{"id":2918,"date":"2014-07-09T20:58:26","date_gmt":"2014-07-09T20:58:26","guid":{"rendered":"http:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918"},"modified":"2014-07-16T18:38:05","modified_gmt":"2014-07-16T18:38:05","slug":"into-the-lab-computer-science-and-software-engineering","status":"publish","type":"post","link":"http:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918","title":{"rendered":"Into the Lab: Computer Science and Software Engineering"},"content":{"rendered":"<p><strong>Weikuan Yu<\/strong>, associate professor of <a title=\"CSSE\" href=\"http:\/\/eng.auburn.edu\/programs\/csse\/index.html\" target=\"_blank\">computer science and software engineering<\/a>, is increasing the efficiency of computer systems that process big data. From international information technology corporations to the internet search engines we routinely use, Yu\u2019s work has the potential to accelerate the amount of data processed at one time, with one software product already released to Mellanox Technologies for the quick analysis of unstructured data.<\/p>\n<p>With funding from the National Science Foundation, Yu is currently exploring methods to achieve both system and task efficiency on high performance cluster computers. The project focuses on advancing the programming model MapReduce, used by leading corporations such as Yahoo and Facebook to process big data sets with multiple computing jobs simultaneously.<\/p>\n<p>Yu and his research team are creating a set of techniques across multiple layers of software packages by exploring cross-layer cooperation techniques to achieve system efficiency. He is also investigating cross-phase techniques to enhance job fairness and system throughput which enables data to be analyzed at every phase of the software package. To maximize the resource utilization and completion rate of processing multiple tasks, Yu is studying cross-job task co-scheduling techniques that recognize the relationship between jobs to process them in a productive manner. A wide variety of federal and industrial sponsors of Yu\u2019s big data research include the NSF, Lawrence Livermore National Laboratory, Oak Ridge National Laboratory, Mellanox Technologies, Intel and Scitor.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Weikuan Yu, associate professor of computer science and software engineering, is increasing the efficiency of computer systems that process big data. From international information technology corporations to the internet search engines we routinely use, Yu\u2019s work has the potential to accelerate the amount of data processed at one time, with [&hellip;]<\/p>\n","protected":false},"author":8,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[7],"tags":[543,143,542],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Into the Lab: Computer Science and Software Engineering &raquo; Auburn Engineer<\/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:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Into the Lab: Computer Science and Software Engineering &raquo; Auburn Engineer\" \/>\n<meta property=\"og:description\" content=\"Weikuan Yu, associate professor of computer science and software engineering, is increasing the efficiency of computer systems that process big data. From international information technology corporations to the internet search engines we routinely use, Yu\u2019s work has the potential to accelerate the amount of data processed at one time, with [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918\" \/>\n<meta property=\"og:site_name\" content=\"Auburn Engineer\" \/>\n<meta property=\"article:published_time\" content=\"2014-07-09T20:58:26+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2014-07-16T18:38:05+00:00\" \/>\n<meta name=\"author\" content=\"Morgan Martin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Morgan Martin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918\",\"url\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918\",\"name\":\"Into the Lab: Computer Science and Software Engineering &raquo; Auburn Engineer\",\"isPartOf\":{\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/#website\"},\"datePublished\":\"2014-07-09T20:58:26+00:00\",\"dateModified\":\"2014-07-16T18:38:05+00:00\",\"author\":{\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/#\/schema\/person\/7ab81b24bfc1bb5d4da1aa26be1059a9\"},\"breadcrumb\":{\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Into the Lab: Computer Science and Software Engineering\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/#website\",\"url\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/\",\"name\":\"Auburn Engineer\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/#\/schema\/person\/7ab81b24bfc1bb5d4da1aa26be1059a9\",\"name\":\"Morgan Martin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/1.gravatar.com\/avatar\/a04493b7c53f838be2729ff12d8a2bf9?s=96&d=mm&r=g\",\"contentUrl\":\"http:\/\/1.gravatar.com\/avatar\/a04493b7c53f838be2729ff12d8a2bf9?s=96&d=mm&r=g\",\"caption\":\"Morgan Martin\"},\"url\":\"http:\/\/ecm.eng.auburn.edu\/wp\/emag\/?author=8\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Into the Lab: Computer Science and Software Engineering &raquo; Auburn Engineer","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/ecm.eng.auburn.edu\/wp\/emag\/?p=2918","og_locale":"en_US","og_type":"article","og_title":"Into the Lab: Computer Science and Software Engineering &raquo; Auburn Engineer","og_description":"Weikuan Yu, associate professor of computer science and software engineering, is increasing the efficiency of computer systems that process big data. 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