{"id":16118,"date":"2016-09-28T05:00:42","date_gmt":"2016-09-28T12:00:42","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=16118"},"modified":"2016-09-28T08:34:25","modified_gmt":"2016-09-28T15:34:25","slug":"16118","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2016\/09\/28\/16118\/","title":{"rendered":"Video: Why use Tables and Graphs for Knowledge Discovery System?"},"content":{"rendered":"<p><iframe loading=\"lazy\" src=\"https:\/\/www.youtube.com\/embed\/BPVChgAL-Ss\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><a href=\"http:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/09\/4295284527_aaa1686515_z.jpg\"><img decoding=\"async\" loading=\"lazy\" class=\"alignright size-medium wp-image-16119\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/09\/4295284527_aaa1686515_z-300x225.jpg\" alt=\"4295284527_aaa1686515_z\" width=\"300\" height=\"225\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/09\/4295284527_aaa1686515_z-300x225.jpg 300w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2016\/09\/4295284527_aaa1686515_z.jpg 500w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>In this video from the 2016 <a href=\"http:\/\/hpcuserforum.com\" target=\"_blank\">HPC User Forum<\/a> in Austin, John Feo from PNNL presents: <em>Why use Tables and Graphs for Knowledge Discovery System?<\/em><\/p>\n<p><em>&#8220;<a href=\"http:\/\/www.pnnl.gov\/science\/highlights\/highlight.asp?id=3805\" target=\"_blank\">GEMS<\/a> software provides a scalable solution for graph queries over increasingly large data sets.\u00a0As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data. They also demonstrated that GEMS generally outperformed a custom-hardware solution, showing the feasibility of using cheaper, commodity hardware to obtain comparable performance.&#8221;<\/em><\/p>\n<p><a href=\"http:\/\/www.pnnl.gov\/science\/staff\/staff_info.asp?staff_num=7284\" target=\"_blank\">Dr. John Feo<\/a> is the director of the Center for Adaptive Supercomputer Software at the Pacific Northwest Laboratory. Dr. Feo received his Ph.D. in Computer Science from The University of Texas at Austin. He began his career at Lawrence Livermore National Laboratory where he managed the Computer Science Group and was the principal investigator of the Sisal Language Project. Dr. Feo then joined Tera Computer Company (now Cray Inc) where he was a principal engineer and product manager for the MTA-1 and MTA-2, the first two generations of the Cray&#8217;s multithreaded architecture. After a short two year \u201csabbatical\u201d at Microsoft where he led a software group developing a next-generation virtual reality platform, he joined PNNL. Dr. Feo&#8217;s research interests are parallel programming, graph algorithms, multithreaded architectures, functional languages, and performance studies. He has published extensively in these fields. He has held academic positions at UC Davis and is an adjunct faculty at Washington State University.<\/p>\n<p><em><a href=\"http:\/\/hpcuserforum.com\/presentations\/austin2016\/JohnFeoWhyUseTablesndgraphs.pdf\" target=\"_blank\">View the Slides<\/a>\u00a0<\/em><\/p>\n<p>In related news, the next HPC User Forum event takes place in\u00a0<a href=\"http:\/\/hpcuserforum.com\/downloads\/oxford-info.pdf\" target=\"_blank\">Oxford<\/a>\u00a0<strong>Sept. 29-30<\/strong>.<\/p>\n<p><em><a href=\"http:\/\/insidehpc.com\/video-gallery-hpc-user-forum-in-austin-sept-6-8-2016\/\">See more talks in the HPC User Forum Video Gallery<\/a><\/em><\/p>\n<p><em><a href=\"http:\/\/insidehpc.com\/newsletter\">Sign up for our insideHPC Newsletter<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? &#8220;GEMS software provides a scalable solution for graph queries over increasingly large data sets. As computing tools and expertise used in conducting scientific research continue to expand, so have the enormity and diversity of the data being collected. Developed at Pacific Northwest National Laboratory, the Graph Engine for Multithreaded Systems, or GEMS, is a multilayer software system for semantic graph databases. In their work, scientists from PNNL and NVIDIA Research examined how GEMS answered queries on science metadata and compared its scaling performance against generated benchmark data sets. They showed that GEMS could answer queries over science metadata in seconds and scaled well to larger quantities of data.&#8221;<\/p>\n","protected":false},"author":2,"featured_media":16119,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,81,180,73,59,268,56,77,60,85],"tags":[484,106,276,483,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Video: Why use Tables and Graphs for Knowledge Discovery System? - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2016\/09\/28\/16118\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Video: Why use Tables and Graphs for Knowledge Discovery System? - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this video from the 2016 HPC User Forum in Austin, John Feo from PNNL presents: Why use Tables and Graphs for Knowledge Discovery System? &quot;GEMS software provides a scalable solution for graph queries over increasingly large data sets. 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