{"id":29677,"date":"2025-01-13T13:38:05","date_gmt":"2025-01-13T11:38:05","guid":{"rendered":"https:\/\/hgpu.org\/?p=29677"},"modified":"2025-01-13T13:38:05","modified_gmt":"2025-01-13T11:38:05","slug":"scale-ahead-of-time-compilation-of-cuda-for-amd-gpus","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=29677","title":{"rendered":"SCALE-Ahead-Of-Time Compilation of CUDA for AMD GPUs"},"content":{"rendered":"<p>SCALE is a new solution by Spectral Compute that empowers developers to write code once and deploy it across a range of GPU hardware platforms without modifying the original code. Designed to extend CUDA\u2019s capabilities to AMD GPUs, SCALE maintains CUDA compatibility while introducing novel features that streamline GPU programming. This demo paper presents SCALE\u2019s functionalities and impact, particularly its implications for lowering development costs, enhancing flexibility, and addressing supply chain concerns within the GPU ecosystem.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>SCALE is a new solution by Spectral Compute that empowers developers to write code once and deploy it across a range of GPU hardware platforms without modifying the original code. Designed to extend CUDA\u2019s capabilities to AMD GPUs, SCALE maintains CUDA compatibility while introducing novel features that streamline GPU programming. This demo paper presents SCALE\u2019s [&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":[11,89,3],"tags":[7,955,1782,14,2063,20,176,1300,193],"class_list":["post-29677","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-ati","tag-compilers","tag-computer-science","tag-cuda","tag-hip","tag-nvidia","tag-package","tag-portability","tag-ptx"],"views":1503,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/29677","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=29677"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/29677\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=29677"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=29677"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=29677"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}