{"id":221929,"date":"2017-06-21T22:01:41","date_gmt":"2017-06-22T02:01:41","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/davide-supercomputer-named-to-top500-green500-lists-hpcwire-blog.php"},"modified":"2017-06-21T22:01:41","modified_gmt":"2017-06-22T02:01:41","slug":"davide-supercomputer-named-to-top500-green500-lists-hpcwire-blog","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/davide-supercomputer-named-to-top500-green500-lists-hpcwire-blog.php","title":{"rendered":"DAVIDE Supercomputer Named to TOP500, Green500 Lists &#8211; HPCwire (blog)"},"content":{"rendered":"<p><p>    FRANKFURT, Germany, June 21, 2017  At the International    Supercomputing Conference 2017, IBM Business Partner and    OpenPOWER Foundation member, E4 Computer Engineering, the    Italian technology provider of leading-edge solutions for HPC,    data analytics and AI, announced that D.A.V.I.D.E. (Development    for an Added Value Infrastructure Designed in Europe), a    multi-node cluster powered by IBM POWER8 processor technology    with NVIDIA Tesla P100 GPU accelerators and NVIDIA NVLink    interconnect technology, entered the prestigious TOP500 list.  <\/p>\n<p>    Twice a year, Top500.org    publishes the TOP500 and Green500 lists. The TOP500 ranks    supercomputing environments by performance capabilities, as    determined by the Linpack benchmark, and recognizes the vendors    and technologies that power the most powerful data intensive    environments in the world. The Green500 list ranks the top 500    supercomputers in the world by energy efficiency.  <\/p>\n<p>    D.A.V.I.D.E.,    developed within the Partnership for Advanced Computing in    Europe (PRACE), provides a compelling solution for    workloads with highly parallelized code and demanding memory    bandwidth requirements such as weather forecasting, QCD,    machine learning, computational fluid dynamics and genomic    sequencing.  <\/p>\n<p>    The supercomputer represents the third generation of the    Pre-Commercial    Procurement project for the development of a Whole-System Design    for Energy Efficient HPC, and its innovative design uses    the most advanced technologies to create a leading edge HPC    cluster that provides powerful performance, low power    consumption and ease of use.  <\/p>\n<p>    D.A.V.I.D.E. was built with best-in-class components. The    machine has a total of 45 nodes connected via Infiniband, with    a total peak performance of 990 TFlops and an estimated power    consumption of less than 2kW per node. Each node is a 2U form    factor and hosts two IBM POWER8 Processors with NVIDIA NVLink    and four Tesla P100 data center GPUs, with the intra-node    communication layout optimized for best performance. Nodes are    connected with an efficient EDR 100 Gb\/s networking.  <\/p>\n<p>    The multi-node cluster was fully configured in April 2017 at    the E4s facility in order to perform initial testing, running    baseline performance, power and energy benchmarks using    standard codes in an aircooled configuration. D.A.V.I.D.E. is    currently available for a select number of users for porting    applications and profiling energy consumption.  <\/p>\n<p>    A key feature of the multi-node cluster is an innovative    technology for measuring, monitoring and capping the power    consumption of the node and of the whole system, through the    collection of data from the relevant components (processors,    memory, GPUs, fans) to further improve energy efficiency. The    technology has been developed in collaboration with the    University of Bologna.  <\/p>\n<p>    We are delighted to have reached this prestigious result to be    included in the TOP500 list. The team worked very hard to    design and develop this prototype and is very proud to see the    system up and running; we look forward to seeing it fully    available to the scientific community, said Cosimo Gianfreda,    CTO, E4 Computer Engineering. With our work we have    demonstrated that it is possible to integrate cost effective    technologies to achieve high performance and significantly    improve energy efficiency. We thank all our partners for the    close collaboration that contributed to this great    achievement.  <\/p>\n<p>    HPC and AI are converging and the D.A.V.I.D.E. supercomputer    will help the scientific community to run both kinds of    workloads on an accelerated system, said Stefan Kraemer,    Director of HPC for EMEA at NVIDIA: Engery-efficient    accelerated computing is the only way to reach the ambitious    goals Europe has set for its HPC future.  <\/p>\n<p>    About E4 Computer Engineering  <\/p>\n<p>    Since 2002, E4 Computer Engineering has been innovating and    actively encouraging the adoption of new computing and storage    technologies. Because new ideas are so important, we invest    heavily in research and hence in our future. Thanks to our    comprehensive range of hardware, software and services, we are    able to offer our customers complete solutions for their most    demanding workloads on: HPC, Big-Data, AI, Deep Learning, Data    Analytics, Cognitive Computing and for any challenging Storage    and Computing requirements. E4. When Performance Matters.  <\/p>\n<p>    Source: E4 Computer Engineering  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Visit link:<\/p>\n<p><a target=\"_blank\" href=\"https:\/\/www.hpcwire.com\/off-the-wire\/d-v-d-e-supercomputer-named-top500-green500-lists\/\" title=\"DAVIDE Supercomputer Named to TOP500, Green500 Lists - HPCwire (blog)\">DAVIDE Supercomputer Named to TOP500, Green500 Lists - HPCwire (blog)<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> FRANKFURT, Germany, June 21, 2017 At the International Supercomputing Conference 2017, IBM Business Partner and OpenPOWER Foundation member, E4 Computer Engineering, the Italian technology provider of leading-edge solutions for HPC, data analytics and AI, announced that D.A.V.I.D.E. (Development for an Added Value Infrastructure Designed in Europe), a multi-node cluster powered by IBM POWER8 processor technology with NVIDIA Tesla P100 GPU accelerators and NVIDIA NVLink interconnect technology, entered the prestigious TOP500 list.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/super-computer\/davide-supercomputer-named-to-top500-green500-lists-hpcwire-blog.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-221929","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\/221929"}],"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=221929"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/221929\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=221929"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=221929"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=221929"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}