{"id":13225,"date":"2014-12-13T22:57:44","date_gmt":"2014-12-13T20:57:44","guid":{"rendered":"http:\/\/hgpu.org\/?p=13225"},"modified":"2014-12-13T22:59:13","modified_gmt":"2014-12-13T20:59:13","slug":"c-amp-accelerated-massive-parallelism-with-microsoft-visual-c","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=13225","title":{"rendered":"C++ AMP: Accelerated Massive Parallelism with Microsoft Visual C++"},"content":{"rendered":"<p>Capitalize on the faster GPU processors in today\u2019s computers with the C++ AMP code library\u2014and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing this library in your applications.<\/p>\n<p>Discover how to:<br \/>\n&#8211; Gain greater code performance using graphics processing units (GPUs)<br \/>\n&#8211; Choose accelerators that enable you to write code for GPUs<br \/>\n&#8211; Apply thread tiles, tile barriers, and tile static memory<br \/>\n&#8211; Debug C++ AMP code with Microsoft Visual Studio\u00ae<br \/>\n&#8211; Use profiling tools to track the performance of your code<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Capitalize on the faster GPU processors in today\u2019s computers with the C++ AMP code library\u2014and bring massive parallelism to your project. With this practical book, experienced C++ developers will learn parallel programming fundamentals with C++ AMP through detailed examples, code snippets, and case studies. Learn the advantages of parallelism and get best practices for harnessing [&hellip;]<\/p>\n","protected":false},"author":584,"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":[105,1641,660],"class_list":["post-13225","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-paper","tag-book","tag-c-amp","tag-programming-languages"],"views":3662,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13225","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\/584"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=13225"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13225\/revisions"}],"predecessor-version":[{"id":13226,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13225\/revisions\/13226"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}