{"id":5339,"date":"2011-08-31T13:23:33","date_gmt":"2011-08-31T10:23:33","guid":{"rendered":"http:\/\/hgpu.org\/?p=5339"},"modified":"2011-08-31T13:23:33","modified_gmt":"2011-08-31T10:23:33","slug":"efficient-floating-point-texture-decompression","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5339","title":{"rendered":"Efficient floating-point texture decompression"},"content":{"rendered":"<p>We propose a novel hardware design for decoding compressed floating-point textures in a graphics processing unit (GPU). Our decoder is based on the NXR texture format, which provides lossy, fixed-rate 6:1 compression for floating-point textures. Our design exploits the constraints of the compressed pixel blocks to produce the correct output using only fixed-point arithmetic. This results in significantly lower silicon area occupation compared to pre-existing floating-point texture decoders.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We propose a novel hardware design for decoding compressed floating-point textures in a graphics processing unit (GPU). Our decoder is based on the NXR texture format, which provides lossy, fixed-rate 6:1 compression for floating-point textures. Our design exploits the constraints of the compressed pixel blocks to produce the correct output using only fixed-point arithmetic. This [&hellip;]<\/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":[36,11,3],"tags":[1787,832,1782,119],"class_list":["post-5339","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-paper","tag-algorithms","tag-compression","tag-computer-science","tag-presentation"],"views":2116,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5339","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=5339"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5339\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5339"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5339"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}