{"id":6512,"date":"2011-12-07T17:32:50","date_gmt":"2011-12-07T15:32:50","guid":{"rendered":"http:\/\/hgpu.org\/?p=6512"},"modified":"2011-12-07T17:32:50","modified_gmt":"2011-12-07T15:32:50","slug":"gpu-implementation-of-the-keccak-hash-function-family","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=6512","title":{"rendered":"GPU Implementation of the Keccak Hash Function Family"},"content":{"rendered":"<p>Hash functions are one of the most important cryptographic primitives. Some of the currently employed hash functions like SHA-1 or MD5 are considered broken today. Therefore, in 2007 the US National Institute of Standards and Technology announced a competition for a new family of hash functions. Keccak is one of the five final candidates to be chosen as SHA-3 hash function standard. In this paper, we present an implementation of the Keccak hash function family on graphics cards, using NVIDIA&#8217;s CUDA framework. Our implementation allows to choose one function out of the hash function family and hash arbitrary documents. In addition we present the first ready-to-use implementation of the tree mode of Keccak which is even more suitable for parallelization.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Hash functions are one of the most important cryptographic primitives. Some of the currently employed hash functions like SHA-1 or MD5 are considered broken today. Therefore, in 2007 the US National Institute of Standards and Technology announced a competition for a new family of hash functions. Keccak is one of the five final candidates to [&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":[11,89,3,287],"tags":[1782,14,132,20,436,176,1800,378],"class_list":["post-6512","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","category-security","tag-computer-science","tag-cuda","tag-hashing","tag-nvidia","tag-nvidia-geforce-gtx-295","tag-package","tag-security","tag-tesla-c2050"],"views":3871,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6512","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=6512"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/6512\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6512"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6512"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6512"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}