{"id":8950,"date":"2013-02-18T21:24:51","date_gmt":"2013-02-18T19:24:51","guid":{"rendered":"http:\/\/hgpu.org\/?p=8950"},"modified":"2013-02-18T21:24:51","modified_gmt":"2013-02-18T19:24:51","slug":"accelerating-encryption-using-commodity-hardware","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8950","title":{"rendered":"Accelerating encryption using commodity hardware"},"content":{"rendered":"<p>Dedicated hardware encryption offers both low latency and high throughput at the expense of higher cost. A system that would encompass several architectures (SISD\/SIMD) with a high number of memory hierarchies might be able to perform close to a dedicated encryption unit at the fraction of the cost. This report establishes the possibility of building such a system highlighting the theoretical hardware\/software limitations of it. Examples of encryption architectures are presented along with current research in using CPU\/GPU configurations for encryption.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dedicated hardware encryption offers both low latency and high throughput at the expense of higher cost. A system that would encompass several architectures (SISD\/SIMD) with a high number of memory hierarchies might be able to perform close to a dedicated encryption unit at the fraction of the cost. This report establishes the possibility of building [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","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":[11,90,3,287],"tags":[1782,20,1411,974,1793,1800],"class_list":["post-8950","post","type-post","status-publish","format-standard","hentry","category-computer-science","category-opencl","category-paper","category-security","tag-computer-science","tag-nvidia","tag-nvidia-geforce-gt-640","tag-nvidia-geforce-gtx-580","tag-opencl","tag-security"],"views":2240,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8950","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=8950"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8950\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}