NDLI: On the efficiency of Multi-core Grammatical Evolution (MCGE) evolving multi-core parallel programs

Content Provider	IEEE Xplore Digital Library
Author	Chennupati, G. Fitzgerald, J. Ryan, C.
Copyright Year	2014
Description	Author affiliation: Bio-Comput. & Dev. Syst. Group, Univ. of Limerick, Limerick, Ireland (Chennupati, G.; Fitzgerald, J.; Ryan, C.)
Abstract	In this paper we investigate a novel technique that optimizes the execution time of Grammatical Evolution through the usage of on-chip multiple processors. This technique, Multicore Grammatical Evolution (MCGE) evolves natively parallel programs with the help of OpenMP primitives through the grammars, such that not only can we exploit parallelism while evolving individuals, but the final individuals produced can also be executed on parallel architectures even outside the evolutionary system. We test MCGE on two difficult benchmark GP problems and show its efficiency in exploiting the power of the multicore architectures. We further discuss that, on these problems, the system evolves longer individuals while they are evaluated quicker than their serial implementation.
Starting Page	238
Ending Page	243
File Size	625565
Page Count	6
File Format	PDF
e-ISBN	9781479959372
DOI	10.1109/NaBIC.2014.6921885
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-30
Publisher Place	Portugal
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers Algorithm design and analysis Multiplexing Multi-cores Grammatical Evolution OpenMP Artificial intelligence Parallel Programming Symbolic Regression
Content Type	Text
Resource Type	Article

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