OpenCL is an emerging platform for parallel computing that promises portability of applications across different architectures. This promise is seriously undermined, however, by the frequent use of floating-point arithmetic in scientific applications. Floating-point computations can yield vastly different results on different architectures – even IEEE 754-compliant ones -, potentially causing changes in control flow and ultimately incorrect (not just imprecise) output for the entire program. In this paper, we illustrate a few instances of non-trivial diverging floating-point computations and thus present a case for rigorous static analysis and verification methods for parallel floating point software running on IEEE-754 2008 compliant hardware. We discuss plans for such methods, with the goal to facilitate the automated prediction of portability issues in floating-point software.<\/p>\n","protected":false},"excerpt":{"rendered":"
OpenCL is an emerging platform for parallel computing that promises portability of applications across different architectures. This promise is seriously undermined, however, by the frequent use of floating-point arithmetic in scientific applications. Floating-point computations can yield vastly different results on different architectures – even IEEE 754-compliant ones -, potentially causing changes in control flow and […]<\/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":[1782,452,1793],"class_list":["post-7813","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","tag-computer-science","tag-heterogeneous-systems","tag-opencl"],"views":2175,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7813","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=7813"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7813\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7813"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}