Reaction-Diffusion and Chemotaxis for decentralized gathering on FPGAs
Identifieur interne : 003F56 ( Hal/Corpus ); précédent : 003F55; suivant : 003F57Reaction-Diffusion and Chemotaxis for decentralized gathering on FPGAs
Auteurs : Bernard Girau ; César Torres-Huitzil ; Nikolaos Vlassopoulos ; Hugo Barron-ZambranoSource :
Abstract
We consider here the feasibility of gathering multiple computational resources by means of decentralized and simple local rules. We study such decentralized gathering by means of a stochastic model inspired from biology: the aggregation of the Dictyostelium discoideum cellular slime mold. The environment transmits information according to a reaction-diffusion mechanism and the agents move by following excitation fronts. Despite its simplicity this model exhibits interesting properties of self-organization and robustness to obstacles. We first describe the FPGA implementation of the environment alone, to perform large-scale and rapid simulations of the complex dynamics of this reaction-diffusion model. Then we describe the FPGA implementation of the environment together with the agents, to study the major challenges that must be solved when designing a fast embedded implementation of the decentralized gathering model. We analyze the results according to the different goals of these hardware implementations.
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DOI: 10.1155/2009/639249
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Hal:inria-00434451Le document en format XML
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Victoria-Soto La Marina - C.P. 87130 Cd. Victoria, Tamps</addrLine><country key="MX"></country></address><ref type="url">http://www.tamps.cinvestav.mx/cinvestav_tamaulipas</ref></desc><listRelation><relation active="#struct-301749" type="direct"></relation></listRelation><tutelles><tutelle active="#struct-301749" type="direct"><org type="institution" xml:id="struct-301749" status="INCOMING"><orgName>Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional (Cinvestav)</orgName><desc><address><country key="MX"></country></address></desc></org></tutelle></tutelles></hal:affiliation></affiliation></author></analytic><idno type="DOI">10.1155/2009/639249</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We consider here the feasibility of gathering multiple computational resources by means of decentralized and simple local rules. We study such decentralized gathering by means of a stochastic model inspired from biology: the aggregation of the Dictyostelium discoideum cellular slime mold. The environment transmits information according to a reaction-diffusion mechanism and the agents move by following excitation fronts. Despite its simplicity this model exhibits interesting properties of self-organization and robustness to obstacles. We first describe the FPGA implementation of the environment alone, to perform large-scale and rapid simulations of the complex dynamics of this reaction-diffusion model. Then we describe the FPGA implementation of the environment together with the agents, to study the major challenges that must be solved when designing a fast embedded implementation of the decentralized gathering model. We analyze the results according to the different goals of these hardware implementations.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Reaction-Diffusion and Chemotaxis for decentralized gathering on FPGAs</title><author role="aut"><persName><forename type="first">Bernard</forename><surname>Girau</surname></persName><email>girau@loria.fr</email><idno type="halauthor">448757</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">César</forename><surname>Torres-Huitzil</surname></persName><email></email><idno type="halauthor">56305</idno><affiliation ref="#struct-104510"></affiliation></author><author role="aut"><persName><forename type="first">Nikolaos</forename><surname>Vlassopoulos</surname></persName><email></email><idno type="halauthor">448761</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Hugo</forename><surname>Barron-Zambrano</surname></persName><email>jhbarronz@inaoep.mx</email><idno type="halauthor">361394</idno><affiliation ref="#struct-104510"></affiliation></author><editor role="depositor"><persName><forename>Bernard</forename><surname>Girau</surname></persName><email>girau@loria.fr</email></editor></titleStmt><editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2009-11-23 12:31:07</date><date type="whenModified">2016-05-18 08:57:29</date><date type="whenReleased">2009-11-23 12:31:07</date><date type="whenProduced">2009</date></edition><respStmt><resp>contributor</resp><name key="103176"><persName><forename>Bernard</forename><surname>Girau</surname></persName><email>girau@loria.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">inria-00434451</idno><idno type="halUri">https://hal.inria.fr/inria-00434451</idno><idno type="halBibtex">girau:inria-00434451</idno><idno type="halRefHtml">International Journal on Reconfigurable Computing, Hindawi Publishing Corp., 2009, Selected Papers from ReConFig 2008, 2009 (January), pp.Article 12. <10.1155/2009/639249></idno><idno type="halRef">International Journal on Reconfigurable Computing, Hindawi Publishing Corp., 2009, Selected Papers from ReConFig 2008, 2009 (January), pp.Article 12. <10.1155/2009/639249></idno></publicationStmt><seriesStmt><idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno><idno type="stamp" n="INRIA">INRIA - Institut National de Recherche en Informatique et en Automatique</idno><idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno><idno type="stamp" n="LORIA2">Publications du LORIA</idno><idno type="stamp" n="INRIA-NANCY-GRAND-EST">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LORIA-CSAI" p="LORIA">Systèmes complexes et intelligence artificielle</idno><idno type="stamp" n="LORIA">LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications</idno><idno type="stamp" n="INRIA2">INRIA 2</idno><idno type="stamp" n="INRIA-LORRAINE">INRIA Nancy - Grand Est</idno><idno type="stamp" n="LABO-LORIA-SET" p="LORIA">LABO-LORIA-SET</idno><idno type="stamp" n="UNIV-LORRAINE">Université de Lorraine</idno></seriesStmt><notesStmt><note type="audience" n="2">International</note><note type="popular" n="0">No</note><note type="peer" n="1">Yes</note></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Reaction-Diffusion and Chemotaxis for decentralized gathering on FPGAs</title><author role="aut"><persName><forename type="first">Bernard</forename><surname>Girau</surname></persName><email>girau@loria.fr</email><idno type="halAuthorId">448757</idno><affiliation ref="#struct-2348"></affiliation></author><author role="aut"><persName><forename type="first">César</forename><surname>Torres-Huitzil</surname></persName><idno type="halAuthorId">56305</idno><affiliation ref="#struct-104510"></affiliation></author><author role="aut"><persName><forename type="first">Nikolaos</forename><surname>Vlassopoulos</surname></persName><idno type="halAuthorId">448761</idno><affiliation ref="#struct-2355"></affiliation></author><author role="aut"><persName><forename type="first">Hugo</forename><surname>Barron-Zambrano</surname></persName><email>jhbarronz@inaoep.mx</email><idno type="halAuthorId">361394</idno><affiliation ref="#struct-104510"></affiliation></author></analytic><monogr><idno type="halJournalId" status="INCOMING">58145</idno><title level="j">International Journal on Reconfigurable Computing</title><imprint><publisher>Hindawi Publishing Corp.</publisher><biblScope unit="serie">Selected Papers from ReConFig 2008</biblScope><biblScope unit="volume">2009</biblScope><biblScope unit="issue">January</biblScope><biblScope unit="pp">Article 12</biblScope><date type="datePub">2009</date></imprint></monogr><idno type="doi">10.1155/2009/639249</idno></biblStruct></sourceDesc><profileDesc><langUsage><language ident="en">English</language></langUsage><textClass><classCode scheme="halDomain" n="info.info-ne">Computer Science [cs]/Neural and Evolutionary Computing [cs.NE]</classCode><classCode scheme="halTypology" n="ART">Journal articles</classCode></textClass><abstract xml:lang="en">We consider here the feasibility of gathering multiple computational resources by means of decentralized and simple local rules. We study such decentralized gathering by means of a stochastic model inspired from biology: the aggregation of the Dictyostelium discoideum cellular slime mold. The environment transmits information according to a reaction-diffusion mechanism and the agents move by following excitation fronts. Despite its simplicity this model exhibits interesting properties of self-organization and robustness to obstacles. We first describe the FPGA implementation of the environment alone, to perform large-scale and rapid simulations of the complex dynamics of this reaction-diffusion model. Then we describe the FPGA implementation of the environment together with the agents, to study the major challenges that must be solved when designing a fast embedded implementation of the decentralized gathering model. We analyze the results according to the different goals of these hardware implementations.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
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