Low cost platform for evolvable-based boolean synthesis

Vista sencilla de ítem
dc.contributor.authorPedraza Bonilla, Cesar
dc.date.accessioned2020-01-22T17:59:07Z
dc.date.available2020-01-22T17:59:07Z
dc.date.issued2011-04-15
dc.description.abstractEvolutionary algorithms are another option for combinational synthesis because they allow for the generation of hardware structures that cannot be obtained with other techniques. This paper shows a parallel genetic programming (PGP) boolean synthesis implementation based on a low cost cluster of an embedded platform called SIE, based on a 32-bit processor and a Spartan-3 FPGA. Some tasks of the PGP have been accelerated in hardware and results have been compared with an HPC implementation, resulting in speedup values up to approximately 180.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/LASCAS.2011.5750310spa
dc.identifier.urihttp://hdl.handle.net/11634/21040
dc.publisher.branchCRAI-USTA Bogotáspa
dc.relation.referencesD Goldberg and J Holland. Genetic algorithms and machine learning. Machine Learning, January 1998.spa
dc.relation.referencesF. Rothlauf. Representations for genetic and evolutionay algorithms. Springer, January 2006.spa
dc.relation.referencesJ Koza, F Bennett, D Andre, and M Keane. Genetic programming iii: darwinian invention and problem solving. Evolutionary Computation, January 1999.spa
dc.relation.referencesT Higuchi, T Niwa, T Tanaka, H Iba, and H de Garis. Evolving hardware with genetic learning: a rst step towards building a darwin machine. Proc. of the second Int. Conf. on from animals to animats, January 1992.spa
dc.relation.referencesJ Miller and P Thomson. Aspects of digital evolution: Evolvability and architecture. Lecture Notes in Computer Science, January 1998.spa
dc.relation.referencesQ. Yu, C. Chen, and C. Pan. Parallel genetic algoritms on programmable graphics hardware. Lecture notes in computer scienc, January 2006.spa
dc.relation.referencesR Krohling, Y Zhou, and A Tyrrell. Evolving fpga-based robot controllers using an evolutionary algorithm. Proc. I Int. Conf. on Articial Immune Syst, January 2002.spa
dc.relation.referencesJ Miller and P Thomson. Aspects of digital evolution: Evolvability and architecture. Lecture Notes in Computer Science, January 1998.spa
dc.relation.referencesC. Camargo, W. Spraul, and A. Wang. Proyecto SAKC. URL:http://en.qi-hardware.com/wiki/SAKC.spa
dc.relation.referencesCreative Commons. Licencias Creative Commons. URL: http://creativecommons.org/licenses., 2004.spa
dc.relation.referencesR. Stallman. Philosophy of the GNU project. URL: http://www.gnu.org/philosophy/, 2007.spa
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.subject.keywordEmbedded systemsspa
dc.subject.keywordEvolutionary algorithmsspa
dc.subject.keywordBoolean synthesisspa
dc.subject.keywordClusterspa
dc.titleLow cost platform for evolvable-based boolean synthesisspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Miniatura
Nombre:
Low cost platform for evolvable-based boolean synthesis.pdf
Tamaño:
199.86 KB
Formato:
Adobe Portable Document Format
Descripción:
Artículo SCOPUS
Descargar

Bloque de licencias

Mostrando 1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
807 B
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar

Colecciones

Producción de Alto Impacto