Architecturally diverse computation exploits non-traditional computing platforms (e.g., field-programmable gate arrays, graphics processors, heterogeneous chip multiprocessors) to execute user applications. We have designed the Auto-Pipe tool set with the goal of easing the task of developing applications for architecturally diverse systems. Prior to and during the course of Auto-Pipe’s design, we have developed a number of real, substantial applications, and the the lessons learned during the development of these applications has had a direct bearing on the capabilities of Auto-Pipe. In this paper, we describe the relationship between our application development experience and Auto-Pipe. In short, how have applications guided the tools’ evolution and development?<\/p>\n","protected":false},"excerpt":{"rendered":"
Architecturally diverse computation exploits non-traditional computing platforms (e.g., field-programmable gate arrays, graphics processors, heterogeneous chip multiprocessors) to execute user applications. We have designed the Auto-Pipe tool set with the goal of easing the task of developing applications for architecturally diverse systems. Prior to and during the course of Auto-Pipe’s design, we have developed a number […]<\/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":[36,96,10,11,89,576,3,287],"tags":[1787,1794,1781,1782,14,1804,377,452,72,20,253,441,1800],"class_list":["post-3132","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-astrophysics","category-biology","category-computer-science","category-nvidia-cuda","category-finance","category-paper","category-security","tag-algorithms","tag-astrophysics","tag-biology","tag-computer-science","tag-cuda","tag-finance","tag-fpga","tag-heterogeneous-systems","tag-monte-carlo-simulation","tag-nvidia","tag-nvidia-geforce-gtx-260","tag-search","tag-security"],"views":1930,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3132","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=3132"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/3132\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=3132"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=3132"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=3132"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}