{"id":29269,"date":"2024-06-30T14:08:36","date_gmt":"2024-06-30T11:08:36","guid":{"rendered":"https:\/\/hgpu.org\/?p=29269"},"modified":"2024-06-30T14:08:36","modified_gmt":"2024-06-30T11:08:36","slug":"a-survey-of-general-purpose-polyhedral-compilers","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=29269","title":{"rendered":"A Survey of General-purpose Polyhedral Compilers"},"content":{"rendered":"<p>Since the 1990\u2019s many implementations of polyhedral compilers have been written and distributed, either as source-to-source translating compilers or integrated into wider purpose compilers. This paper provides a survey on those various available implementations as of today, 2024. We list and describe most commonly available polyhedral schedulers and compiler implementations. Then, we compare the general-purpose polyhedral compilers using two main criteria, robustness and performance, on the PolyBench\/C set of benchmarks.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Since the 1990\u2019s many implementations of polyhedral compilers have been written and distributed, either as source-to-source translating compilers or integrated into wider purpose compilers. This paper provides a survey on those various available implementations as of today, 2024. We list and describe most commonly available polyhedral schedulers and compiler implementations. Then, we compare the general-purpose [&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":[11,89,90,3],"tags":[955,1782,14,20,2066,1793,176,1662],"class_list":["post-29269","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-opencl","category-paper","tag-compilers","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-a100","tag-opencl","tag-package","tag-survey"],"views":1143,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/29269","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=29269"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/29269\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=29269"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=29269"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=29269"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}