{"id":2855,"date":"2011-02-15T14:18:08","date_gmt":"2011-02-15T14:18:08","guid":{"rendered":"http:\/\/hgpu.org\/?p=2855"},"modified":"2011-02-15T14:18:08","modified_gmt":"2011-02-15T14:18:08","slug":"prng-random-numbers-on-gpu","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=2855","title":{"rendered":"PRNG Random Numbers on GPU"},"content":{"rendered":"<p>Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80&#8217;s native Value4f floating point in RapidMind C++. Speed up is more than 40. Code is available via ftp ftp:\/\/cs.ucl.ac.uk\/genetic\/gp-code\/random-numbers\/gpu park-miller.tar.gz<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Limited numerical precision of nVidia GeForce 8800 GTX and other GPUs requires careful implementation of PRNGs. The Park-Miller PRNG is programmed using G80&#8217;s native Value4f floating point in RapidMind C++. Speed up is more than 40. Code is available via ftp ftp:\/\/cs.ucl.ac.uk\/genetic\/gp-code\/random-numbers\/gpu park-miller.tar.gz<\/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":[11,89,3],"tags":[1782,14,20,183,176,203,947],"class_list":["post-2855","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-8800-gtx","tag-package","tag-pseudo-random-number-generators","tag-rapidmind"],"views":2305,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2855","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=2855"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/2855\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=2855"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=2855"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=2855"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}