CUDA while very popular, is not as flexible with respect to target devices as OpenCL. While parallel algorithm research might address problems first with a CUDA C++ solution, those results are not easily portable to a target not directly supported by CUDA. In contrast, a SYCL C++ solution can operate on the larger variety of platforms supported by OpenCL. ReSYCLator is a plug-in for the C++ IDE Cevelop[2], that is itself an extension of Eclipse-CDT. ReSYCLator bridges the gap between algorithm availability and portability, by providing automatic transformation of CUDA C++ code to SYCL C++. A first attempt basing the transformation on NVIDIA’s Nsight Eclipse CDT plug-in showed that Nsight’s weak integration into CDT’s static analysis and refactoring infrastructure is insufficient. Therefore, an own CUDA-C++ parser and CUDA language support for Eclipse CDT was developed (CRITTER) that is a sound platform for transformations from CUDA C++ programs to SYCL based on AST transformations.<\/p>\n","protected":false},"excerpt":{"rendered":"
CUDA while very popular, is not as flexible with respect to target devices as OpenCL. While parallel algorithm research might address problems first with a CUDA C++ solution, those results are not easily portable to a target not directly supported by CUDA. In contrast, a SYCL C++ solution can operate on the larger variety of […]<\/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":[215,955,1782,14,20,1793,1845],"class_list":["post-18968","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-opencl","category-paper","tag-code-generation","tag-compilers","tag-computer-science","tag-cuda","tag-nvidia","tag-opencl","tag-sycl"],"views":5236,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18968","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=18968"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/18968\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=18968"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=18968"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=18968"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}