{"id":5321,"date":"2011-08-28T20:35:20","date_gmt":"2011-08-28T17:35:20","guid":{"rendered":"http:\/\/hgpu.org\/?p=5321"},"modified":"2011-08-28T20:35:20","modified_gmt":"2011-08-28T17:35:20","slug":"exposing-non-standard-architectures-to-embedded-software-using-compile-time-virtualisation","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5321","title":{"rendered":"Exposing non-standard architectures to embedded software using compile-time virtualisation"},"content":{"rendered":"<p>The architectures of embedded systems are often application-specific, containing multiple heterogenous cores, non-uniform memory, on-chip networks and custom hardware elements (e.g. DSP cores). Standard programming languages do not use these many of these features natively because they assume a traditional single processor and a single logical address space abstraction that hides these architectural details. This paper describes Compile-Time Virtualisation, a technique which uses a virtualisation layer to map software onto the target architecture whilst allowing the programmer to control the virtualisation mappings in order to effectively exploit custom architectures.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The architectures of embedded systems are often application-specific, containing multiple heterogenous cores, non-uniform memory, on-chip networks and custom hardware elements (e.g. DSP cores). Standard programming languages do not use these many of these features natively because they assume a traditional single processor and a single logical address space abstraction that hides these architectural details. This [&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":[1782,377,67,660,167],"class_list":["post-5321","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-computer-science","tag-fpga","tag-performance","tag-programming-languages","tag-virtualization"],"views":1805,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5321","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=5321"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5321\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5321"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5321"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5321"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}