{"id":504914,"date":"2018-08-02T08:21:51","date_gmt":"2018-08-02T15:21:51","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&p=504914"},"modified":"2018-09-11T12:42:19","modified_gmt":"2018-09-11T19:42:19","slug":"ai-infrastructure-and-tools","status":"publish","type":"msr-video","link":"https:\/\/www.microsoft.com\/en-us\/research\/video\/ai-infrastructure-and-tools\/","title":{"rendered":"AI Infrastructure and Tools"},"content":{"rendered":"

Wolong: A Backend Optimizer for Deep Learning Computation and Open PAI<\/h4>\n

Chair:<\/strong> Jilong Xue<\/a><\/p>\n

This talk presents Wolong, a backend optimization system for accelerating deep learning computation on graphics processing units (GPUs). It automatically applies operator batching and kernel fusion to avoid system overhead such as scheduling and kernel launch by analyzing the dataflow graph. This optimization is transparent to the AI model developer and, by integrating with TensorFlow, it can accelerate deep learning computation rates by an order of magnitude.<\/p>\n

Open PAI: Open Source Initiative for AI Platform in China<\/h4>\n

Chair:<\/strong> Fan Yang<\/a><\/p>\n

Open Platform for AI (Open PAI) is an open source platform for graphics processing unit (GPU) cluster management and resource scheduling. The platform\u2019s design has been proven in Microsoft\u2019s large-scale production environment.<\/p>\n","protected":false},"excerpt":{"rendered":"

Wolong: A Backend Optimizer for Deep Learning Computation and Open PAI Chair: Jilong Xue This talk presents Wolong, a backend optimization system for accelerating deep learning computation on graphics processing units (GPUs). It automatically applies operator batching and kernel fusion to avoid system overhead such as scheduling and kernel launch by analyzing the dataflow graph. […]<\/p>\n","protected":false},"featured_media":505421,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"research-area":[13561],"msr-video-type":[238872],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-504914","msr-video","type-msr-video","status-publish","has-post-thumbnail","hentry","msr-research-area-algorithms","msr-video-type-faculty-summit","msr-locale-en_us"],"msr_download_urls":"","msr_external_url":"https:\/\/youtu.be\/2X02LSC0fI8","msr_secondary_video_url":"","msr_video_file":"","_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/504914"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-video"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/504914\/revisions"}],"predecessor-version":[{"id":504941,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video\/504914\/revisions\/504941"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/505421"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=504914"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=504914"},{"taxonomy":"msr-video-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-video-type?post=504914"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=504914"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=504914"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=504914"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}