{"id":8721,"date":"2013-01-02T20:50:30","date_gmt":"2013-01-02T18:50:30","guid":{"rendered":"http:\/\/hgpu.org\/?p=8721"},"modified":"2013-01-02T21:41:27","modified_gmt":"2013-01-02T19:41:27","slug":"using-p-system-with-gpu-model-to-design-and-implement-a-public-key-cryptography","status":"publish","type":"post","link":"https:\/\/hgpu.org\/?p=8721","title":{"rendered":"Using P System with GPU Model to Design and Implement a Public Key Cryptography"},"content":{"rendered":"<p>Simulators are limited by the available resources on the GPU as well as the CPU. Simulation of P systems with active membrane using GPUs is a new concept in the development of applications for membrane computing. P systems are an alternative approach to extract all performance available on GPUs due to its parallel nature. In this paper, a design and an implementation of a simulator for a cryptography system using GPU in a P system frame is presented. Then a comparative study is conducted concerning the performance of the GPU model and the CPU model in terms of the needed time to perform encryption \/decryption processes. The results show that the proposed GPU system can help in enhancement of encryption \/decryption algorithm running in membrane environment.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Simulators are limited by the available resources on the GPU as well as the CPU. Simulation of P systems with active membrane using GPUs is a new concept in the development of applications for membrane computing. P systems are an alternative approach to extract all performance available on GPUs due to its parallel nature. In [&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":[36,11,3,287],"tags":[1787,7,1396,1782,743,752,1395,1800],"class_list":["post-8721","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-computer-science","category-paper","category-security","tag-algorithms","tag-ati","tag-ati-radeon-hd-4650","tag-computer-science","tag-membrane-computing","tag-p-systems","tag-rsa","tag-security"],"views":2869,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8721","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=8721"}],"version-history":[{"count":1,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8721\/revisions"}],"predecessor-version":[{"id":8724,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/8721\/revisions\/8724"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8721"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8721"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8721"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}