{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T13:13:55Z","timestamp":1753881235685,"version":"3.41.2"},"reference-count":26,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2010,2,28]],"date-time":"2010-02-28T00:00:00Z","timestamp":1267315200000},"content-version":"vor","delay-in-days":423,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Reconfigurable Computing"],"published-print":{"date-parts":[[2009,1]]},"abstract":"<jats:p>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 <jats:italic>Dictyostelium discoideum<\/jats:italic> cellular slime mold. The environment transmits information according to a reaction\u2010diffusion mechanism and the agents move by following excitation fronts. Despite its simplicity this model exhibits interesting properties of self\u2010organization and robustness to obstacles. We first describe the FPGA implementation of the environment alone, to perform large scale\nand rapid simulations of the complex dynamics of this reaction\u2010diffusion 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.<\/jats:p>","DOI":"10.1155\/2009\/639249","type":"journal-article","created":{"date-parts":[[2010,2,28]],"date-time":"2010-02-28T15:29:03Z","timestamp":1267370943000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Reaction Diffusion and Chemotaxis for  Decentralized Gathering on FPGAs"],"prefix":"10.1155","volume":"2009","author":[{"given":"Bernard","family":"Girau","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"C\u00e9sar","family":"Torres-Huitzil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaos","family":"Vlassopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos\u00e9 Hugo","family":"Barr\u00f3n-Zambrano","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2010,2,28]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tcs.2005.01.001"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780195131581.001.0001"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/332833.332842"},{"key":"e_1_2_10_4_2","doi-asserted-by":"crossref","first-page":"272","DOI":"10.1166\/jctn.2006.3009","article-title":"Adaptive programming of unconventional nano-architectures","volume":"3","author":"Lawson J.","year":"2006","journal-title":"Journal of Computational and Theoretical Nanoscience"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1006\/jtbi.1997.0490"},{"key":"e_1_2_10_6_2","unstructured":"Fat\u00e8sN. 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