204909
issn: 18675662
citation:   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