{"id":7932,"date":"2012-07-18T17:39:53","date_gmt":"2012-07-18T14:39:53","guid":{"rendered":"http:\/\/hgpu.org\/?p=7932"},"modified":"2012-07-18T17:39:53","modified_gmt":"2012-07-18T14:39:53","slug":"robust-gpgpu-plugin-development-for-rapidminer","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=7932","title":{"rendered":"Robust GPGPU plugin development for RapidMiner"},"content":{"rendered":"<p>In recent years, significant number of papers [1][2] have been published about general-purpose graphical processing unit (GPGPU) programs which are able to accelerate computationally intensive applications by several times over conventional CPU programs. These papers raise an important question: With the current developer tools is it possible to integrate these GPU programs into a major industry application without serious performance degradation? We chose the k-Nearest Neighbors algorithm and one of the most popular open source data mining tool, RapidMiner, to analyze the potential of GPU plugin development.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In recent years, significant number of papers [1][2] have been published about general-purpose graphical processing unit (GPGPU) programs which are able to accelerate computationally intensive applications by several times over conventional CPU programs. These papers raise an important question: With the current developer tools is it possible to integrate these GPU programs into a major [&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":[36,11,89,3],"tags":[1787,1782,14,348,349,20,379],"class_list":["post-7932","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","tag-algorithms","tag-computer-science","tag-cuda","tag-data-mining","tag-nearest-neighbour","tag-nvidia","tag-nvidia-geforce-gtx-480"],"views":4792,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7932","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=7932"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/7932\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=7932"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=7932"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=7932"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}