{"id":13742,"date":"2015-03-14T02:02:40","date_gmt":"2015-03-14T00:02:40","guid":{"rendered":"http:\/\/hgpu.org\/?p=13742"},"modified":"2015-03-14T02:02:40","modified_gmt":"2015-03-14T00:02:40","slug":"heterogeneous-acceleration-of-volumetric-jpeg-2000","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=13742","title":{"rendered":"Heterogeneous Acceleration of Volumetric JPEG 2000"},"content":{"rendered":"<p>We present the implementation of a volumetric JPEG 2000 codec as a real-world use case of software acceleration with GPUs and multi-core CPUs. We present a generic methodology to accelerate existing code written in C with OpenCL. Furthermore, we account for the volumetric nature of the processed data and formulate associated optimization guidelines. The resulting software can exploit different accelerator types &#8211; GPUs and multi-core CPUs &#8211; and delivers a decent speedup on a variety of hardware platforms for a relatively small effort.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present the implementation of a volumetric JPEG 2000 codec as a real-world use case of software acceleration with GPUs and multi-core CPUs. We present a generic methodology to accelerate existing code written in C with OpenCL. Furthermore, we account for the volumetric nature of the processed data and formulate associated optimization guidelines. The resulting [&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":[33,90,3],"tags":[7,1361,452,1786,364,20,1457,1793,378],"class_list":["post-13742","post","type-post","status-publish","format-standard","hentry","category-image-processing","category-opencl","category-paper","tag-ati","tag-ati-radeon-hd-7950","tag-heterogeneous-systems","tag-image-processing","tag-jpeg2000","tag-nvidia","tag-nvidia-geforce-gtx-650-ti","tag-opencl","tag-tesla-c2050"],"views":2529,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13742","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=13742"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/13742\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=13742"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=13742"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=13742"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}