{"id":5988,"date":"2011-10-23T12:07:06","date_gmt":"2011-10-23T09:07:06","guid":{"rendered":"http:\/\/hgpu.org\/?p=5988"},"modified":"2011-10-23T12:07:06","modified_gmt":"2011-10-23T09:07:06","slug":"on-the-performance-of-gpu-public-key-cryptography","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=5988","title":{"rendered":"On the performance of GPU public-key cryptography"},"content":{"rendered":"<p>Graphics processing units (GPUs) have become increasingly popular over the last years as a cost-effective means of accelerating various computationally intensive tasks. We study the particular case of modular exponentiation, the crucial operation behind most modern public-key cryptography algorithms. We focus our attention on the NVIDIA GT200 architecture, currently one of the most popular for general purpose GPU computation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Graphics processing units (GPUs) have become increasingly popular over the last years as a cost-effective means of accelerating various computationally intensive tasks. We study the particular case of modular exponentiation, the crucial operation behind most modern public-key cryptography algorithms. We focus our attention on the NVIDIA GT200 architecture, currently one of the most popular for [&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":[36,11,89,3,287],"tags":[1787,1782,14,20,253,1800],"class_list":["post-5988","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-nvidia-cuda","category-paper","category-security","tag-algorithms","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-260","tag-security"],"views":2183,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5988","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=5988"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/5988\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5988"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5988"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}