{"614512":{"#nid":"614512","#data":{"type":"news","title":"17th Graph500 List Announced, The Top Machines for Running Data Applications Remain Steadfast Several Years Running   ","body":[{"value":"\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022http:\/\/graph500.org\/\u0022\u003E17th Graph500 list\u003C\/a\u003E \u0026mdash; which ranks supercomputers based on\u0026nbsp;how quickly they can build knowledge from massive-scale data sets \u0026mdash; was released Nov. 13 at\u0026nbsp;\u003Ca href=\u0022https:\/\/sc18.supercomputing.org\/\u0022\u003ESupercomputing 2018\u003C\/a\u003E (SC\u0026rsquo;18), with \u003Ca href=\u0022http:\/\/www.r-ccs.riken.jp\/en\/\u0022\u003ERIKEN Advanced Institute for Computational Science\u0026rsquo;s\u003C\/a\u003E (AICS) K-Computer defending its position in the number-one spot.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe number two and number three spots also remained fixed with the National Supercomputing Center in Wuxi\u0026rsquo;s Sunway TaihuLight as second and Lawrence Livermore National Laboratory\u0026rsquo;s DOE\/NNSA\/LLNL Sequoia in third.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDespite the top three machines leading again, a new machine made its way to the 5\u003Csup\u003Eth\u003C\/sup\u003E ranking on this year\u0026rsquo;s list: \u003Ca href=\u0022https:\/\/www.lrz.de\/services\/compute\/supermuc\/supermuc-ng\/\u0022\u003ELeibniz-Rechenzentrum\u0026rsquo;s SuperMUC-NG\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe SuperMUC-NG hails from Munich and boasts more than 311,040 cores and a peak performance of 26.9 petaflops with \u003Ca href=\u0022https:\/\/ark.intel.com\/products\/codename\/37572\/Skylake\u0022\u003EIntel Skylake processor\u003C\/a\u003Es.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;The Graph500 is a leading indicator of high-performance computing (HPC) development and often reveals trends regarding new technologies used in HPC machines,\u0026rdquo; said Georgia Tech School of Computational Science and Engineering Chair \u003Cstrong\u003EDavid Bader\u003C\/strong\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;It provides a benchmark standard to test a supercomputer\u0026rsquo;s abilities to construct, search, and conduct edge-detection for undirected graphs.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBader is a founding member of the Graph500 and serves as one of Graph500 executive committee members. He is joined by \u003Cstrong\u003EPeter Kogge\u003C\/strong\u003E\u0026nbsp;of the University of Notre Dame,\u0026nbsp;\u003Cstrong\u003EAndrew Lumsdaine\u003C\/strong\u003E\u0026nbsp;of Indiana University,\u0026nbsp;\u003Cstrong\u003ERichard Murphy\u003C\/strong\u003E\u0026nbsp;of Micron Technology Inc., \u003Cstrong\u003ETorsten Hoefler\u003C\/strong\u003E of ETH Zurich, and \u003Cstrong\u003EAnton Korzh\u003C\/strong\u003E of Micron Technology, Inc. \u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis committee \u0026ndash; along with an International Multidisciplinary Steering Committee comprising 30 international HPC experts from academia, national laboratories, and industry \u0026ndash; rank Graph500 machines based on the benchmark\u0026nbsp;standards.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Graph500 list was established in 2009 to complement an effort to create a benchmark for high-performance computing efforts. By creating this benchmark, the Graph500 serves as a way to indicate to academia, industry, and government the importance of progression in this field, as well as to maintain interest and engagement from world HPC leaders.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"The 17th Graph500 list \u2014 which ranks supercomputers based on how quickly they can build knowledge from massive-scale data sets \u2014 was released Nov. 13."}],"uid":"34541","created_gmt":"2018-11-21 16:38:13","changed_gmt":"2018-11-21 16:39:35","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2018-11-21T00:00:00-05:00","iso_date":"2018-11-21T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"614513":{"id":"614513","type":"image","title":"Graph 500","body":null,"created":"1542818361","gmt_created":"2018-11-21 16:39:21","changed":"1542818361","gmt_changed":"2018-11-21 16:39:21","alt":"Graph 500 announcement ","file":{"fid":"233960","name":"17thGraph500Winner.jpg","image_path":"\/sites\/default\/files\/images\/17thGraph500Winner.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/17thGraph500Winner.jpg","mime":"image\/jpeg","size":372289,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/17thGraph500Winner.jpg?itok=Q3mvdZ5G"}}},"media_ids":["614513"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:kristen.perez@cc.gatech.edu\u0022\u003Ekristen.perez@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}