{"id":131,"date":"2009-01-22T11:09:19","date_gmt":"2009-01-22T02:09:19","guid":{"rendered":"http:\/\/jungwonkim.com\/?p=131"},"modified":"2018-03-06T12:59:53","modified_gmt":"2018-03-06T17:59:53","slug":"shane-ryoo","status":"publish","type":"post","link":"https:\/\/blog.jungwon.kim\/?p=131","title":{"rendered":"Shane Ryoo"},"content":{"rendered":"<p><strong>Optimization principles and application performance evaluation of a multithreaded GPU using CUDA, PPoPP&#8217;08<\/strong><\/p>\n<p><a href=\"http:\/\/portal.acm.org\/citation.cfm?id=1345206.1345220\">http:\/\/portal.acm.org\/citation.cfm?id=1345206.1345220<\/a><\/p>\n<p>This is a very empirical paper. They introduced the characteristics of GeForce 8800 and optimization principles. Many threads enough to hide memory latency and memory bandwidth reduction using shared or\/and constant memory is them. They ported many benchmarks to CUDA, moreover open them in their web site (<a href=\"http:\/\/impact.crhc.illinois.edu\/parboil.php\">http:\/\/impact.crhc.illinois.edu\/parboil.php<\/a>) !! They showed how to calculate the limit performance in GFLOPS of a given GPU, and how to\u00c2\u00a0get\u00c2\u00a0GFLOPS of my programs. It&#8217;s very useful! Finally they warned readers that do not get stuck in local optimal but try many approach to achieve the limit performance.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Optimization principles and application performance evaluation of a multithreaded GPU using CUDA, PPoPP&#8217;08 http:\/\/portal.acm.org\/citation.cfm?id=1345206.1345220 This is a very empirical paper. They introduced the characteristics of GeForce 8800 and optimization principles. Many threads enough to hide memory latency and memory bandwidth<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[15,16,21],"class_list":["post-131","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-cuda","tag-gpgpu","tag-parallel"],"_links":{"self":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/131","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=131"}],"version-history":[{"count":1,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/131\/revisions"}],"predecessor-version":[{"id":1921,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=\/wp\/v2\/posts\/131\/revisions\/1921"}],"wp:attachment":[{"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=131"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=131"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.jungwon.kim\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=131"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}