{"id":6000,"date":"2011-10-24T22:31:17","date_gmt":"2011-10-24T19:31:17","guid":{"rendered":"http:\/\/hgpu.org\/?page_id=6000"},"modified":"2011-10-24T23:13:48","modified_gmt":"2011-10-24T20:13:48","slug":"hgpu-org-a-year-on-the-internet","status":"publish","type":"page","link":"https:\/\/hgpu.org\/?page_id=6000","title":{"rendered":"hgpu.org: a year on the Internet"},"content":{"rendered":"<style>\np{padding: 0.5em;}\n<\/style>\n<div class=\"singlepost\" STYLE=\"text-align: justify; \"><img decoding=\"async\" style=\"float: left; padding-right:1em;\" src=\"http:\/\/hgpu.org\/img\/hgpu-logo.png\" title=\"hgpu.org\" alt=\"hgpu.org\" \/><\/p>\n<p>On <i>October 25, 2010<\/i>, a year ago, the <a href=\"http:\/\/hgpu.org\">hgpu.org<\/a> site was launched.\n<\/p>\n<p><a href=\"http:\/\/hgpu.org\">hgpu.org<\/a> is a resource for people who seek the possibility to accelerate<br \/>\ntheir computations by means of Graphics Processing Units (GPU).<\/p>\n<p>The emergence of GPU which allow to perform parallel calculations over the last few years has been a prominent advance in acceleration of applications. General purpose GPU computing began with sophisticated graphics languages like <a href=\"http:\/\/hgpu.org\/?tag=cg\">Cg<\/a> and <a href=\"http:\/\/hgpu.org\/?tag=opengl\">OpenGL<\/a> but introduction of high-level programming languages such as <a href=\"http:\/\/hgpu.org\/?tag=cuda\">CUDA<\/a> and <a href=\"http:\/\/hgpu.org\/?tag=opencl\">OpenCL<\/a> substantially<br \/>\nfacilitated creation of codes for general purpose calculations on GPU and gave rise to huge number of<br \/>\napplications accelerated with GPU. Using of GPU provides order of magnitude performance gains over central processing units solutions in more cases with low energy consumption and low costs of the computations. Even consumer modern video cards consist of up to 1000 computing units with overall performance up to 5 TFlops.<\/p>\n<p>Within the year <a href=\"http:\/\/hgpu.org\/\">hgpu.org<\/a> has collected  and systematized more than 4100 <a href=\"http:\/\/hgpu.org\/?page_id=8&#038;cat=65\">papers<\/a> concerning programming, applications and hardware for high performance computing on GPU and related parallel architectures, since July 2011 links to video materials about GPGPU have become available for the site visitors.<\/p>\n<p><img decoding=\"async\" style=\"display: block; margin: 0 auto;\" src=\"http:\/\/chart.apis.google.com\/chart?chxr=0,2004,2011|1,0,1212&#038;chtt=Number%20of%20papers%20at%20hgpu.org&#038;chxt=x,y&#038;chg=14.2857142857,8.25&#038;chs=440x220&#038;cht=lc&#038;chco=FF0000,00FF00,000000&#038;chxs=0,676767,11.5,0,lt,676767&#038;chd=t:2,2,2,1,1,2,4,6|3,7,8,12,26,48,75,48|4,11,12,19,37,64,100,65&#038;chm=s,FF0000,0,-1,5|s,00FF00,1,-1,5|s,000000,2,-1,5|@thgpu.org,000099,0,.02:1.00,10&#038;chdl=ATI|nVidia|ALL&#038;chdlp=b&#038;chls=1|1|1\" title=\"Number of all papers for different platforms on hgpu.org\" alt=\"Number of all papers for different platforms on hgpu.org\" \/><\/p>\n<p><a href=\"http:\/\/hgpu.org\">hgpu.org<\/a> is tracking conferences, meetings and seminars on the matter providing description of the prominent <a href=\"http:\/\/hgpu.org\/?page_id=14&#038;cat=86\">events<\/a>.<\/p>\n<p><a href=\"http:\/\/hgpu.org\/?page_id=3314\"><img decoding=\"async\" style=\"float: left; padding-right:1em;\" src=\"http:\/\/hgpu.org\/img\/userdash.gif\" title=\"Free hgpu.org computational platform\" alt=\"Free hgpu.org computational platform\"\/><\/a>For the people who want to test applications on different platforms the <a href=\"http:\/\/hgpu.org\">hgpu.org<\/a> team design the two-node <a href=\"http:\/\/hgpu.org\/?page_id=3314\">computing system<\/a> with commodity NVIDIA and ATI graphics cards. <a href=\"http:\/\/hgpu.org\/?page_id=3314\">The system<\/a> can execute OpenCL applications delivered via the Web.<\/p>\n<p>We hope that information and services presented on <a href=\"http:\/\/hgpu.org\">hgpu.org<\/a> in the year have been found to be useful for GPGPU community. We welcome any kind of ideas, comments and propositions from GPGPU admirers.<\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>On October 25, 2010, a year ago, the hgpu.org site was launched. hgpu.org is a resource for people who seek the possibility to accelerate their computations by means of Graphics Processing Units (GPU). The emergence of GPU which allow to perform parallel calculations over the last few years has been a prominent advance in acceleration [&hellip;]<\/p>\n","protected":false},"author":351,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"footnotes":""},"class_list":["post-6000","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/pages\/6000","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/page"}],"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=6000"}],"version-history":[{"count":36,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/pages\/6000\/revisions"}],"predecessor-version":[{"id":6042,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/pages\/6000\/revisions\/6042"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6000"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}