{"id":1662,"date":"2010-11-26T15:13:22","date_gmt":"2010-11-26T15:13:22","guid":{"rendered":"http:\/\/hgpu.org\/?p=1662"},"modified":"2010-11-26T15:13:22","modified_gmt":"2010-11-26T15:13:22","slug":"fast-disk-encryption-through-gpgpu-acceleration","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=1662","title":{"rendered":"Fast Disk Encryption through GPGPU Acceleration"},"content":{"rendered":"<p>We present the design and performance analysis of a GPU-optimized implementation of a disk encryption application employing the XTS mode of operation applied together with the Twofish algorithm within the well-known TrueCrypt suite. We show how to correctly tune the design parameters, including data allocation, thread packing, and parallelization strategy. Overall, our implementation of TrueCrypt running on a NVidia GTX260 GPU outperforms by 67% the baseline implementation running on a four core CPU.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present the design and performance analysis of a GPU-optimized implementation of a disk encryption application employing the XTS mode of operation applied together with the Twofish algorithm within the well-known TrueCrypt suite. We show how to correctly tune the design parameters, including data allocation, thread packing, and parallelization strategy. Overall, our implementation of TrueCrypt [&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":[1782,14,20,253,176,1800],"class_list":["post-1662","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-nvidia-cuda","category-paper","category-security","tag-computer-science","tag-cuda","tag-nvidia","tag-nvidia-geforce-gtx-260","tag-package","tag-security"],"views":1908,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1662","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=1662"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/1662\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1662"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1662"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}