{"id":24108,"date":"2020-11-22T16:34:34","date_gmt":"2020-11-22T14:34:34","guid":{"rendered":"https:\/\/hgpu.org\/?p=24108"},"modified":"2020-11-22T16:34:34","modified_gmt":"2020-11-22T14:34:34","slug":"data-parallel-c-mastering-dpc-for-programming-of-heterogeneous-systems-using-c-and-sycl","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=24108","title":{"rendered":"Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL"},"content":{"rendered":"<p>This book is about programming for data parallelism using C++. If you are new to parallel programming, that is okay. If you have never heard of SYCL or the DPC++ compiler, that is also okay. SYCL is an industry-driven Khronos standard adding data parallelism to C++ for heterogeneous systems. DPC++ is an open source compiler project that is based on SYCL, a few extensions, and broad heterogeneous support that includes GPU, CPU, and FPGA support. All examples in this book compile and work with DPC++ compilers. If you are a C programmer who is not well versed in C++, you are in good company. Several of the authors of this book happily admit that we picked up C++ by reading books that used C++ like this one. With a little patience, this book should be approachable by C programmers with a desire to write modern C++ programs.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This book is about programming for data parallelism using C++. If you are new to parallel programming, that is okay. If you have never heard of SYCL or the DPC++ compiler, that is also okay. SYCL is an industry-driven Khronos standard adding data parallelism to C++ for heterogeneous systems. DPC++ is an open source compiler [&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":[11,3],"tags":[105,1782,377,452,1845],"class_list":["post-24108","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-book","tag-computer-science","tag-fpga","tag-heterogeneous-systems","tag-sycl"],"views":2390,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/24108","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=24108"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/24108\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=24108"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=24108"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=24108"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}