Ing. Radek Hrbáček

HRBÁČEK Radek and SEKANINA Lukáš. Towards Highly Optimized Cartesian Genetic Programming: From Sequential via SIMD and Thread to Massive Parallel Implementation. In: GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation. New York: Association for Computing Machinery, 2014, pp. 1015-1022. ISBN 978-1-4503-2662-9. Available from: http://dl.acm.org/citation.cfm?id=2576768.2598343
Publication language:english
Original title:Towards Highly Optimized Cartesian Genetic Programming: From Sequential via SIMD and Thread to Massive Parallel Implementation
Title (cs):K vysoce optimalizovanému Kartézskému genetickému programování: od sekvenční, přes SIMD a vláknově paralelní k masivně paralelní implementaci
Pages:1015-1022
Proceedings:GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation
Conference:Genetic and Evolutionary Computation Conference 2014
Place:New York, US
Year:2014
URL:http://dl.acm.org/citation.cfm?id=2576768.2598343
ISBN:978-1-4503-2662-9
Publisher:Association for Computing Machinery
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Keywords
Cartesian Genetic Programming, Parallel Computing, SIMD,
AVX, Cluster, Combinational Circuit Design
Annotation
Most implementations of Cartesian genetic programming (CGP) which can be found in the literature are sequential. However, solving complex design problems by means of genetic programming requires parallel implementations of search methods and fitness functions. This paper deals with the design of highly optimized implementations of CGP and their detailed evaluation in the task of evolutionary circuit design. Several sequential implementations of CGP have been analyzed and the effect of various additional optimizations has been investigated. Furthermore, the parallelism at the instruction, data, thread and process level has been applied in order to take advantage of modern processor architectures and computer clusters. Combinational adders and multipliers have been chosen to give a performance comparison with state of the art methods.
BibTeX:
@INPROCEEDINGS{
   author = {Radek Hrb{\'{a}}{\v{c}}ek and Luk{\'{a}}{\v{s}} Sekanina},
   title = {Towards Highly Optimized Cartesian Genetic Programming: From
	Sequential via SIMD and Thread to Massive Parallel
	Implementation},
   pages = {1015--1022},
   booktitle = {GECCO '14 Proceedings of the 2014 conference on Genetic and
	evolutionary computation},
   year = {2014},
   location = {New York, US},
   publisher = {Association for Computing Machinery},
   ISBN = {978-1-4503-2662-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=10512}
}

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