{"id":5565,"date":"2011-09-14T13:34:18","date_gmt":"2011-09-14T10:34:18","guid":{"rendered":"http:\/\/hgpu.org\/?p=5565"},"modified":"2011-09-14T13:34:18","modified_gmt":"2011-09-14T10:34:18","slug":"the-case-for-vos-the-vector-operating-system","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5565","title":{"rendered":"The case for VOS: the vector operating system"},"content":{"rendered":"<p>Operating systems research for many-core systems has recently focused its efforts on supporting the scalability of OS-intensive applications running on increasingly parallel hardware. Lost amidst the march towards this parallel future is efficiency: Perfectly parallel software may saturate the parallel capabilities of the host system, but in doing so can waste hardware resources. This paper describes our motivation for the Vector OS, a design inspired by vector processing systems that provides efficient parallelism. The Vector OS organizes and executes requests for operating system resources through &quot;vector&quot; interfaces that operate on vectors of objects. We argue that these interfaces allow the OS to capitalize on numerous chances to both eliminate redundant work found in OS-intensive systems and use the underlying parallel hardware to its full capability, opportunities that are missed by existing operating systems.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Operating systems research for many-core systems has recently focused its efforts on supporting the scalability of OS-intensive applications running on increasingly parallel hardware. Lost amidst the march towards this parallel future is efficiency: Perfectly parallel software may saturate the parallel capabilities of the host system, but in doing so can waste hardware resources. This paper [&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":[1782,852],"class_list":["post-5565","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-computer-science","tag-operating-systems"],"views":1923,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5565","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=5565"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5565\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5565"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5565"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5565"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}