{"id":96209,"date":"2013-12-20T17:01:24","date_gmt":"2013-12-20T22:01:24","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/blue-gene-wikipedia-the-free-encyclopedia.php"},"modified":"2013-12-20T17:01:24","modified_gmt":"2013-12-20T22:01:24","slug":"blue-gene-wikipedia-the-free-encyclopedia","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/blue-gene-wikipedia-the-free-encyclopedia.php","title":{"rendered":"Blue Gene &#8211; Wikipedia, the free encyclopedia"},"content":{"rendered":"<p><p>    Blue Gene is an IBM project aimed at designing    supercomputers that can reach operating speeds in the PFLOPS (petaFLOPS) range, with    low power consumption.  <\/p>\n<p>    The project created three generations of supercomputers,    Blue Gene\/L, Blue Gene\/P, and Blue Gene\/Q.    Blue Gene systems have often led the TOP500[1]    and Green500[2]    rankings of the most powerful and most power efficient    supercomputers, respectively. Blue Gene systems have also    consistently scored top positions in the Graph500 list.[3]    The project was awarded the 2009 National Medal of    Technology and Innovation.[4]  <\/p>\n<p>    In December 1999, IBM announced a US$100 million research    initiative for a five-year effort to build a massively parallel computer, to be applied to the study    of biomolecular phenomena such as protein    folding.[5] The    project had two main goals: to advance our understanding of the    mechanisms behind protein folding via large-scale simulation,    and to explore novel ideas in massively parallel machine    architecture and software. Major areas of investigation    included: how to use this novel platform to effectively meet    its scientific goals, how to make such massively parallel    machines more usable, and how to achieve performance targets at    a reasonable cost, through novel machine architectures. The    initial design for Blue Gene was based on an early version of    the Cyclops64    architecture, designed by Monty Denneau. The initial research and    development work was pursued at IBM T.J.    Watson Research Center.  <\/p>\n<p>    At IBM, Alan Gara started working on an extension of the QCDOC    architecture into a more general-purpose supercomputer: The 4D    nearest-neighbor interconnection network was replaced by a    network supporting routing of messages from any node to any    other; and a parallel I\/O subsystem was added. DOE started    funding the development of this system and it became known as    Blue Gene\/L (L for Light); development of the original Blue    Gene system continued under the name Blue Gene\/C (C for    Cyclops) and, later, Cyclops64.  <\/p>\n<p>    In November 2004 a 16-rack system, with    each rack holding 1,024 compute nodes, achieved first place in    the TOP500 list, with    a Linpack performance of 70.72 TFLOPS.[1]    It thereby overtook NEC's Earth Simulator, which had held the    title of the fastest computer in the world since 2002. From    2004 through 2007 the Blue Gene\/L installation at LLNL[6]    gradually expanded to 104 racks, achieving 478 TFLOPS Linpack    and 596 TFLOPS peak. The LLNL BlueGene\/L installation held the    first position in the TOP500 list for 3.5 years, until in June    2008 it was overtaken by IBM's Cell-based Roadrunner    system at Los Alamos National    Laboratory, which was the first system to surpass the 1    PetaFLOPS mark. The system was built in Rochester, MN IBM    plant.  <\/p>\n<p>    While the LLNL installation was the largest Blue Gene\/L    installation, many smaller installations followed. In November    2006, there were 27 computers on the TOP500 list using the Blue Gene\/L    architecture. All these computers were listed as having an    architecture of eServer Blue Gene Solution. For example,    three racks of Blue Gene\/L were housed at the San Diego Supercomputer    Center.  <\/p>\n<p>    While the TOP500    measures performance on a single benchmark application,    Linpack, Blue Gene\/L also set records for    performance on a wider set of applications. Blue Gene\/L was the    first supercomputer ever to run over 100 TFLOPS sustained on a real world application,    namely a three-dimensional molecular dynamics code (ddcMD),    simulating solidification (nucleation and growth processes) of    molten metal under high pressure and temperature conditions.    This achievement won the 2005 Gordon Bell Prize.  <\/p>\n<p>    In June 2006, NNSA and IBM    announced that Blue Gene\/L achieved 207.3 TFLOPS on a quantum    chemical application (Qbox).[7] At    Supercomputing 2006,[8] Blue    Gene\/L was awarded the winning prize in all HPC Challenge    Classes of awards.[9] In 2007,    a team from the IBM Almaden Research    Center and the University of Nevada ran    an artificial neural network    almost half as complex as the brain of a mouse for the    equivalent of a second (the network was run at 1\/10 of normal    speed for 10 seconds).[10]  <\/p>\n<p>    The Blue Gene\/L supercomputer was unique in the following    aspects:[11]  <\/p>\n<p>    The Blue Gene\/L architecture was an evolution of the QCDSP and    QCDOC architectures.    Each Blue Gene\/L Compute or I\/O node was a single ASIC with    associated DRAM    memory chips. The ASIC integrated two 700MHz PowerPC 440 embedded processors, each with a    double-pipeline-double-precision Floating Point Unit (FPU), a cache sub-system with    built-in DRAM controller and the logic to support multiple    communication sub-systems. The dual FPUs gave each Blue Gene\/L    node a theoretical peak performance of 5.6 GFLOPS (gigaFLOPS). The two    CPUs were not cache coherent with    one another.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read this article: <\/p>\n<p><a target=\"_blank\" href=\"http:\/\/en.wikipedia.org\/wiki\/Blue_Gene\" title=\"Blue Gene - Wikipedia, the free encyclopedia\">Blue Gene - Wikipedia, the free encyclopedia<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Blue Gene is an IBM project aimed at designing supercomputers that can reach operating speeds in the PFLOPS (petaFLOPS) range, with low power consumption.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/blue-gene-wikipedia-the-free-encyclopedia.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[41],"tags":[],"class_list":["post-96209","post","type-post","status-publish","format-standard","hentry","category-super-computer"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/96209"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=96209"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/96209\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=96209"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=96209"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=96209"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}