Heterogeneous many-core architectures offer a way to cope with energy consumption limitations of various computing systems from small mobile devices to large data-centers. However, programmers typically must consider a large diversity of architectural information to develop efficient software. In this paper we present our ongoing work towards a Platform Description Language (PDL) that enables to capture key architectural patterns of commonly used heterogeneous computing systems. PDL architecture patterns support programmers and tool chains by providing platform information in a well-defined and explicit manner. We have developed a source-to-source compiler that utilizes PDL descriptors to transform sequential task-based programs to a form that is convenient for execution on heterogeneous many-core computing systems. We show various usage scenarios of our PDL and demonstrate our approach for a commonly used scientific kernel.<\/p>\n","protected":false},"excerpt":{"rendered":"
Heterogeneous many-core architectures offer a way to cope with energy consumption limitations of various computing systems from small mobile devices to large data-centers. However, programmers typically must consider a large diversity of architectural information to develop efficient software. In this paper we present our ongoing work towards a Platform Description Language (PDL) that enables to […]<\/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":[11,90,3],"tags":[215,1782,452,20,251,379,1793],"class_list":["post-5956","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-code-generation","tag-computer-science","tag-heterogeneous-systems","tag-nvidia","tag-nvidia-geforce-gtx-285","tag-nvidia-geforce-gtx-480","tag-opencl"],"views":2086,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5956","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=5956"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5956\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5956"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5956"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5956"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}