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Multi-objective adaptive evolutionary strategy for tuning compilations
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AI
DOI：10.1016/j.neucom.2013.07.036.png)
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Abstract
En 中文
Tuning compilations is the process of adjusting the values of a compiler options to improve some features of the final application. In this paper, a strategy based on the use of a genetic algorithm and a multi-objective scheme is proposed to deal with this task. Unlike previous works, we try to take advantage of the knowledge of this domain to provide a problem-specific genetic operation that improves both the speed of convergence and the quality of the results. The evaluation of the strategy is carried out by means of a case of study aimed to improve the performance of the well-known web server Apache. Experimental results show that a 7.5% of overall improvement can be achieved. Furthermore, the adaptive approach has shown an ability to markedly speed-up the convergence of the original strategy. (C) 2013 Elsevier B.V. All rights reserved.
Keywords:
Tuning compilations
Evolutionary search
Genetic algorithm
Adaptive strategy
Multi-objective optimization
NSGA-II
Journal
IF:
6.5
Papers:
2.5W
Citations:
6.5W