About: Acceleration of Grammatical Evolution Using Graphics Processing Units

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Several papers show that symbolic regression is suitable for data analysis and prediction in financial markets. Grammatical Evolution (GE), a grammar-based form of Genetic Programming (GP), has been successfully applied in solving various tasks including symbolic regression. However, often the computational effort to calculate the fitness of a solution in GP can limit the area of possible application and/or the extent of experimentation undertaken. This paper deals with utilizing mainstream graphics processing units (GPU) for acceleration of GE solving symbolic regression. GPU optimization details are discussed and the NVCC compiler is analyzed. We design an effective mapping of the algorithm to the CUDA framework, and in so doing must tackle constraints of the GPU approach, such as the PCI-express bottleneck and main memory transactions. This is the first occasion GE has been adapted for running on a GPU. We measure our implementation running on one core of CPU Core i7 and GPU GTX Several papers show that symbolic regression is suitable for data analysis and prediction in financial markets. Grammatical Evolution (GE), a grammar-based form of Genetic Programming (GP), has been successfully applied in solving various tasks including symbolic regression. However, often the computational effort to calculate the fitness of a solution in GP can limit the area of possible application and/or the extent of experimentation undertaken. This paper deals with utilizing mainstream graphics processing units (GPU) for acceleration of GE solving symbolic regression. GPU optimization details are discussed and the NVCC compiler is analyzed. We design an effective mapping of the algorithm to the CUDA framework, and in so doing must tackle constraints of the GPU approach, such as the PCI-express bottleneck and main memory transactions. This is the first occasion GE has been adapted for running on a GPU. We measure our implementation running on one core of CPU Core i7 and GPU GTX (en)
Title	Acceleration of Grammatical Evolution Using Graphics Processing Units Acceleration of Grammatical Evolution Using Graphics Processing Units (en)
skos:prefLabel	Acceleration of Grammatical Evolution Using Graphics Processing Units Acceleration of Grammatical Evolution Using Graphics Processing Units (en)
skos:notation	RIV/00216305:26230/11:PU96181!RIV13-MSM-26230___
http://linked.open...avai/riv/aktivita	P S Z
http://linked.open...avai/riv/aktivity	P(GAP103/10/1517), S, Z(MSM0021630528)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Jaroš, Jiří Schwarz, Josef Pospíchal, Petr
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta informačních technologií
http://linked.open...dnocenehoVysledku	184380
http://linked.open...ai/riv/idVysledku	RIV/00216305:26230/11:PU96181
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CUDA, grammatical evolution, graphics chips, GPU, GPGPU, speedup, symbolic regression (en)
http://linked.open.../riv/klicoveSlovo	CUDA GPGPU GPU grammatical evolution graphics chips speedup symbolic regression
http://linked.open...ontrolniKodProRIV	[85C5194DD8B9]
http://linked.open...v/mistoKonaniAkce	Dublin
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	Proceedings of the 2011 GECCO conference companion on Genetic and evolutionary computation
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Natural Computing on Unconventional Platforms
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Jaroš, Jiří Pospíchal, Petr Schwarz, Josef
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-07-12 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Výzkum informačních technologií z hlediska bezpečnosti
number of pages	8 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Association for Computing Machinery
https://schema.org/isbn	978-1-4503-0690-4
http://localhost/t...ganizacniJednotka	26230

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