{"id":11298,"date":"2014-01-26T23:46:37","date_gmt":"2014-01-26T21:46:37","guid":{"rendered":"http:\/\/hgpu.org\/?p=11298"},"modified":"2014-01-26T23:46:37","modified_gmt":"2014-01-26T21:46:37","slug":"a-dynamic-offload-scheduler-for-spatial-multitasking-on-intel-xeon-phi-coprocessor","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=11298","title":{"rendered":"A Dynamic Offload Scheduler for spatial multitasking on Intel Xeon Phi Coprocessor"},"content":{"rendered":"<p>Intel Xeon Phi Coprocessor appears and it fully supports multitasking, but it does not automatically ensure high performance in this case. A conventional task level resource allocation scheduler could be used, but a processor utilization of the Xeon Phi is low because of idle time on the Xeon Phi. In this paper, we propose a dynamic offload scheduler which assigns processor resources of the Xeon Phi to tasks by an offload level. We describe an effectiveness of the proposed method with evaluations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Intel Xeon Phi Coprocessor appears and it fully supports multitasking, but it does not automatically ensure high performance in this case. A conventional task level resource allocation scheduler could be used, but a processor utilization of the Xeon Phi is low because of idle time on the Xeon Phi. In this paper, we propose a [&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":[11,3],"tags":[1782,1483,854],"class_list":["post-11298","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-computer-science","tag-intel-xeon-phi","tag-task-scheduling"],"views":2545,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11298","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=11298"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/11298\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11298"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11298"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11298"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}