{"id":5631,"date":"2011-09-20T12:01:49","date_gmt":"2011-09-20T09:01:49","guid":{"rendered":"http:\/\/hgpu.org\/?p=5631"},"modified":"2011-09-20T12:01:49","modified_gmt":"2011-09-20T09:01:49","slug":"hermes-an-integrated-cpugpu-microarchitecture-for-ip-routing","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5631","title":{"rendered":"Hermes: an integrated CPU\/GPU microarchitecture for IP routing"},"content":{"rendered":"<p>With the constantly increasing Internet traffic and fast changing network protocols, future routers have to simultaneously satisfy the requirements for throughput, QoS, flexibility, and scalability. In this work, we propose a novel integrated CPU\/GPU microarchitecture, Hermes, for QoS-aware high speed routing. We also develop a new thread scheduling mechanism, which significantly improves all QoS metrics.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>With the constantly increasing Internet traffic and fast changing network protocols, future routers have to simultaneously satisfy the requirements for throughput, QoS, flexibility, and scalability. In this work, we propose a novel integrated CPU\/GPU microarchitecture, Hermes, for QoS-aware high speed routing. We also develop a new thread scheduling mechanism, which significantly improves all QoS metrics.<\/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":[11,89,3],"tags":[1782,14,452,20,67,476],"class_list":["post-5631","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-heterogeneous-systems","tag-nvidia","tag-performance","tag-software-router"],"views":2804,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5631","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=5631"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5631\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5631"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5631"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5631"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}