{"id":12612,"date":"2014-08-07T00:19:42","date_gmt":"2014-08-06T21:19:42","guid":{"rendered":"http:\/\/hgpu.org\/?p=12612"},"modified":"2014-08-07T00:19:42","modified_gmt":"2014-08-06T21:19:42","slug":"multi-agent-systems-and-general-purpose-computing-on-graphics-processing-units-a-survey","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=12612","title":{"rendered":"Multi-Agent Systems and General-Purpose Computing on Graphics Processing Units: A Survey"},"content":{"rendered":"<p>In some application domains, using a Multi-Agent Systems (MAS) modeling approach may require to handle a large number of agents (crowds, traffic, animal societies, ecosystems, etc.). Today, as this number is constantly growing, the computational resources which are needed cannot be fulfilled by the CPU of single Personal Computers (PC) any more. Considering this issue, General-Purpose Computing on Graphics Units (GPGPU) appears to be very promising as it allows huge speed up on regular PC and for a cheap cost. This paper reviews the literature reporting on contributions which are at the intersection between MAS and GPGPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In some application domains, using a Multi-Agent Systems (MAS) modeling approach may require to handle a large number of agents (crowds, traffic, animal societies, ecosystems, etc.). Today, as this number is constantly growing, the computational resources which are needed cannot be fulfilled by the CPU of single Personal Computers (PC) any more. Considering this issue, [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,89,3],"tags":[1782,14,20,31],"class_list":["post-12612","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-nvidia","tag-review"],"views":1816,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12612","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=12612"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/12612\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=12612"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=12612"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=12612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}