{"id":4743,"date":"2011-07-12T21:31:45","date_gmt":"2011-07-12T18:31:45","guid":{"rendered":"http:\/\/hgpu.org\/?p=4743"},"modified":"2011-07-12T21:31:45","modified_gmt":"2011-07-12T18:31:45","slug":"cloudlet-screen-computing-a-multi-core-based-cloud-computing-oriented-traditional-computing-compatible-parallel-computing-paradigm-for-the-masses","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=4743","title":{"rendered":"Cloudlet-screen computing: A multi-core-based, cloud-computing-oriented, traditional-computing-compatible parallel computing Paradigm for the masses"},"content":{"rendered":"<p>This paper proposes a computing paradigm where many users share a host platform consisting of one or more multicore CPU(s) and GPU(s). Each user is connected to the host by a link transferring primarily compressed compound video of screen, mouse and keyboard data. All computation and processing tasks including but not limited to 2D\/3D graphics and multimedia processing are done on the host using a traditional or existing architecture. Since all computing and storage resources are centralized on the &quot;cloudlet&quot; (host) and each user site has only a high-resolution monitor, a mouse, and a keyboard with some optional I\/O devices, it is a highly energy-efficient, secure, reliable, and low total-ownership-cost paradigm. The compound video link between the host and the user is partial-lossless (partially lossless and partially near-lossless), and has ultra-low latency, so the proposed paradigm still has no-compromised 2D\/3D graphics and multimedia performance demanded by the mass market.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This paper proposes a computing paradigm where many users share a host platform consisting of one or more multicore CPU(s) and GPU(s). Each user is connected to the host by a link transferring primarily compressed compound video of screen, mouse and keyboard data. All computation and processing tasks including but not limited to 2D\/3D graphics [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"open","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":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[11,3],"tags":[750,832,1782],"class_list":["post-4743","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-cloud","tag-compression","tag-computer-science"],"views":1888,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4743","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=4743"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/4743\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4743"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4743"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4743"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}