{"62604":{"#nid":"62604","#data":{"type":"news","title":"Georgia Tech Engaged in $100 Million Next-Generation Computing Initiative","body":[{"value":"\u003Cp\u003EImagine that one of the world\u0027s most powerful high performance \ncomputers could be packed into a single rack just 24 inches wide and \npowered by a fraction of the electricity consumed by comparable current \nmachines.  That would allow an unprecedented amount of computing power \nto be installed on aircraft, carried onto the battlefield for commanders\n -- and made available to researchers everywhere.\u003C\/p\u003E\n\u003Cp\u003EPutting this computing power into a small and energy-efficient \npackage, and making it reliable and easier to program, are among the \ngoals of the new DARPA Ubiquitous High Performance Computing (UHPC) \ninitiative.  Georgia Tech researchers from three different units are \nsupporting key components of this $100 million challenge, which will \nrequire development of revolutionary approaches not bound by existing \ncomputing paradigms.\n\u003C\/p\u003E\n\u003Cp\u003EIf UHPC meets its ambitious eight-year goals, the new approaches and \ntechnologies it develops could redefine the way that computing systems \nare envisioned, designed and used.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022The opportunity we have is to go far beyond the current product \nroadmaps,\u0022 said David Bader, a professor in Georgia Tech\u0027s School of \nComputational Science and Engineering.  \u0022We really have the opportunity \nto change the industry and to design our applications with new computing\n architectures.  For the first time in the history of computing, we will\n be able to work with a clean slate.\u0022\n\u003C\/p\u003E\n\u003Cp\u003ETo attain the program\u0027s ambitious goals, DARPA funded four groups -- \nled by NVIDIA Corp., Intel Corp., the Massachusetts Institute of \nTechnology and Sandia National Laboratories -- to develop UHPC \nprototypes.  A fifth group, led by the Georgia Tech Research Institute \n(GTRI), will develop applications, benchmarking and metrics that will be\n used to drive UHPC system design considerations and support performance\n analysis of the developing system designs.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Our team is developing a set of five difficult problems of a size \nand scope that the machines they are talking about should be able to \naccomplish,\u0022 said Dan Campbell, a GTRI principal research engineer who \nis co-principal investigator of the benchmarking initiative.  \u0022Our \nchallenge is picking the right problems and specifying them at the right\n level of abstraction to allow innovation and properly represent what \nthe DoD will need in 2018.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EThe five problems highlight the unique computing needs of the U.S. military:\n\u003C\/p\u003E\n\u003Cp\u003E\u2022 Analysis of the vast streams of data originating with widespread \nsensor systems, unmanned aerial vehicles and new generations of radar \nsystems.  The data will be analyzed for nuggets of useful information in\n ways that are not possible today.\n\u003C\/p\u003E\n\u003Cp\u003E\u2022 A dynamic graph challenge, in which many entities interact to \ncreate a problem of \u0022connecting the dots.\u0022  That could mean analyzing \nrelationships in social media to find possible adversaries, or \nunderstanding network traffic for cyber-security challenges.\n\u003C\/p\u003E\n\u003Cp\u003E\u2022 The decision tree, comparable to a chess game in which many \npossible interconnected options, each with complex implications, must be\n analyzed quickly.  This could help field commanders or corporate CEOs \nmake better decisions.\n\u003C\/p\u003E\n\u003Cp\u003E\u2022 Materials shock and hydrodynamics issues, challenges important to improving future generations of materials.\n\u003C\/p\u003E\n\u003Cp\u003E\u2022 Molecular dynamics simulations, which use high-performance \ncomputers to understand interactions between very large systems, such as\n protein folding.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022We need to be able to take in a lot more data and understand it a \nlot more thoroughly than we can now,\u0022 said Mark Richards, a principal \nresearch engineer in the Georgia Tech School of Electrical and Computer \nEngineering and co-principal investigator of the benchmarking team.  \n\u0022That might allow us to find adversaries we can\u0027t find now because we\u0027re\n unable to tease that information out of the data flow.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EWhile the benefits of making such computing power widely available \nare obvious, how these machines will be designed, built and reliably \noperated is not.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Meeting these very ambitious program goals will pose significant \ntechnical challenges,\u0022 said Bader, who leads application development on \nthe NVIDIA team and is part of the benchmarking group.  \u0022The technology \nroadmaps in such areas as interconnection networks, microprocessor \ndesign and technology fabrication will be pushed to their limits.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EMeeting power limitations of just 57 kilowatts per rack -- the amount\n of electricity produced by a portable military generator -- may be the \ntoughest among them.  The fastest computer currently in operation \nrequires seven megawatts of power.  \n\u003C\/p\u003E\n\u003Cp\u003E\u0022Reducing the power consumption means less energy per computation,\u0022 \nnoted Richards.  \u0022But as we lower the device voltage, we get closer to \nthe physical noise.  That will allow more errors due to the physics of \nthe devices, and all kinds of things will have to be done to address \nthat.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EAnd the entire machine will have to fit into a 24-inch wide, 78-inch high and 40-inch deep cabinet.\n\u003C\/p\u003E\n\u003Cp\u003EBut the physical implementation of the machines is just one part of \nthe challenge, Bader noted.  How people will work with them poses a \nperhaps more difficult challenge because it will require thinking about \ncomputers in a new way.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022Over the past 20 or 30 years, we\u0027ve taken a single computing design \nand kept tweaking it through advances like miniaturizing parts,\u0022 he \nsaid.  \u0022But we really haven\u0027t changed the global nature of how the \nmachine works. To meet DARPA\u0027s power efficiency goals, we really will \nneed to change the way we program the machine.\u0022\n\u003C\/p\u003E\n\u003Cp\u003EThat also affects the humans who interact with these highly-parallel \nmachines, which could have as many as a half-million separate threads \noperating at the same time.  DARPA\u0027s initial goal is to build machines \ncapable of petaflop speed -- a trillion operations per second -- which \ncould lead into the next generation of exascale computers a thousand \ntimes more capable.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022We will need to find new ways of thinking about computers that will \nmake it feasible for humans to comprehend what is going on inside,\u0022 \nCampbell said. \u0022It\u0027s a huge programming challenge.\u0022\n\u003C\/p\u003E\n\u003Cp\u003ETo encourage collaboration in solving these complex problems, DARPA \nhas embraced the idea of open innovation.  It expects the organizations \nto work together on common critical topics, creating a collaborative \nenvironment to address the system challenges.  New technology generated \nby the program -- believed to be today\u0027s largest DoD computing research \ninitiative -- is likely to move quickly into industry.\n\u003C\/p\u003E\n\u003Cp\u003E\u0022There is certainly an expectation among the companies that what they\n are doing in this project is going to change how we do mainstream \ncomputing,\u0022 Bader said. \u0022The technology transfer implications are \ncertainly obvious.\u0022\n\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"DARPA Program Will Put Petascale Computer into a 24-inch Cabinet"}],"field_summary":[{"value":"\u003Cp\u003EGeorgia Tech researchers are engaged in a $100 million DARPA program to fit a high performance petaflop computer into a single rack just 24 inches wide and power it with a fraction of the electricity consumed by comparable current machines. \u003Cem\u003ESource: GT Research News\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech is supporting a major new computing initiative."}],"uid":"27174","created_gmt":"2010-11-08 12:20:40","changed_gmt":"2016-10-08 03:07:42","author":"Mike Terrazas","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2010-11-08T00:00:00-05:00","iso_date":"2010-11-08T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"62602":{"id":"62602","type":"image","title":"Georgia Tech UHPC researchers","body":null,"created":"1449176382","gmt_created":"2015-12-03 20:59:42","changed":"1475894544","gmt_changed":"2016-10-08 02:42:24","alt":"Georgia Tech UHPC researchers","file":{"fid":"191520","name":"tmv30679.jpg","image_path":"\/sites\/default\/files\/images\/tmv30679_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tmv30679_0.jpg","mime":"image\/jpeg","size":1219104,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tmv30679_0.jpg?itok=fCDtuHx2"}}},"media_ids":["62602"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[],"keywords":[{"id":"3427","name":"High performance computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EStefany Sanders\u003C\/p\u003E\u003Cp\u003ECollege of Computing\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:stefany@cc.gatech.edu\u0022\u003Estefany@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E404-312-6620\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"174131":{"#nid":"174131","#data":{"type":"news","title":"Georgia Tech Wins $2.7 Million to Advance Big-Data Technology for DARPA","body":[{"value":"\u003Cp\u003EA research team at the Georgia Institute of Technology has received a $2.7 million award from the Defense Advanced Research Projects Agency (DARPA) to develop technology intended to help address the challenges of \u0022big data\u0022 \u2013 data sets that are both massive and complex.\u003C\/p\u003E\u003Cp\u003EThe contract is part of DARPA\u2019s XDATA program, a four-year research effort to develop new computational techniques and open-source software tools for processing and analyzing data, motivated by defense needs. Georgia Tech has been selected by DARPA to perform research in the area of scalable analytics and data-processing technology.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech team will focus on producing novel machine-learning approaches capable of analyzing very large-scale data. In addition, team members will pursue development of distributed computing methods that can process data-analytics algorithms very rapidly by simultaneously utilizing a variety of systems, including supercomputers, parallel-processing environments and networked distributed computing systems.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0022This award allows us to build on the foundations we\u0027ve already established in large-scale data analytics and visualization,\u0022 said Richard Fujimoto, Regents\u0027 Professor and chair of Georgia Tech\u2019s School of Computational Science and Engineering (CSE),\u0026nbsp; and leader of the Georgia Tech team. \u0022The algorithms, tools and other technologies that we develop will all be open source, to allow them to be customized to address new problems arising in defense and other applications.\u0022\u003C\/p\u003E\u003Cp\u003EUnder the open-source paradigm, collaborating developers create and maintain software and associated tools. Program source code is made widely available and can be improved by a community of developers and modified to address changing needs.\u003C\/p\u003E\u003Cp\u003EThe XDATA award is part of a $200 million multi-agency federal initiative for big-data research and development announced in March. The initiative is aimed at improving the ability to extract knowledge and insights from the nation\u0027s fast-growing volumes of digital data. Numerous big-data-related research endeavors are underway at Georgia Tech, and the institute recently established the Center for High-Performance Computing and the Center for Data Analytics and Machine Learning.\u003C\/p\u003E\u003Cp\u003EThe Georgia Tech XDATA effort will build upon foundational methods and software developed under the Foundations of Data and Visual Analytics (FODAVA) research initiative, a 17-university program led by Georgia Tech and funded by the National Science Foundation and the Department of Homeland Security.\u0026nbsp; The FODAVA effort has produced the Visual Information Retrieval and Recommendation System (VIZIRR) and a research test bed.\u003C\/p\u003E\u003Cp\u003E\u0022The FODAVA document retrieval and recommendation system uses automated algorithms to give users a range of subject-search choices and information visualization capabilities in an integrated way, so that users can interact with the data throughout the problem-solving process to produce more meaningful solutions,\u0022 said Haesun Park, a School of Computational Science and Engineering professor and FODAVA director.\u0026nbsp; \u0022For XDATA, we will enhance these visualization and interaction capabilities and develop distributed algorithms that allow users to solve problems faster and on a larger scale than ever before.\u0022\u003C\/p\u003E\u003Cp\u003EAlso participating from the School of Computational Science and Engineering is Alex Gray, an associate professor who has developed open-source software tools to make machine-learning algorithms scalable to large datasets. Other faculty members involved in the XDATA work include professor Hongyuan Zha and associate professor Guy Lebanon.\u003C\/p\u003E\u003Cp\u003EInvestigators from the Georgia Tech Research Institute (GTRI) will also contribute to the XDATA initiative. Senior research scientists Barry Drake and Richard Boyd will tackle the computational demands of processing the machine-learning algorithms developed by the School of Computational Science and Engineering team.\u003C\/p\u003E\u003Cp\u003EGTRI\u0027s task involves enabling these algorithms to run on a networked distributed computing system. By configuring the software so that it operates on multiple processors simultaneously, the researchers believe they can ensure that the algorithms solve problems very rapidly \u2013 a requirement of the DARPA award.\u003C\/p\u003E\u003Cp\u003E\u0022Scaling up machine-learning algorithms to big-data requirements is a relatively new area of research, and there will be both hardware and software issues to address here,\u0022 said Drake, a specialist in parallel algorithms in numerous application domains. \u0022In enabling these complex codes to analyze large data sets rapidly, we expect to be breaking new ground.\u0022\u003C\/p\u003E\u003Cp\u003EBoyd will support XDATA\u0027s hardware requirements with expertise on low-cost graphics processing units (GPUs), which offer performance levels reached only by supercomputers until recently. Clusters of linked GPUs could help provide the processing power needed to satisfy XDATA requirements.\u003C\/p\u003E\u003Cp\u003E\u0022The XDATA vision involves providing an entirely new set of open-source data-processing tools for both military and other requirements,\u0022 Boyd said. \u0022We have to be prepared to deal with not only widely distributed computing, but also with heterogeneous data that could be structured or unstructured. Diverse hardware approaches including GPUs are likely to be part of the system.\u0022\u003C\/p\u003E\u003Cp\u003EFor more information on DARPA and the XDATA program, visit \u003Ca href=\u0022http:\/\/www.darpa.mil\u0022 title=\u0022www.darpa.mil\u0022\u003Ewww.darpa.mil\u003C\/a\u003E. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EResearch News \u0026amp; Publications Office\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003EGeorgia Institute of Technology\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003E177 North Avenue\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cstrong\u003EAtlanta, Georgia\u0026nbsp; 30332-0181\u003C\/strong\u003E\u003Cbr \/\u003E\u003Cbr \/\u003E\u003Cstrong\u003EMedia Relations Contacts\u003C\/strong\u003E: John Toon (404-894-6986)(\u003Ca href=\u0022mailto:jtoon@gatech.edu\u0022\u003Ejtoon@gatech.edu\u003C\/a\u003E), Joshua Preston (404-385-3845)(\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E) or Lance Wallace (404-407-7280)(\u003Ca href=\u0022mailto:lance.wallace@gtri.gatech.edu\u0022\u003Elance.wallace@gtri.gatech.edu\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EWriter\u003C\/strong\u003E: Rick Robinson\u003Cbr \/\u003E\u003Cbr \/\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA research team at the Georgia Institute of Technology has received a $2.7 million award from the Defense Advanced Research Projects Agency (DARPA) to develop technology intended to help address the challenges of \u0022big data\u0022 \u2013 data sets that are both massive and complex.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech has received $2.7 million to develop technology to address the challenges of \u0022big data.\u0022"}],"uid":"27303","created_gmt":"2012-11-29 12:08:15","changed_gmt":"2016-10-08 03:13:18","author":"John Toon","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2012-11-29T00:00:00-05:00","iso_date":"2012-11-29T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"174111":{"id":"174111","type":"image","title":"XDATA - Richard Fujimoto","body":null,"created":"1449179012","gmt_created":"2015-12-03 21:43:32","changed":"1475894816","gmt_changed":"2016-10-08 02:46:56","alt":"XDATA - Richard Fujimoto","file":{"fid":"195807","name":"fujimoto2.jpg","image_path":"\/sites\/default\/files\/images\/fujimoto2_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/fujimoto2_0.jpg","mime":"image\/jpeg","size":1221022,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fujimoto2_0.jpg?itok=9hJhlHsl"}},"174121":{"id":"174121","type":"image","title":"XDATA - Haesun Park","body":null,"created":"1449179012","gmt_created":"2015-12-03 21:43:32","changed":"1475894816","gmt_changed":"2016-10-08 02:46:56","alt":"XDATA - Haesun Park","file":{"fid":"195808","name":"park1.jpg","image_path":"\/sites\/default\/files\/images\/park1_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/park1_0.jpg","mime":"image\/jpeg","size":1418626,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/park1_0.jpg?itok=zkubNqFA"}}},"media_ids":["174111","174121"],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"15092","name":"big data"},{"id":"654","name":"College of Computing"},{"id":"208","name":"computing"},{"id":"690","name":"darpa"},{"id":"33301","name":"data analytics"},{"id":"51811","name":"distributed computing"},{"id":"416","name":"GTRI"},{"id":"9167","name":"machine learning"},{"id":"5155","name":"open source"},{"id":"25461","name":"Richard Fujimoto"},{"id":"51791","name":"XDATA"}],"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\u003EJohn Toon\u003C\/p\u003E\u003Cp\u003EResearch News \u0026amp; Publications Office\u003C\/p\u003E\u003Cp\u003E(404) 894-6986\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jtoon@gatech.edu\u0022\u003Ejtoon@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["jtoon@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"269291":{"#nid":"269291","#data":{"type":"external_news","title":"Opening Up the Accelerator Advantage","body":"","field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2014-01-21 04:10:45","changed_gmt":"2016-10-08 02:26:56","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"Brett Aiello","field_article_url":"","publication_url":"http:\/\/www.hpcwire.com\/2013\/11\/26\/opening-accelerator-advantage\/","dateline":{"date":"2012-11-26T00:00:00-05:00","iso_date":"2012-11-26T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"84371","name":"David Bader; XScala; Supercomputing; Graph500; Sandia National Laboratories; high-performance computing"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"160981":{"#nid":"160981","#data":{"type":"external_news","title":"Students Named 2012 Intel PhD Fellowship Winners","body":[{"value":"\u003Cp\u003EIntel recently announced that Vishal Gupta, a PhD student of Karsten Schwan (\u003Cem\u003EComp Sci\u003C\/em\u003E), and Aparna Chandramowlishwaran, a PhD student of Rich Vuduc (\u003Cem\u003EComp Sci \u0026amp; Engineering\u003C\/em\u003E), are recipients of 2012 Intel Fellowships.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27556","created_gmt":"2012-10-10 11:09:07","changed_gmt":"2016-10-08 02:25:57","author":"Michaelanne Dye","boilerplate_text":"","field_publication":"","publication":"Sustainability Fair","field_article_url":"","publication_url":"https:\/\/www-ssl.intel.com\/content\/www\/us\/en\/education\/university\/intel-2012-phd-fellowship-winners.html","dateline":{"date":"2012-10-03T00:00:00-04:00","iso_date":"2012-10-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"},{"id":"47223","name":"College of Computing"},{"id":"50875","name":"School of Computer Science"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"8862","name":"Student Research"}],"keywords":[{"id":"27581","name":"2012"},{"id":"101","name":"Award"},{"id":"368","name":"Fellowship"},{"id":"4767","name":"Intel"},{"id":"30141","name":"Karsten Schwan"},{"id":"913","name":"PhD"},{"id":"46001","name":"Rich Vuduc"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"152771":{"#nid":"152771","#data":{"type":"external_news","title":"Data Analysts Seek to Make Social Media More Useful","body":[{"value":"\u003Cp\u003EStinger (Spatio-Temporal Interaction Networks and Graphs Extensible Representation) is a graph-processing engine that project lead David Bader (\u003Cem\u003EComp Sci \u0026amp; Eng) \u003C\/em\u003Esays is bigger, faster, and more flexible than anything currently in use for analyzing social media connections. \u003Cem\u003ESource: Businessweek\u003C\/em\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27556","created_gmt":"2012-09-10 10:47:14","changed_gmt":"2016-10-08 02:25:57","author":"Michaelanne Dye","boilerplate_text":"","field_publication":"","field_article_url":"","publication_url":"http:\/\/buswk.co\/QC7Pnz","dateline":{"date":"2012-09-09T00:00:00-04:00","iso_date":"2012-09-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"}],"keywords":[{"id":"43071","name":"David Bader; David A. Bader; Stinger; Betweenness Centrality; Algorithms; Graph-Processing Engine; Social Media"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"137911":{"#nid":"137911","#data":{"type":"external_news","title":"How Many Computers to Identify a Cat? 16,000","body":[{"value":"\u003Cp class=\u0022p1\u0022\u003EInside Google\u0027s secretive X laboratory, known for inventing self-driving cars and augmented reality glasses, a small group of researchers began working several years ago on a simulation of the human brain. David Bader (Computational Science and Engineering) says the research pushes the envelope on the size and scale of neural networks by an order of magnitude over previous efforts.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2012-06-26 11:22:58","changed_gmt":"2016-10-08 02:25:32","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"Would never be part of any organization that would have me as a member","field_article_url":"","publication_url":"http:\/\/www.nytimes.com\/2012\/06\/26\/technology\/in-a-big-network-of-computers-evidence-of-machine-learning.html?pagewanted=all","dateline":{"date":"2012-06-25T00:00:00-04:00","iso_date":"2012-06-25T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"136871":{"#nid":"136871","#data":{"type":"news","title":"Georgia Tech Recognized as Charter Member of New HPC500 Group at ISC \u201912","body":[{"value":"\u003Cp\u003EGeorgia Institute of Technology was recognized as one the 50 charter members of the HPC500, an exclusive community of High-Performance Computing user organizations at the vanguard of their areas of specialization, during the International Supercomputing conference, ISC\u002712, in Hamburg, Germany, June 17-21.\u003C\/p\u003E\u003Cp\u003EResearch in computational science and engineering at Georgia Tech spans many areas ranging from the development of new computational methods that may be applied to one or more fields in science and engineering to novel computational approaches specific to a particular domain such as biology or aerospace engineering.\u003C\/p\u003E\u003Cp\u003EBecause Georgia Tech views computation as the driver of future advances in science and engineering, the School of Computational Science and Engineering was created to be a truly interdisciplinary unit that crosses the conventional academic boundaries found between research disciplines. Faculty from all walks of computing, sciences, and engineering collaborate within six core areas: High-Performance Computing; Data Analytics, Machine Learning and Visualization; Modeling and Simulation; Computational Mathematics; Computational Science; and Computational Engineering.\u003C\/p\u003E\u003Cp\u003EThe HPC500 is comprised of a representative cross-section of academic, government, and commercial organizations across all budgets, applications, and geographic areas, including users in both High Performance Technical Computing (HPTC) and High Performance Business Computing (HPBC). The charter members are listed at the HPC500 Website (\u003Ca title=\u0022http:\/\/www.hpc500.com\/member-directory\/\u0022 href=\u0022http:\/\/www.hpc500.com\/member-directory\/\u0022\u003Ehttp:\/\/www.hpc500.com\/member-directory\/\u003C\/a\u003E).\u003C\/p\u003E\u003Cp\u003EOf the first fifty members:\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003E20 are commerical organizations (13 with HPTC application, 7 HPBC), 19 are academic or non-for-profit, and 11 are government organizations.\u003C\/li\u003E\u003Cli\u003E25 are based in the U.S. or Canada; 14 are based in Europe, Middle East, or Africa (EMEA); nine are based in Asia Pacific (including Japan, Australia, and New Zealand); and two are based in Latin America (including Mexico).\u003C\/li\u003E\u003Cli\u003ENine have supercomputing budgets of over $5.0 million per year; 15 have high-end HPC budgets of $1.0 million to $4.9 million per year; 15 have mid-range HPC budgets of $100,000 to $999,999 per year, and 11 have entry-level HPC budgets under $100,000 per year.\u003C\/li\u003E\u003C\/ul\u003E\u003Cp\u003EFor more information about High Performance Computing at Georgia Tech, please contact David A. Bader, professor in the School of Computational Science and Engineering and executive director of High Performance Computing, at\u0026nbsp;404-894-5756.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Institute of Technology was recognized as one the 50 charter members of the HPC500, an exclusive community of High-Performance Computing user organizations at the vanguard of their areas of specialization, during the International Supercomputing conference, ISC\u002712, in Hamburg, Germany, June 17-21.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27592","created_gmt":"2012-06-20 15:27:06","changed_gmt":"2016-10-08 03:12:26","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2012-06-20T00:00:00-04:00","iso_date":"2012-06-20T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosh Preston\u003C\/p\u003E\u003Cp\u003E678.231.0787\u003C\/p\u003E","format":"limited_html"}],"email":["jpreston@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"129751":{"#nid":"129751","#data":{"type":"news","title":"Georgia Tech Researchers Awarded Best Paper at SIAM International Conference on Data Mining","body":[{"value":"\u003Cp class=\u0022p1\u0022\u003EGeorgia Institute of Technology researchers Dongryeol Lee, Alexander G. Gray and Richard Vuduc, from the College of Computing, were awarded Best Paper at the SIAM International Conference on Data Mining April 26 for their paper \u201cA Distributed Kernel Summation Framework for General-Dimension Machine Learning.\u201d\u0026nbsp;\u003C\/p\u003E\u003Cp class=\u0022p2\u0022\u003EKernel summations are a ubiquitous key computational bottleneck in many data analysis methods. The paper proposes a hybrid MPI\/OpenMP kernel summation framework for scaling many popular data analysis methods. Advantages to the approach include utilizing the platform-independent C++ code base that utilizes standard protocols such as MPI and OpenMP; using the template code structure that uses any multidimensional binary trees and any approximation schemes that may be suitable for high-dimensional problems; and having extendibility to a large class of problems that require fast evaluations of kernel sums.\u003C\/p\u003E\u003Cp class=\u0022p2\u0022\u003E\u201cResearchers have previously parallelized kernel summations in the context of simulations,\u201d says Dongryeol Lee, a Ph.D. candidate in Computer Science. \u201cBut this paper is the first serious effort in parallelizing kernel summations in the context of data mining with potentially high-profile scientific applications.\u201d\u003C\/p\u003E\u003Cp class=\u0022p2\u0022\u003EIn data mining, kernel summations appear in popular so-called kernel methods which can model complex, nonlinear structures in data. The richer expressiveness of the methods comes with the drawback of requiring many data points and hence more computational power for crunching collected data, according to Lee. The collected data in some cases must be stored on multiple machines.\u003C\/p\u003E\u003Cp class=\u0022p4\u0022\u003EFrom the data mining community, Lee says this work is the first to utilize algorithmic techniques in both high performance computing, computer\u0026nbsp;science, computational physics, computational geometry, and approximation theory in a general framework.\u003C\/p\u003E\u003Cp class=\u0022p4\u0022\u003EKernel summations drive algorithms in application areas such as finance, astronomy, and medical science.\u0026nbsp;\u003C\/p\u003E\u003Cp class=\u0022p4\u0022\u003ELee notes some examples: \u201cFraudulent financial transactions can be detected more quickly using fast kernel summations. Astronomy uses the algorithms to predict redshift of many galaxies and stars, which can shed light onto the ultimate fate of the universe. Medicine uses fast kernel summation algorithms in automated early detection of cancer that can save human lives.\u0022\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Institute of Technology researchers Dongryeol Lee, Alexander G. Gray and Richard Vuduc, from the College of Computing, were awarded Best Paper at the SIAM International Conference on Data Mining April 26 for their paper \u201cA Distributed Kernel Summation Framework for General-Dimension Machine Learning.\u201d\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27592","created_gmt":"2012-05-10 15:21:00","changed_gmt":"2016-10-08 03:12:13","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2012-05-10T00:00:00-04:00","iso_date":"2012-05-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[{"id":"33291","name":"data analysis"},{"id":"33301","name":"data analytics"},{"id":"9168","name":"data mining"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJoshua Preston\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E678-231-0787\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"email":["jpreston@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"115701":{"#nid":"115701","#data":{"type":"external_news","title":"Listen to last year\u0027s Japanese earthquake","body":[{"value":"\u003Cp\u003EVisual measurements of the 2011 earthquake were placed alongside audible ones by\u0026nbsp;Zhigang Peng (Earth and Atmospheric Sciences) and he advanced the audio frequency so that it could be\nrecorded and registered by humans. Source: 11 Alive\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2012-03-09 11:40:59","changed_gmt":"2016-10-08 02:25:29","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"Aaron Stebner","field_article_url":"","publication_url":"http:\/\/www.11alive.com\/news\/local\/story.aspx?storyid=231763","dateline":{"date":"2012-03-08T00:00:00-05:00","iso_date":"2012-03-08T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"115681":{"#nid":"115681","#data":{"type":"external_news","title":"Listen to the Japanese Earthquake","body":[{"value":"\u003Cp\u003EZhigang Peng (Earth and Atmospheric Sciences) has\ntaken the seismic waves from last year\u0027s massive Japan earthquake and converted\nthem into audio waves allowing people to \u0022hear\u0022 what the 9.0-magnitude\nearthquake sounded like as it moved through the earth and around the globe on\nMarch 11, 2011. Source: LiveScience.com\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2012-03-09 11:33:10","changed_gmt":"2016-10-08 02:25:29","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"climate research","field_article_url":"","publication_url":"http:\/\/news.yahoo.com\/listen-japan-earthquake-203401666.html","dateline":{"date":"2012-03-07T00:00:00-05:00","iso_date":"2012-03-07T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"113051":{"#nid":"113051","#data":{"type":"news","title":"National Modeling and Simulation Coalition Holds Inaugural Congress","body":[{"value":"\u003Cp\u003EThe National Modeling and Simulation Coalition (NMSC) held its Inaugural Congress on Feb. 6 in Washington D.C. signaling the first nationwide meeting of the organization, which spans the entire modeling and simulation industry.\u003C\/p\u003E\u003Cp\u003EThe NMSC focused on establishing, for the first time, a national agenda for maintaining the growth of modeling and simulation technology and its incorporation into all areas of the national economy, welfare, and security.\u003C\/p\u003E\u003Cp\u003ERichard Fujimoto, chair of the School of Computational Science and Engineering and interim director of the Institute for Data and High Performance Computing at the Georgia Institute of Technology, is a member of the interim Board of Directors and interim chair of the Education and Professional Development Standing Committee, one of five standing committees of the National Modeling and Simulation Coalition. He chaired the inaugural meeting for this committee at the Feb. 6 event.\u003C\/p\u003E\u003Cp\u003E\u201cA critical issue that the committee is starting to address is how to increase the number of people trained and educated in modeling and simulation in order to meet the high workforce demand,\u201d Fujimoto said. \u201cWe are developing a national agenda that will focus in part on this issue.\u201d\u003C\/p\u003E\u003Cp\u003EThe committee\u2019s work will span the entire education pipeline, including K-12, higher education, technical education and continuing education.\u003C\/p\u003E\u003Cp\u003EWithin the School of Computational Science and Engineering at Georgia Tech, the approach is to develop education programs in computing for students \u2013 who are studying engineering, the sciences and other areas - that build up their computing capability, said Fujimoto.\u003C\/p\u003E\u003Cp\u003E\u201cWe really must be focused on developing workforce needs,\u201d the CSE chair said.\u003C\/p\u003E\u003Cp\u003EAt the event in Washington, D.C., Aneesh Chopra, chief technology officer for the United States, gave the keynote address after a ceremonial ribbon cutting for the NMSC.\u003C\/p\u003E\u003Cp\u003EThe event featured several hundred key leaders from industry, government, and academia. Also attending from Georgia Tech was Margaret Loper, a chief scientist in the Georgia Tech Research Institute.\u003C\/p\u003E\u003Cp\u003EParticipants set the stage for the initial organizational and committee sessions and to define a detailed action plan in four key areas: Education and Professional Development, Technology Research and Development, Industrial Development, and Business Practice. The outcome of the inaugural meeting included a national action plan to broaden the use of modeling and simulation across these four key areas. This action plan will provide a road map for the modeling and simulation community and in expanding the depth and breadth of the technology and industry.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Richard Fujimoto on Interim Board of Directors"}],"field_summary":[{"value":"\u003Cp\u003EThe National Modeling and Simulation Coalition held its Inaugural Congress on Feb. 6 in Washington D.C. Richard Fujimoto (\u003Cem\u003ECompSci \u0026amp; Eng\u003C\/em\u003E) is on the interim Board of Directors and interim chair of the Education and Professional Development Committee. \u003Cem\u003ESource: GT IDH\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The National Modeling and Simulation Coalition held its Inaugural Congress on Feb. 6 in Washington D.C. Richard Fujimoto (Computational Science \u0026 Engineering) is on the interim Board of Directors"}],"uid":"27592","created_gmt":"2012-02-28 14:34:51","changed_gmt":"2016-10-08 03:11:44","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2012-02-27T00:00:00-05:00","iso_date":"2012-02-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"113131":{"id":"113131","type":"image","title":"Richard Fujimoto","body":null,"created":"1449178226","gmt_created":"2015-12-03 21:30:26","changed":"1475894731","gmt_changed":"2016-10-08 02:45:31","alt":"Richard Fujimoto","file":{"fid":"194173","name":"fujimoto-headshot-web-04.jpg","image_path":"\/sites\/default\/files\/images\/fujimoto-headshot-web-04_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/fujimoto-headshot-web-04_0.jpg","mime":"image\/jpeg","size":99581,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fujimoto-headshot-web-04_0.jpg?itok=5rRG06jv"}}},"media_ids":["113131"],"related_links":[{"url":"http:\/\/www.cse.gatech.edu\/","title":"School of Computational Science and Engineering"},{"url":"http:\/\/www.idh.gatech.edu\/","title":"Institute for Data and HPC"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[{"id":"14787","name":"computer modeling"},{"id":"579","name":"modeling and simulation"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosh Preston\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E404-385-3845\u003C\/p\u003E","format":"limited_html"}],"email":["jpreston@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"215281":{"#nid":"215281","#data":{"type":"external_news","title":"Understanding the Human Condition with Big Data","body":[{"value":"\u003Cp\u003EIn this guest feature from Scientific Computing World, Georgia Institute of Technology\u2019s David A. Bader discusses his upcoming ISC\u201913 session, Better Understanding Brains, Genomes \u0026amp; Life Using HPC Systems. \u003Cem\u003ESource: Inside HPC\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27556","created_gmt":"2013-05-29 10:10:07","changed_gmt":"2016-10-08 02:26:29","author":"Michaelanne Dye","boilerplate_text":"","field_publication":"","publication":"GRA Program","field_article_url":"","publication_url":"http:\/\/insidehpc.com\/2013\/05\/28\/understanding-the-human-condition-with-big-data-and-hpc\/","dateline":{"date":"2013-05-29T00:00:00-04:00","iso_date":"2013-05-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"146","name":"Life Sciences and Biology"}],"keywords":[{"id":"67121","name":"David Bader; Big Data; HPC; biology; brain; life sciences; technology; supercomputing; high performance computing; hpc"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"112461":{"#nid":"112461","#data":{"type":"external_news","title":"Skytree intros machine learning for the masses","body":[{"value":"\u003Cp\u003ESkytree Co-Founder and CTO Alexander Gray (Computational\nScience and Engineering) says his company\u2019s Skytree Server is incorporating\nmassively scalable machine learning, a technique enabling systems to get smarter\nthe more data they ingest. Whereas most machine-learning projects today\nfocus on a single task, the Skytree server provides a toolbox that can do many\nthings. \u003Ca href=\u0022http:\/\/gigaom.com\/cloud\/skytree-intros-machine-learning-for-the-masses\/\u0022\u003ESource: Gigaom\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/gigaom.com\/cloud\/skytree-intros-machine-learning-for-the-masses\/\u0022\u003ERead More\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2012-02-27 10:26:04","changed_gmt":"2016-10-08 02:25:26","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"foreign language learning","field_article_url":"","publication_url":"http:\/\/gigaom.com\/cloud\/skytree-intros-machine-learning-for-the-masses\/","dateline":{"date":"2012-02-23T00:00:00-05:00","iso_date":"2012-02-23T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[{"id":"15092","name":"big data"},{"id":"9167","name":"machine learning"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"217371":{"#nid":"217371","#data":{"type":"external_news","title":"CDC harnesses technology to protect people and save lives","body":[{"value":"\u003Cp\u003EThe Centers for Disease Control and Prevention is collaborating with the Georgia Institute of Technology, Oakridge National Laboratory and the NVIDIA Center of Excellence to leverage supercomputers and 3D printing to speed the discovery processes related to preventing 20 million hepatitis E infections each year.\u003C\/p\u003E\u003Cp\u003ESource: \u003Ca href=\u0022http:\/\/thehill.com\/blogs\/congress-blog\/healthcare\/304241-cdc-harnesses-technology-to-protect-people-and-save-lives\u0022 target=\u0022_blank\u0022\u003EThe Hill\u0027s Congress Blog\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cbr \/\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2013-06-12 10:57:10","changed_gmt":"2016-10-08 02:26:29","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"The Hill\u0027s Congress Blog","field_article_url":"","publication_url":"http:\/\/thehill.com\/blogs\/congress-blog\/healthcare\/304241-cdc-harnesses-technology-to-protect-people-and-save-lives","dateline":{"date":"2013-06-11T00:00:00-04:00","iso_date":"2013-06-11T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"226211":{"#nid":"226211","#data":{"type":"external_news","title":"Keeneland Project Helps Researchers Analyze Cancer Tumors","body":[{"value":"\u003Cp\u003EResearchers at Emory University and Georgia Tech are reporting a significant improvement in their ability to analyze and understand changes of cancer tumors over time thanks to HPC work done on a Keeneland Project supercomputer, a system directed by Jeff Vetter, professor in the Georgia Tech School of Computational Science and Engineering. Analysis of high resolution cancer tumor images that used to take weeks can now be completed in a matter of minutes on the hybrid GPU-CPU system.\u003C\/p\u003E\u003Cp\u003ESource: \u003Ca href=\u0022http:\/\/www.hpcwire.com\/hpcwire\/2013-07-29\/keeneland_project_helps_researchers_analyze_cancer_tumors.html\u0022 target=\u0022_blank\u0022\u003EHPCWire\u003C\/a\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2013-08-02 10:02:47","changed_gmt":"2016-10-08 02:26:35","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"Brett Aiello","field_article_url":"","publication_url":"http:\/\/www.hpcwire.com\/hpcwire\/2013-07-29\/keeneland_project_helps_researchers_analyze_cancer_tumors.html","dateline":{"date":"2013-07-29T00:00:00-04:00","iso_date":"2013-07-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"243281":{"#nid":"243281","#data":{"type":"news","title":"Georgia Tech Exploits Big Data to Accelerate Materials Design, Manufacture","body":[{"value":"\u003Cp\u003EGeorgia Tech has been awarded $2.8 million from the National Science Foundation to start a program that will train a new type of data scientist capable of creating advanced materials and bringing them to market at a fraction of the time it now takes, typically 15 to 20 years.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech will develop technologies to accelerate the design and manufacture of high performance materials for applications - ranging from fuel-efficient vehicles to emerging technologies such as 3D printing \u2013 through the new graduate training program.\u003C\/p\u003E\u003Cp\u003E\u201cThe goal of this program is to employ advances in \u2018big data\u2019 and information technology to significantly reduce the timelines now required for new materials to be created and incorporated into commercial products,\u201d said School of Computational Science and Engineering Chair and Regents\u2019 Professor Richard Fujimoto, the principal investigator for the grant.\u003C\/p\u003E\u003Cp\u003E\u201cThe program will be transformational in bringing \u2018big data\u2019 researchers together with materials scientists, engineers, and mathematicians to quantify the microstructures that comprise materials and develop new algorithms and software for their design,\u201d said Fujimoto, who leads Georgia Tech\u2019s Institute for Data and High Performance Computing (IDH).\u003C\/p\u003E\u003Cp\u003EThe new Georgia Tech program includes a focus on entrepreneurship to enable graduate trainees to transform technical innovations into commercial products and services. Called FLAMEL - From Learning, Analytics, and Materials to Entrepreneurship and Leadership, the program references 15\u003Csup\u003Eth\u003C\/sup\u003E-century alchemist Nicolas Flamel, known as the creator of the philosopher\u2019s stone, a substance purported to transform materials into gold.\u003C\/p\u003E\u003Cp\u003E\u201cWe hope to boost the United States\u2019 competitiveness in an evolving global marketplace by enabling our engineers and scientists to explore the potential commercialization of their ideas and inventions,\u201d\u0026nbsp;says Terry Blum, a co-investigator of the program and the founding director of Georgia Tech\u2019s Institute for Leadership and Entrepreneurship.\u003C\/p\u003E\u003Cp\u003EFLAMEL is aligned with the federal Materials Genome Initiative, focused on cutting the development time for advanced materials in half and reducing their costs. FLAMEL will leverage Georgia Tech\u2019s recent investment in MatIN, a cyberinfrastructure platform designed to enable rapid interdisciplinary collaboration in materials development and manufacture. MatIN is being currently developed as a joint collaboration between Georgia Tech\u2019s Institute for Materials (IMat), Institute for Data and High Performance Computing (IDH), Office of Information Technology (OIT), and Georgia Tech Research Institute (GTRI).\u003C\/p\u003E\u003Cp\u003ECentral to the program will be an emerging area known as materials informatics, which aims to develop new approaches to materials design and manufacturing using data analytics combined with modeling and simulation, according to Surya Kalidindi, program co-deputy director, and member of the IMat Innovation support team.\u003C\/p\u003E\u003Cp\u003EOther members of the Georgia Tech team include co-investigator Wendy Newstetter, a learning scientist and leader in the development and use of problem-based learning methods; and co-deputy director Hongyuan Zha, an expert in \u201cbig data\u201d algorithms and software.\u003C\/p\u003E\u003Cp\u003EWhile the emphasis will be on doctoral students, the program is designed to create a pipeline for workforce development that includes a broadened participation of women and minority students. The five-year program will provide funding for 24 doctoral trainees but is expected to create educational opportunities that will impact hundreds of Georgia Tech students in the years ahead.\u003C\/p\u003E\u003Cp\u003EFor application materials or more information about the FLAMEL program, visit flamel.gatech.edu or contact program coordinator Holly Rush at \u003Ca href=\u0022mailto:holly@cc.gatech.edu\u0022\u003Eholly@cc.gatech.edu\u003C\/a\u003E.\u003C\/p\u003E\u003Cp\u003EThe computationally focused training grant is funded through NSF\u2019s Graduate Education and Research Traineeship (IGERT) program, award number DGE-1258425. Any opinions or conclusions expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Georgia Tech has been awarded $2.8 million from the National Science Foundation to start a program that will train a new type of data scientist capable of creating advanced materials and bringing them to market at a fraction of the time it now takes."}],"uid":"27592","created_gmt":"2013-10-08 09:28:27","changed_gmt":"2016-10-08 03:14:53","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-10-08T00:00:00-04:00","iso_date":"2013-10-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"113131":{"id":"113131","type":"image","title":"Richard Fujimoto","body":null,"created":"1449178226","gmt_created":"2015-12-03 21:30:26","changed":"1475894731","gmt_changed":"2016-10-08 02:45:31","alt":"Richard Fujimoto","file":{"fid":"194173","name":"fujimoto-headshot-web-04.jpg","image_path":"\/sites\/default\/files\/images\/fujimoto-headshot-web-04_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/fujimoto-headshot-web-04_0.jpg","mime":"image\/jpeg","size":99581,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/fujimoto-headshot-web-04_0.jpg?itok=5rRG06jv"}}},"media_ids":["113131"],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"139","name":"Business"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"15092","name":"big data"},{"id":"11561","name":"IDH"},{"id":"1692","name":"materials"},{"id":"25461","name":"Richard Fujimoto"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39471","name":"Materials"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJoshua Preston\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jpreston@cc.gatech.edu\u0022\u003Ejpreston@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["jpreston@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"244581":{"#nid":"244581","#data":{"type":"external_news","title":"Georgia Tech Brings Big Data to Materials Design","body":[{"value":"\u003Cp\u003EThrough the new FLAMEL program, Georgia Tech will work with the federal Materials Genome Initiative to reduce the 15-20 years currently required for the design and manufacture of high performance materials for fuel efficient vehicles and 3D printing.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2013-10-11 10:09:20","changed_gmt":"2016-10-08 02:26:43","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"industrial policy","field_article_url":"","publication_url":"http:\/\/www.enterprisetech.com\/2013\/10\/10\/georgia-tech-brings-big-data-materials-design\/","dateline":{"date":"2013-10-10T00:00:00-04:00","iso_date":"2013-10-10T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[{"id":"15092","name":"big data"},{"id":"76181","name":"FLAMEL"},{"id":"10506","name":"IGERT"},{"id":"25461","name":"Richard Fujimoto"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"246771":{"#nid":"246771","#data":{"type":"external_news","title":"Podcast: FLAMEL Program at Georgia Tech Brings Big Data to Material Science","body":[{"value":"\u003Cp\u003EIn this podcast, Richard Fujimoto and Surya Kalidindi from Georgia Tech describe the new\u0026nbsp;\u003Ca href=\u0022http:\/\/flamel.gatech.edu\/\u0022\u003EFLAMEL\u003C\/a\u003E\u0026nbsp;doctoral student training program. FLAMEL is designed to develop innovations in computing, mathematics, material science and manufacturing in order to accelerate the creation of new high performance materials for applications.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2013-10-17 12:39:35","changed_gmt":"2016-10-08 02:26:45","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"sports and society","field_article_url":"","publication_url":"http:\/\/insidehpc.com\/2013\/10\/15\/podcast-flamel-program-georgia-tech-brings-big-data-material-science\/","dateline":{"date":"2013-10-15T00:00:00-04:00","iso_date":"2013-10-15T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"42911","name":"Education"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"8862","name":"Student Research"},{"id":"135","name":"Research"}],"keywords":[{"id":"15092","name":"big data"},{"id":"76181","name":"FLAMEL"},{"id":"77301","name":"NSF IGERT"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"246521":{"#nid":"246521","#data":{"type":"external_news","title":"Georgia Tech Will Train Young Scientists to Use Data to Build Space-age Materials","body":[{"value":"\u003Cp\u003ERichard Fujimoto discusses FLAMEL,\u0026nbsp;Georgia Tech\u0027s newest NSF IGERT program that\u0026nbsp;trains a new type of data scientist capable of creating advanced materials and bringing them to market at a much faster pace than usual, utilizing analytics to get the job done.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2013-10-17 07:47:48","changed_gmt":"2016-10-08 02:26:45","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"implicit bias workshop 2022 diversity training","field_article_url":"","publication_url":"http:\/\/www.citeworld.com\/cloud\/22561\/georgia-tech-big-data-new-materials","dateline":{"date":"2013-10-16T00:00:00-04:00","iso_date":"2013-10-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"42911","name":"Education"},{"id":"134","name":"Student and Faculty"},{"id":"135","name":"Research"}],"keywords":[{"id":"15092","name":"big data"},{"id":"76181","name":"FLAMEL"},{"id":"11561","name":"IDH"},{"id":"10506","name":"IGERT"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"249561":{"#nid":"249561","#data":{"type":"news","title":"Bader\u2019s Love for Teaching Goes Way Back","body":[{"value":"\u003Cp\u003EIt\u2019s around 9:30 a.m. on a Thursday, and David Bader is explaining how trick-or-treating is connected to graph theory.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cFor example, we get together with our friends to figure out which houses to go to for optimal candy rewards \u2014 and optimization is one component of graph theory,\u201d said Bader, professor in the College of Computing and executive director for High Performance Computing. \u201cAnd when you get home, you sort your candy \u2014 yet another concept. We should consider October graph theory month.\u201d \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EWelcome to Bader\u2019s Computational Science and Engineering Algorithms class \u2014 and his approach to teaching. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWhen I prepare for class, I think about the story I\u2019m going to tell and try to incorporate current events and real-world cases into the curriculum,\u201d he said.\u003C\/p\u003E\u003Cp\u003EBut these skills didn\u2019t develop overnight.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EFrom Techie Toddler to Full Prof\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIt began in 1972, when Bader started playing around on a mainframe computer at the college where his dad worked. He was 3.\u003C\/p\u003E\u003Cp\u003E\u201cThen, when I was in elementary school in the late 1970s, I began holding computer retraining classes for the parents of my friends and neighbors who were being laid off from a nearby steel plant and were looking for a new profession,\u201d he added. \u201cThings just seemed to evolve from there.\u201d\u003C\/p\u003E\u003Cp\u003EAfter spending time at the University of Maryland as a National Science Foundation postdoctoral research associate, Bader began working his way through the professorial ranks at the University of New Mexico in the late 1990s. He was recruited to Georgia Tech in 2005 to launch the School of Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003EBader\u2019s research aims to solve real-world problems by using computational and data-intensive solutions.\u003C\/p\u003E\u003Cp\u003EFor example, Bader might use massive data sets to help him figure out how to keep people safer during severe weather or how to design more personalized medications.\u003C\/p\u003E\u003Cp\u003E\u201cI love that my job is fun,\u201d he said. \u201cI can\u2019t believe I get paid to collaborate with the most amazing students and colleagues, and solve grand challenge problems that have a lasting impact on society.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EThe Man Behind the Monitor\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EWhen Bader isn\u2019t conducting research or teaching, you might find him enjoying one of his favorite spots on campus, the Klaus Advanced Computing Building.\u003C\/p\u003E\u003Cp\u003E\u201cIt\u2019s just a beautiful facility that inspires me to make contributions to computing and to think about the impact of my research on society,\u201d he added.\u003C\/p\u003E\u003Cp\u003EOr you might catch this vegan enjoying the various dining spots around campus to try their takes on international cuisines ranging from African to Asian.\u003C\/p\u003E\u003Cp\u003EAnd one last fun fact about this computing wiz \u2014 he also has a strong interest in genomics (simply put, the study of genes and their functions).\u003C\/p\u003E\u003Cp\u003E\u201cMany people might not be aware that I have a twin sister \u2014 who happened to earn her doctorate in genetics,\u201d he said. \u201cMy full mitochondrial genome is even available in GenBank, a database that contains publicly available DNA sequences.\u201d\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EIt\u2019s around 9:30 a.m. on a Thursday, and David Bader is explaining how trick-or-treating is connected to graph theory.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"It\u2019s around 9:30 a.m. on a Thursday, and David Bader is explaining how trick-or-treating is connected to graph theory."}],"uid":"27445","created_gmt":"2013-10-28 15:54:17","changed_gmt":"2016-10-08 03:15:14","author":"Amelia Pavlik","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-10-28T00:00:00-04:00","iso_date":"2013-10-28T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"249551":{"id":"249551","type":"image","title":"David Bader","body":null,"created":"1449243795","gmt_created":"2015-12-04 15:43:15","changed":"1475894929","gmt_changed":"2016-10-08 02:48:49","alt":"David Bader","file":{"fid":"198062","name":"bader.jpg","image_path":"\/sites\/default\/files\/images\/bader_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/bader_0.jpg","mime":"image\/jpeg","size":1504539,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bader_0.jpg?itok=-xa44wz7"}}},"media_ids":["249551"],"groups":[{"id":"1259","name":"Whistle"}],"categories":[{"id":"129","name":"Institute and Campus"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"13255","name":"david bader"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:amelia.pavlik@comm.gatech.edu\u0022\u003EAmelia Pavlik\u003C\/a\u003E\u003Cbr \/\u003EInstitute Communications\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"250661":{"#nid":"250661","#data":{"type":"external_news","title":"Podcast: Big Data Interview with Georgia Tech\u0027s Richard Fujimoto and Surya Kalidindi","body":[{"value":"\u003Cp\u003EGeorgia Tech\u0027s Richard Fujimoto and Surya Kalidindi discuss the new FLAMEL Traineeship Program, as well as big data and materials design initiatives on campus.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2013-11-03 23:28:31","changed_gmt":"2016-10-08 02:26:45","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"copyright law","field_article_url":"","publication_url":"http:\/\/www.materialstoday.com\/listen\/303\/big-data\/","dateline":{"date":"2013-11-01T00:00:00-04:00","iso_date":"2013-11-01T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"135","name":"Research"}],"keywords":[{"id":"15092","name":"big data"},{"id":"76181","name":"FLAMEL"},{"id":"1692","name":"materials"},{"id":"25461","name":"Richard Fujimoto"},{"id":"168983","name":"Surya Kalidindi"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"261041":{"#nid":"261041","#data":{"type":"external_news","title":"Micron Announces Development of New Parallel Processing Architecture","body":[{"value":"\u003Cp\u003EGeorgia Tech\u2019s Srinivas Aluru has been involved in research using Micron\u2019s Automata processor.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2013-12-15 23:20:30","changed_gmt":"2016-10-08 02:26:54","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"central intelligence agency","field_article_url":"","publication_url":"http:\/\/investors.micron.com\/releasedetail.cfm?ReleaseID=807900","dateline":{"date":"2013-11-18T00:00:00-05:00","iso_date":"2013-11-18T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"168985","name":"Srinivas Aluru; Supercomputing; Supercomputers"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"255831":{"#nid":"255831","#data":{"type":"news","title":"Creating an app store for multi-core","body":[{"value":"\u003Cp\u003EUntil now the niche area of supercomputing was available only to those in national research laboratories or leading research universities.\u003C\/p\u003E\u003Cp\u003EThat\u2019s about to change.\u003C\/p\u003E\u003Cp\u003EResearchers at the Georgia Institute of Technology and University of Southern California recently received a nearly $2 million federal grant to develop tools to assist all developers in using hardware accelerators productively and effectively.\u003C\/p\u003E\u003Cp\u003EThe goal of the three-year grant from the National Science Foundation is to bring capability to a general audience, including those using tablets, smartphones and other ubiquitous devices, said David Bader, the lead principal investigator.\u003C\/p\u003E\u003Cp\u003EImagine an elderly woman using her smartphone to understand her health informatics or farmers in developing nations using hardware accelerators to understand weather patterns so they know when to plant crops. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cWe want to take science that used to be only available to elite scientists and bring that to everyone around the planet,\u201d said Bader, a professor in Georgia Tech\u2019s School of Computational Science and Engineering and executive director for High Performance Computing. \u201cWe are bringing supercomputing to the masses.\u201d\u003C\/p\u003E\u003Cp\u003EBader will collaborate with Viktor Prasanna, another principal investigator who is a professor of electrical engineering and professor of computer science at the University of Southern California. Prasanna is executive director of the USC-Infosys Center for Advanced Software Technologies.\u003C\/p\u003E\u003Cp\u003ERich Vuduc, an associate professor in the \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E at Georgia Tech, and Jason Riedy, a research scientist, are co-principal investigators.\u003C\/p\u003E\u003Cp\u003EThe grant focuses on two key areas. The first is to develop XScala, a software framework for developing efficient accelerator kernels. Data-intensive kernels include large dictionary string matching, dynamic programming and graph theory.\u003C\/p\u003E\u003Cp\u003EOver the course of three years researchers will focus on different types of optimizations. They will emphasize power efficiency \u2013 an area with little current research \u2013 and hope to make discoveries that will allow for the development of new types of algorithms for accelerators, Bader said.\u003C\/p\u003E\u003Cp\u003EEarly research efforts will focus on key areas such as security and social network analysis. \u0026nbsp;The impact of this early research will be felt in other areas because the algorithms from these domains can be applied to other science and technology segments that use graph analytics.\u003C\/p\u003E\u003Cp\u003EThe second focus calls for a public software repository and forum, called XBazaar.\u0026nbsp;Similar to the iPhone App Store, XBazaar will serve as a one-stop shop for high-performance algorithms and software for multi-core and many-core processors.\u003C\/p\u003E\u003Cp\u003EThis open source will create a marketplace to develop and share best practices for using accelerators. People will be able to modify code or use ideas from the researchers\u2019 code to develop their own high-performance applications that are cost-effective and power-efficient, Bader said. \u0026nbsp;\u003C\/p\u003E\u003Cp\u003EXBazaar can be used in commercial applications, allowing it to spur economic development and benefit industry.\u003C\/p\u003E\u003Cp\u003E\u201cOur goal is to build something larger than what we can do ourselves,\u201d Bader said.\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"Georgia Tech receives nearly $2 million NSF grant"}],"field_summary":[{"value":"\u003Cp\u003EThe goal of the three-year grant is to bring capability to a general audience, including those using tablets, smartphones and other ubiquitous devices.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Tools will help developers use hardware accelerators productively and effectively."}],"uid":"27918","created_gmt":"2013-11-19 10:06:07","changed_gmt":"2016-10-08 03:15:22","author":"Laura Diamond","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-11-19T00:00:00-05:00","iso_date":"2013-11-19T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"249551":{"id":"249551","type":"image","title":"David Bader","body":null,"created":"1449243795","gmt_created":"2015-12-04 15:43:15","changed":"1475894929","gmt_changed":"2016-10-08 02:48:49","alt":"David Bader","file":{"fid":"198062","name":"bader.jpg","image_path":"\/sites\/default\/files\/images\/bader_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/bader_0.jpg","mime":"image\/jpeg","size":1504539,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bader_0.jpg?itok=-xa44wz7"}}},"media_ids":["249551"],"groups":[{"id":"1183","name":"Home"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"15092","name":"big data"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"167322","name":"supercomputing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ELaura Diamond\u003Cbr \/\u003EGeorgia Tech Media Relations\u003Cbr \/\u003E404-894-6016\u003Cbr \/\u003E\u003Ca href=\u0022mailto:laura.diamond@gatech.edu\u0022\u003Elaura.diamond@gatech.edu\u003C\/a\u003E\u003C\/p\u003E","format":"limited_html"}],"email":["laura.diamond@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"261021":{"#nid":"261021","#data":{"type":"news","title":"Richard Fujimoto Receives ACM SIGSIM Distinguished Contributions Award","body":[{"value":"\u003Cp\u003ERichard Fujimoto was awarded the Association for Computing Machinery (ACM) Special Interest Group on Simulation (SIGSIM) Distinguished Contributions Award for 2013 at the Winter Simulation Conference in Washington, D.C., in early December.\u003C\/p\u003E\u003Cp\u003EThis annual award recognizes one individual based on their overall contributions to the field of modeling and simulation, including technical innovations, publications, leadership, teaching, mentoring, and overall service to the community.\u003C\/p\u003E\u003Cp\u003EFujimoto is a Regents\u0027 Professor in the College of Computing at the Georgia Institute of Technology. He is also the chair of the School of Computational Science and Engineering and the interim director of the Institute for Data \u0026amp; High Performance Computing (IDH).\u003C\/p\u003E\u003Cp\u003EThe ACM Special Interest Group on Simulation and Modeling seeks the advancement of the state-of-the-art in simulation and modeling. Simulation and modeling cut across a broad range of interests. SIGSIM joins each year with a variety of other organizations in co-sponsoring the Winter Simulation Conference, the premier conference in the field, and the Parallel and Distributed Simulation Conference (PADS).\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ERichard Fujimoto was awarded the 2013 Association for Computing Machinery (ACM) Special Interest Group on Simulation (SIGSIM) Distinguished Contributions Award.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":"","uid":"27255","created_gmt":"2013-12-15 23:04:50","changed_gmt":"2016-10-08 03:15:33","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2013-12-10T00:00:00-05:00","iso_date":"2013-12-10T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"261031":{"id":"261031","type":"image","title":"Richard Fujimoto","body":null,"created":"1449243987","gmt_created":"2015-12-04 15:46:27","changed":"1475894945","gmt_changed":"2016-10-08 02:49:05","alt":"Richard Fujimoto","file":{"fid":"198369","name":"richard-fujimoto.jpg","image_path":"\/sites\/default\/files\/images\/richard-fujimoto.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/richard-fujimoto.jpg","mime":"image\/jpeg","size":475989,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/richard-fujimoto.jpg?itok=TL2ZmTdY"}}},"media_ids":["261031"],"related_links":[{"url":"http:\/\/www.acm-sigsim-mskr.org\/","title":"SIGSIM"},{"url":"http:\/\/www.cc.gatech.edu\/people\/richard-fujimoto","title":"Richard Fujimoto"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"77101","name":"Richard Fujimoto; FLAMEL; Big Data; Computational Science and Engineering; Student; Training; Manufacturing; High Performance Computing; Material Science; Mathematics"}],"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\u003EJosie Giles\u003Cbr \/\u003EIDH Marketing Communications\u003Cbr \/\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":["josie@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"271971":{"#nid":"271971","#data":{"type":"news","title":"David Bader Selected as One of HPCWire\u2019s \u201cPeople to Watch\u201d in 2014","body":[{"value":"\u003Cp\u003EThe College of Computing at the Georgia Institute of Technology, one of only two major universities to house its computing program within a college of its own, today announced that\u0026nbsp;David A. Bader, professor and executive director of High Performance Computing, has been selected as one of\u0026nbsp;\u003Cem\u003EHPCWire\u003C\/em\u003E\u2019s\u0026nbsp;\u201cPeople to Watch\u201d\u0026nbsp;in 2014.\u003C\/p\u003E\u003Cp\u003EThe 2014 list is a compilation of the 16 best and brightest minds from academia, science, and technology whose contributions in high performance computing (HPC) have the potential to profoundly impact the world this year and beyond. Finalists are selected\u0026nbsp;following an extensive review process by the\u0026nbsp;\u003Cem\u003EHPCwire\u0026nbsp;\u003C\/em\u003Eeditorial and executive staff along with guidance from industry analysts and luminaries across the HPC community.\u003C\/p\u003E\u003Cp\u003EAlthough\u0026nbsp;\u003Cem\u003EHPCwire\u003C\/em\u003E\u0026nbsp;has recognized Bader as a \u201cperson to watch\u201d before, he continues to garner attention and recognition for his work in big data at the intersection where high performance computing meets real-world applications.\u003C\/p\u003E\u003Cp\u003EAmong his many achievements, Bader led an effort that resulted in a nearly $2 million dollar grant for researchers at Georgia Tech and the University of Southern California to bring supercomputing capabilities into the grasp of tablets, smart phones, and other devices.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/www.hpcwire.com\/people-watch-2014\/david-bader-2\/\u0022\u003ERead more\u003C\/a\u003E\u0026nbsp;about Bader and his thoughts on the trends in HPC for 2014.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp class=\u0022p1\u0022\u003EThe College of Computing at the Georgia Institute of Technology, one of only two major universities to house its computing program within a college of its own, today announced that David A. Bader, professor and executive director of High Performance Computing, has been selected as one of \u003Cem\u003EHPCWire\u003C\/em\u003E\u2019s \u201cPeople to Watch\u201d in 2014.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"HPCWire\u2019s Annual List Pays Tribute to the Best and Brightest Minds in HPC."}],"uid":"27255","created_gmt":"2014-01-28 14:00:58","changed_gmt":"2016-10-08 03:15:47","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-01-27T00:00:00-05:00","iso_date":"2014-01-27T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"hg_media":{"50723":{"id":"50723","type":"image","title":"David Bader","body":null,"created":"1449175437","gmt_created":"2015-12-03 20:43:57","changed":"1475894471","gmt_changed":"2016-10-08 02:41:11","alt":"David Bader","file":{"fid":"128822","name":"david-bader.jpg","image_path":"\/sites\/default\/files\/images\/david-bader_1.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/david-bader_1.jpg","mime":"image\/jpeg","size":11717,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david-bader_1.jpg?itok=ZuDeM7p6"}},"272011":{"id":"272011","type":"image","title":"David Bader","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader","file":{"fid":"198654","name":"david_bader_in_office.jpg","image_path":"\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","mime":"image\/jpeg","size":5387690,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david_bader_in_office_0.jpg?itok=HjyqVvJV"}},"272001":{"id":"272001","type":"image","title":"David Bader and Dan Campbell","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader and Dan Campbell","file":{"fid":"198653","name":"badercampbell.jpg","image_path":"\/sites\/default\/files\/images\/badercampbell_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/badercampbell_0.jpg","mime":"image\/jpeg","size":126674,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/badercampbell_0.jpg?itok=FaiobhNb"}},"271991":{"id":"271991","type":"image","title":"Mark Richards, David Bader, and Dan Campbell","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"Mark Richards, David Bader, and Dan Campbell","file":{"fid":"198652","name":"62602.jpeg","image_path":"\/sites\/default\/files\/images\/62602.jpeg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/62602.jpeg","mime":"image\/jpeg","size":1219104,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/62602.jpeg?itok=rAoAR7Pv"}}},"media_ids":["50723","272011","272001","271991"],"related_links":[{"url":"http:\/\/www.hpcwire.com\/off-the-wire\/hpcwire-reveals-2014-people-watch\/","title":"HPCWire\u2019s \u201cPeople to Watch\u201d"},{"url":"http:\/\/www.cc.gatech.edu\/people\/david-bader","title":"David A. Bader"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"84371","name":"David Bader; XScala; Supercomputing; Graph500; Sandia National Laboratories; high-performance computing"},{"id":"702","name":"hpc"},{"id":"85131","name":"HPCwire"}],"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\u003EJosie Giles\u003Cbr \/\u003EIDH Marketing Communications\u003Cbr \/\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":["josie@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"274331":{"#nid":"274331","#data":{"type":"external_news","title":"For Google, a Leg Up in the Artificial Intelligence Arms Race","body":[{"value":"\u003Cp\u003E\u0022Powerful algorithms and computers are able to solve problems that were intractable just a few years ago,\u0022 said David Bader, executive director of high performance computing at Georgia Institute of Technology.\u003C\/p\u003E\u003Cp\u003EGoogle has been working on artificial intelligence almost since its founding 16 years ago. Its efforts focused on improving search results, translation, and filtering spam. Google Now, a digital personal assistant within Google\u0027s mobile search app, is among the most ambitious of its efforts to date. It guesses what information users want based on their past search history and location, and then gives it to them.\u003C\/p\u003E\u003Cp\u003E\u0022Google Now can do simple things like give you directions to work or figure out that you have a flight,\u0022 Bader said. \u0022But to really predict what you\u0027re really going to do or to understand your\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2014-02-06 00:04:18","changed_gmt":"2016-10-08 02:26:56","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"black fly larvae","field_article_url":"","publication_url":"http:\/\/tech.fortune.cnn.com\/2014\/02\/05\/for-google-a-leg-up-in-the-artificial-intelligence-arms-race\/?iid=SF_F_River","dateline":{"date":"2014-02-05T00:00:00-05:00","iso_date":"2014-02-05T00:00:00-05:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"84371","name":"David Bader; XScala; Supercomputing; Graph500; Sandia National Laboratories; high-performance computing"},{"id":"3165","name":"google"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"288671":{"#nid":"288671","#data":{"type":"news","title":"Personal Touch Signature Makes Mobile Devices More Secure","body":[{"value":"\u003Cp\u003EPasswords, gestures and fingerprint scans are all helpful ways to keep a thief from unlocking and using a cell phone or tablet. Cybersecurity researchers from the Georgia Institute of Technology have gone a step further. They\u2019ve developed a new security system that continuously monitors how a user taps and swipes a mobile device. If the movements don\u2019t match the owner\u2019s tendencies, the system recognizes the differences and can be programmed to lock the device.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe new system is called LatentGesture and was used during a Georgia Tech lab study using Android devices. The system was nearly 98 percent accurate on a smartphone and 97 percent correct on tablets. The research team will present the findings for the first time at the end of April.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThe system learns a person\u2019s \u2018touch signature,\u2019 then constantly compares it to how the current user is interacting with the device,\u201d said Polo Chau, a Georgia Tech College of Computing assistant professor who led the study.\u003C\/p\u003E\u003Cp\u003ETo test the system, Chau and his team set up an electronic form with a list of tasks for 20 participants. They were asked to tap buttons, check boxes and swipe slider bars on a phone and tablet to fill out the form. The system tracked their tendencies and created a profile for each person.\u003C\/p\u003E\u003Cp\u003EAfter profiles were stored, the researchers designated one person\u2019s signature as the \u201cowner\u201d of the device and repeated the tests. LatentGesture successfully matched the owner and flagged everyone else as unauthorized users.\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cJust like your fingerprint, everyone is unique when they use a touchscreen,\u201d said Chau. \u201cSome people slide the bar with one quick swipe. Others gradually move it across the screen. Everyone taps the screen with different pressures while checking boxes.\u201d\u003C\/p\u003E\u003Cp\u003EThe research team also programmed the system to store five touch signatures on the same device \u2013 one \u201cowner\u201d and four authorized users. When someone other than the owner used the tablet, the system identified each with 98 percent accuracy.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cThis feature could be used when a child uses her dad\u2019s tablet,\u201d said College of Computing sophomore Premkumar Saravanan. \u201cThe system would recognize her touch signature and allow her to use the device. But if she tried to buy an app, the system could prevent it.\u201d\u003C\/p\u003E\u003Cp\u003EThe researchers say LatentGesture\u2019s biggest advantage is that the system is constantly running in the background. The user doesn\u2019t have to do anything different for added security and authentication.\u003C\/p\u003E\u003Cp\u003E\u201cIt\u2019s pretty easy for someone to look over your shoulder while you\u2019re unlocking your phone and see your password,\u201d said Samuel Clarke, another College of Computing student on the research team. \u201cThis system ensures security even if someone takes your phone or tablet and starts using it.\u201d\u003C\/p\u003E\u003Cp\u003EChau is co-advising the project with Hongyuan Zha, a professor in the School of Computational Science and Engineering. The study will be presented in Toronto at ACM Chinese CHI 2014 from April 26 to 27.\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EThis research was partially supported by the National Science Foundation (NSF) under \u003C\/em\u003E\u003Cem\u003Egrants \u003C\/em\u003E\u003Cem\u003EIIS-1049694 and IIS-1116886\u003C\/em\u003E\u003Cem\u003E.\u003C\/em\u003E\u003Cem\u003E Any conclusions expressed are those of the principal investigator and may not necessarily represent the official views of the NSF.\u003C\/em\u003E\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":[{"value":"New system provides security by monitoring how user touches the screen"}],"field_summary":[{"value":"\u003Cp\u003ECollege of Computing researchers have developed a new security system that continuously monitors how a user taps and swipes a mobile device. If the movements don\u2019t match the owner\u2019s tendencies, the system recognizes the differences and can be programmed to lock the device.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A new security system continuously monitors how a user taps and swipes a mobile device."}],"uid":"27560","created_gmt":"2014-04-07 09:32:48","changed_gmt":"2016-10-08 03:16:11","author":"Jason Maderer","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-04-07T00:00:00-04:00","iso_date":"2014-04-07T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"288771":{"id":"288771","type":"image","title":"LatentGesture","body":null,"created":"1449244254","gmt_created":"2015-12-04 15:50:54","changed":"1475894983","gmt_changed":"2016-10-08 02:49:43","alt":"LatentGesture","file":{"fid":"199169","name":"latentgesture_study_tablet.jpeg","image_path":"\/sites\/default\/files\/images\/latentgesture_study_tablet_0.jpeg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/latentgesture_study_tablet_0.jpeg","mime":"image\/jpeg","size":188872,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/latentgesture_study_tablet_0.jpeg?itok=mbM0d0EO"}},"288681":{"id":"288681","type":"image","title":"Polo Chau","body":null,"created":"1449244254","gmt_created":"2015-12-04 15:50:54","changed":"1475894983","gmt_changed":"2016-10-08 02:49:43","alt":"Polo Chau","file":{"fid":"199168","name":"polo_gray.jpg","image_path":"\/sites\/default\/files\/images\/polo_gray_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/polo_gray_0.jpg","mime":"image\/jpeg","size":50307,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/polo_gray_0.jpg?itok=aZe2vGOd"}}},"media_ids":["288771","288681"],"groups":[{"id":"1183","name":"Home"}],"categories":[{"id":"135","name":"Research"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"1404","name":"Cybersecurity"},{"id":"90991","name":"Touch Signature"}],"core_research_areas":[{"id":"39481","name":"National Security"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71881","name":"Science and Technology"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJason Maderer\u003Cbr \/\u003EMedia Relations\u003Cbr \/\u003E\u003Ca href=\u0022mailto:maderer@gatech.edu\u0022\u003Emaderer@gatech.edu\u003C\/a\u003E\u003Cbr \/\u003E404-385-2966\u003C\/p\u003E","format":"limited_html"}],"email":["maderer@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"290101":{"#nid":"290101","#data":{"type":"external_news","title":"Georgia Tech Researchers Want to Kill the Smartphone Passcode with \u201cTouch Signature\u201d","body":[{"value":"\u003Cp\u003EA team of Georgia Tech researchers have developed a security system \u2014 dubbed LatentGesture \u2014 that monitors how a user taps and swipes a mobile device. If the movements don\u2019t match the owner\u2019s unique touch signature, the system recognizes the differences and can be programmed to lock the device.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2014-04-11 13:24:58","changed_gmt":"2016-10-08 02:27:05","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"breakthrough cases","field_article_url":"","publication_url":"http:\/\/www.bizjournals.com\/atlanta\/blog\/atlantech\/2014\/04\/forget-passcodes-georgia-tech-researchers-use.html","dateline":{"date":"2014-04-09T00:00:00-04:00","iso_date":"2014-04-09T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"}],"keywords":[{"id":"345","name":"cyber security"},{"id":"87321","name":"Institute for Data \u0026 High Performance Computing"},{"id":"91271","name":"latent gesture"},{"id":"91281","name":"latentgesture"},{"id":"10419","name":"passwords"},{"id":"83261","name":"Polo Chau"},{"id":"168927","name":"smartphones"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"290661":{"#nid":"290661","#data":{"type":"news","title":"Intel Selects Georgia Tech as Site for Next Parallel Computing Center","body":[{"value":"\u003Cp\u003EAs modern computer systems become more powerful, utilizing as many as millions of processor cores in parallel, Intel is looking for new ways to efficiently use these high performance computing (HPC) systems to accelerate scientific discovery. As part of this effort, Intel has selected Georgia Tech as the site of one of its Parallel Computing Centers.\u003C\/p\u003E\u003Cp\u003EModern computing systems, to meet scientific demands of the future, cannot rely solely on the expanded computing power of hardware but also need algorithms and software that can efficiently use massive amounts of parallelism. Intel is creating \u003Ca href=\u0022https:\/\/software.intel.com\/en-us\/articles\/intel-parallel-computing-centers\u0022\u003EIntel Parallel Computing Centers\u003C\/a\u003E (IPCCs) at leading institutions in HPC research to promote the modernization of essential application codes to increase their parallelism and scalability.\u003C\/p\u003E\u003Cp\u003EThe IPCC at Georgia Tech will develop new parallel algorithms and software for quantum chemistry and biomolecular simulation.\u0026nbsp; Research will target large-scale computer systems using Intel Xeon Processors and Intel Xeon Phi coprocessors.\u0026nbsp; The center will also develop new curricular materials to equip future computer scientists with the skills to fully realize the capabilities of parallel computing resources for scientific applications.\u003C\/p\u003E\u003Cp\u003E\u201cWe\u0027re thrilled for Georgia Tech to be named as the next IPCC,\u201d said \u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~echow\/\u0022\u003EEdmond Chow\u003C\/a\u003E, associate professor and principal investigator of the new IPCC. \u201cIn the College of Computing we tackle large-scale problems with a holistic approach, combining high-performance computing with deep knowledge in scientific applications as well as novel algorithms based in applied mathematics.\u0026nbsp; This collaboration with Intel gives us access to their significant expertise in hardware systems and their optimization, and allows us to innovate in a multi-disciplinary way that we could not do before.\u201d\u003C\/p\u003E\u003Cp\u003E\u201cGeorgia Tech is doing top-notch research in high performance computing,\u201d said Pradeep Dubey, Intel fellow and director of the Intel Parallel Computing Lab.\u0026nbsp; \u201cIntel has had a long history of productive collaboration with the School of Computational Science and Engineering. We expect research at this IPCC to significantly advance the capabilities of supercomputers as they approach the frontiers of Exascale computing.\u201d\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ENew center with School of Computational Science and Engineering designed to advance capabilities of parallel computing systems through multi-disciplinary research and education\u003C\/em\u003E\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"New center with School of Computational Science and Engineering designed to advance capabilities of parallel computing systems through multi-disciplinary research and education"}],"uid":"27897","created_gmt":"2014-04-15 09:39:46","changed_gmt":"2016-10-08 03:16:15","author":"Phillip Taylor","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-04-16T00:00:00-04:00","iso_date":"2014-04-16T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"71730":{"id":"71730","type":"image","title":"Edmond Chow Headshot Fall 2011","body":null,"created":"1449177396","gmt_created":"2015-12-03 21:16:36","changed":"1475894642","gmt_changed":"2016-10-08 02:44:02","alt":"Edmond Chow Headshot Fall 2011","file":{"fid":"193567","name":"12c1002-p1-059.jpg","image_path":"\/sites\/default\/files\/images\/12c1002-p1-059_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/12c1002-p1-059_0.jpg","mime":"image\/jpeg","size":9984,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/12c1002-p1-059_0.jpg?itok=bLt0qxLh"}}},"media_ids":["71730"],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[{"id":"42941","name":"Art Research"}],"keywords":[{"id":"11171","name":"Edmond Chow"},{"id":"4767","name":"Intel"},{"id":"114601","name":"Press Release"}],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39541","name":"Systems"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPhillip Taylor\u003C\/p\u003E\u003Cp\u003ENews \u0026amp; Media Relations Manager\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:ptaylor@cc.gatech.edu\u0022\u003Eptaylor@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E404.894.7253\u003C\/p\u003E","format":"limited_html"}],"email":["ptaylor@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"291461":{"#nid":"291461","#data":{"type":"news","title":"Cosmic Slurp: Researchers Predict Signs of Black Holes Swallowing Stars","body":[{"value":"\u003Cp\u003ESomewhere out in the cosmos an ordinary galaxy spins, seemingly at slumber. Then all of a sudden, WHAM! A flash of light explodes from the galaxy\u0027s center. A star orbiting too close to the event horizon of the galaxy\u0027s central supermassive black hole has been torn apart by the force of gravity, heating up its gas and sending out a beacon to the far reaches of the universe.\u003C\/p\u003E\u003Cp\u003EIn a universe with tens of billions of galaxies, how would we see it? What would such a beacon look like? And how would we distinguish it from other bright, monumental intergalactic events, such as supernovas?\u003C\/p\u003E\u003Cp\u003E\u0022Black holes by themselves do not emit light,\u0022 said Tamara Bogdanovic, an assistant professor of physics at the Georgia Institute of Technology. \u0022Our best chance to discover them in distant galaxies is if they interact with the stars and gas that are around them.\u0022\u003C\/p\u003E\u003Cp\u003EIn recent decades, with improved telescopes and observational techniques designed to repeatedly survey the vast numbers of galaxies in the sky, scientists noticed that some galaxies that previously looked inactive would suddenly light up at their very center.\u003C\/p\u003E\u003Cp\u003E\u0022This flare of light was found to have a characteristic behavior as a function of time. It starts very bright and its luminosity then decreases in time in a particular way,\u0022 she explained. \u0022Astronomers have identified those as galaxies where a central black hole just disrupted and \u0027ate\u0027 a star. It\u0027s like a black hole putting up a sign that says \u0027Here I am.\u0027\u0022\u003C\/p\u003E\u003Cp\u003EUsing a mix of theoretical and computer-based approaches, Bogdanovic tries to predict the dynamics of events such as the black-hole-devouring-star scenario described above, also known as a \u0022tidal disruption.\u0022 Such events would have a distinct signature to someone analyzing data from a ground-based or space-based observatory.\u003C\/p\u003E\u003Cp\u003EUsing National Science Foundation-funded supercomputers at the Texas Advanced Computing Center (Stampede) and the National Institute for Computational Sciences (Kraken), Bogdanovic and her collaborators recently simulated the dynamics of these super powerful forces and charted their behavior using numerical models.\u003C\/p\u003E\u003Cp\u003ETidal disruptions are relatively rare cosmic occurrences. Astrophysicists have calculated that a Milky Way-like galaxy stages the disruption of a star only once in about 10,000 years. The luminous flare of light, on the other hand, can fade away in only a few years. Because it is such a challenge to pinpoint tidal disruptions in the sky, astronomical surveys that monitor vast numbers of galaxies simultaneously are crucial.\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EHuge difference\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ESo far, only a few dozen of these characteristic flare signatures have been observed and deemed \u0022candidates\u0022 for tidal disruptions. But with data from PanSTARRS, Galex, the Palomar Transient Factory and other upcoming astronomical surveys becoming available to scientists, Bogdanovic believes this situation will change dramatically.\u003C\/p\u003E\u003Cp\u003E\u0022As opposed to a few dozen that have been found over the past 10 years, now imagine hundreds per year--that\u0027s a huge difference!\u0022 she said. \u0022It means that we will be able to build a varied sample of stars of different types being disrupted by supermassive black holes.\u0022\u003C\/p\u003E\u003Cp\u003EWith hundreds of such events to explore, astrophysicists\u0027 understanding of black holes and the stars around them would advance by leaps and bounds, helping determine some key aspects of galactic physics.\u003C\/p\u003E\u003Cp\u003E\u0022A diversity in the type of disrupted stars tells us something about the makeup of the star clusters in the centers of galaxies,\u0022 Bodganovic said. \u0022It may give us an idea about how many main sequence stars, how many red giants, or white dwarf stars are there on average.\u0022\u003C\/p\u003E\u003Cp\u003ETidal disruptions also tell us something about the population and properties of supermassive black holes that are doing the disrupting.\u003C\/p\u003E\u003Cp\u003E\u0022We use these observations as a window of opportunity to learn important things about the black holes and their host galaxies,\u0022 she continued. \u0022Once the tidal disruption flare dims below some threshold luminosity that can be seen in observations, the window closes for that particular galaxy.\u0022\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ERole of supercomputer\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EIn a recent paper submitted to the \u003Cem\u003EAstrophysical Journal\u003C\/em\u003E, Bogdanovic, working with Roseanne Cheng (Center for Relativistic Astrophysics at Georgia Tech) and Pau Amaro-Seoane (Albert Einstein Institute in Potsdam, Germany), considered the tidal disruption of a red giant star by a supermassive black hole using computer modeling.\u003C\/p\u003E\u003Cp\u003EThe paper comes on the heels of the discovery of a tidal disruption event in which a black hole disrupted a helium-rich stellar core, thought to be a remnant of a red giant star, named PS1-10jh, 2.7 billion light years from Earth.\u003C\/p\u003E\u003Cp\u003EThe sequence of events they described aims to explain some unusual aspects of the observational signatures associated with this event, such as the absence of the hydrogen emission lines from the spectrum of PS1-10jh.\u003C\/p\u003E\u003Cp\u003EAs a follow-up to this theoretical study, the team has been running simulations on Kraken and Stampede, as well as the Georgia Tech\u0027s high performance computing clusters. The simulations reconstruct the chain of events by which a stellar core, similar to the remnant of a tidally disrupted red giant star, might evolve under the gravitational tides of a massive black hole.\u003C\/p\u003E\u003Cp\u003E\u0022Calculating the messy interplay between hydrodynamics and gravity is feasible on a human timescale only with a supercomputer,\u0022 Cheng said. \u0022Because we have control over this virtual experiment and can repeat it, fast forward, or rewind as needed, we can examine the tidal disruption process from many perspectives. This in turn allows us to determine and quantify the most important physical processes at play.\u0022\u003C\/p\u003E\u003Cp\u003EThe research shows how supercomputer simulations complement and constrain theory and observation.\u003C\/p\u003E\u003Cp\u003E\u0022There are many situations in astrophysics where we cannot get insight into a sequence of events that played out without simulations. We cannot stand next to the black hole and look at how it accretes gas. So we use simulations to learn about these distant and extreme environments,\u0022 Bogdanovic said.\u003C\/p\u003E\u003Cp\u003EOne of Bogdanovic\u0027s goals is to use the knowledge gained from simulations to decode the signatures of observed tidal disruption events.\u003C\/p\u003E\u003Cp\u003E\u0022The most recent data on tidal disruption events is already outpacing theoretical understanding and calling for the development of a new generation of models,\u0022 she explained. \u0022The new, better quality data indicates that there is a great diversity among the tidal disruption candidates. This is contrary to our perception, based on earlier epochs of observation, that they are a relatively uniform class of events. We have yet to understand what causes these differences in observational appearance, and computer simulations are guaranteed to be an important part of this journey.\u0022\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003E-- Written by Aaron Dubrow of the National Science Foundation.\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESomewhere out in the cosmos an ordinary galaxy spins, seemingly at slumber. Then all of a sudden, WHAM! A flash of light explodes from the galaxy\u0027s center. A star orbiting too close to the event horizon of the galaxy\u0027s central supermassive black hole has been torn apart by the force of gravity, heating up its gas and sending out a beacon to the far reaches of the universe.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Using theoretical and computer-based approaches, researchers are trying to predict the dynamics of how black holes devour stars."}],"uid":"27303","created_gmt":"2014-04-17 10:39:05","changed_gmt":"2016-10-08 03:16:15","author":"John Toon","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-04-17T00:00:00-04:00","iso_date":"2014-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"291411":{"id":"291411","type":"image","title":"Star Falling into a Black Hole","body":null,"created":"1449244289","gmt_created":"2015-12-04 15:51:29","changed":"1475894988","gmt_changed":"2016-10-08 02:49:48","alt":"Star Falling into a Black Hole","file":{"fid":"199245","name":"ps1_lg.jpg","image_path":"\/sites\/default\/files\/images\/ps1_lg_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/ps1_lg_0.jpg","mime":"image\/jpeg","size":137513,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ps1_lg_0.jpg?itok=sK6PavJ4"}},"291421":{"id":"291421","type":"image","title":"White Dwarf Star","body":null,"created":"1449244289","gmt_created":"2015-12-04 15:51:29","changed":"1475894988","gmt_changed":"2016-10-08 02:49:48","alt":"White Dwarf Star","file":{"fid":"199246","name":"white-dwarf.jpg","image_path":"\/sites\/default\/files\/images\/white-dwarf_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/white-dwarf_0.jpg","mime":"image\/jpeg","size":1031045,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/white-dwarf_0.jpg?itok=UsrsQAt1"}},"291441":{"id":"291441","type":"image","title":"Bogdanovic Research Group","body":null,"created":"1449244289","gmt_created":"2015-12-04 15:51:29","changed":"1475894988","gmt_changed":"2016-10-08 02:49:48","alt":"Bogdanovic Research Group","file":{"fid":"199247","name":"bogdanovic_group.jpg","image_path":"\/sites\/default\/files\/images\/bogdanovic_group_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/bogdanovic_group_0.jpg","mime":"image\/jpeg","size":342131,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bogdanovic_group_0.jpg?itok=ePleFJ9P"}},"291451":{"id":"291451","type":"image","title":"Tamara Bogdanovic","body":null,"created":"1449244289","gmt_created":"2015-12-04 15:51:29","changed":"1475894988","gmt_changed":"2016-10-08 02:49:48","alt":"Tamara Bogdanovic","file":{"fid":"199248","name":"tamarabogdanovic.jpg","image_path":"\/sites\/default\/files\/images\/tamarabogdanovic_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/tamarabogdanovic_0.jpg","mime":"image\/jpeg","size":154951,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/tamarabogdanovic_0.jpg?itok=yDSeBXo8"}}},"media_ids":["291411","291421","291441","291451"],"groups":[{"id":"1188","name":"Research Horizons"}],"categories":[{"id":"136","name":"Aerospace"},{"id":"135","name":"Research"},{"id":"150","name":"Physics and Physical Sciences"}],"keywords":[{"id":"4188","name":"astronomy"},{"id":"60491","name":"Black hole"},{"id":"91741","name":"Center for Relativistic Astrophysics"},{"id":"960","name":"physics"},{"id":"166937","name":"School of Physics"},{"id":"166909","name":"STAR"},{"id":"91731","name":"Tamara Bogdanovic"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71911","name":"Earth and Environment"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJohn Toon\u003C\/p\u003E\u003Cp\u003EResearch News\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022mailto:jtoon@gatech.edu\u0022\u003Ejtoon@gatech.edu\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E(404) 894-6986\u003C\/p\u003E","format":"limited_html"}],"email":["jtoon@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"292221":{"#nid":"292221","#data":{"type":"external_news","title":"Your Touchscreen Usage Is So Unique It Can Be Used as a Password","body":[{"value":"\u003Cp\u003EResearchers at\u0026nbsp;\u003Ca href=\u0022http:\/\/www.news.gatech.edu\/2014\/04\/07\/personal-touch-signature-makes-mobile-devices-more-secure\u0022 target=\u0022_blank\u0022\u003EGeorgia Tech have successfully created\u003C\/a\u003E\u0026nbsp;software that can lock down your tablet if someone else pokes and prods it.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2014-04-21 14:52:56","changed_gmt":"2016-10-08 02:27:05","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"faculty spotlight","field_article_url":"","publication_url":"http:\/\/gizmodo.com\/your-touchscreen-usage-is-so-unique-it-can-be-used-as-a-1564279273\/all","dateline":{"date":"2014-04-17T00:00:00-04:00","iso_date":"2014-04-17T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"42941","name":"Art Research"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"143","name":"Digital Media and Entertainment"}],"keywords":[{"id":"15092","name":"big data"},{"id":"3427","name":"High performance computing"},{"id":"87321","name":"Institute for Data \u0026 High Performance Computing"},{"id":"49901","name":"institute for data and high performance computing"},{"id":"91281","name":"latentgesture"},{"id":"83261","name":"Polo Chau"},{"id":"167055","name":"security"},{"id":"9280","name":"touch"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"293431":{"#nid":"293431","#data":{"type":"external_news","title":"Researchers Convert Basic Discoveries in Materials Science and Engineering to Real-World Applications","body":[{"value":"\u003Cp\u003EWhen scientists and engineers use the word materials, they mean any naturally occurring substance manipulated by humans to make things. 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Vetter (Oak Ridge National Laboratory \u0026amp; Georgia Tech, USA)\u003C\/p\u003E\u003Ch4\u003EWorkshop Papers\u003C\/h4\u003E\u003Cp\u003E\u003Cem\u003EPresented in Conjunction with IPDPS 2014.\u003C\/em\u003E\u003C\/p\u003E\u003Ch6 class=\u0022p2\u0022\u003E\u003Cstrong\u003EHiCOMB 2014\u003C\/strong\u003E\u003C\/h6\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003E\u003Cem\u003EParallelization of the Trinity Pipeline for de Novo Transcriptome Assembly\u003Cbr \/\u003E \u003C\/em\u003E\u003C\/strong\u003EVipin Sachdeva (Georgia Institute of Technology, USA); Chang-Sik Kim, Kirk Jordan; Martyn D. Winn\u003C\/p\u003E\u003Ch6 class=\u0022p2\u0022\u003E\u003Cstrong\u003EMTAAP 2014\u003C\/strong\u003E\u003C\/h6\u003E\u003Cp class=\u0022p1\u0022\u003E\u003Cstrong\u003E\u003Cem\u003ERevisiting Edge and Node Parallelism for Dynamic GPU Graph Analytics\u003Cbr \/\u003E \u003C\/em\u003E\u003C\/strong\u003EAdam McLaughlin (Georgia Institute of Technology, USA); David A. Bader (Georgia Institute of Technology, USA)\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EGeorgia Tech is putting forth a dominating presence at one of the premier parallel computation symposia this week in Phoenix as it sends 30 of its professors and researchers to present nine papers, two of which earned \u201cbest paper\u201d honors.\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Georgia Tech sends 30 professors and researchers to present nine papers at the International Parallel \u0026 Distributed Processing Symposium in Phoenix this week."}],"uid":"27255","created_gmt":"2014-05-21 08:50:33","changed_gmt":"2016-10-08 03:16:26","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-05-21T00:00:00-04:00","iso_date":"2014-05-21T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"298811":{"id":"298811","type":"image","title":"IPDPS 2014","body":null,"created":"1449244552","gmt_created":"2015-12-04 15:55:52","changed":"1475895000","gmt_changed":"2016-10-08 02:50:00","alt":"IPDPS 2014","file":{"fid":"199480","name":"ipdps2014_logo.jpg","image_path":"\/sites\/default\/files\/images\/ipdps2014_logo_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/ipdps2014_logo_0.jpg","mime":"image\/jpeg","size":21619,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/ipdps2014_logo_0.jpg?itok=ZinILH8z"}}},"media_ids":["298811"],"related_links":[{"url":"http:\/\/www.ipdps.org\/","title":"International Parallel \u0026 Distributed Processing Symposium (IPDPS)"},{"url":"http:\/\/www.ipdps.org\/ipdps2014\/Abstracts2k14.pdf","title":"IPDPS 2014 Abstracts"}],"groups":[{"id":"47223","name":"College of Computing"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"654","name":"College of Computing"},{"id":"13255","name":"david bader"},{"id":"11561","name":"IDH"},{"id":"1187","name":"IEEE"},{"id":"93621","name":"International Parallel \u0026 Distributed Processing Symposium (IPDPS). Institute for Data and High Performance Computing"},{"id":"93611","name":"parallel computation"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"166941","name":"School of Computer Science"},{"id":"168094","name":"Srinivas Aluru"}],"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\u003EJosie Giles\u003Cbr \/\u003EIDH Marketing Communications\u003Cbr \/\u003Ejosie@gatech.edu\u003Cbr \/\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"306201":{"#nid":"306201","#data":{"type":"external_news","title":"Society\u2019s Demand for \u201cBig Data\u201d Creating Shortage of Skilled Workers","body":[{"value":"\u003Cp class=\u0022p1\u0022\u003EBig Data has created a big employment problem for metro Atlanta\u2014there are simply too many jobs in data science and not enough people. And the gap between supply and demand is getting bigger. Universities in metro Atlanta are filling that void, helping both employers and those who want to obtain those jobs. A day does not go by that we don\u2019t hear of, or read a news story related to, the topic of data. It seems that everyone is collecting data\u2014everything from our Facebook posts to our energy consumption to the books we read. Georgia Tech has launched a Master of Science in Analytics, again with a strong connection with the local business community. Other emerging programs in analytics are offered by Emory University and the University of Georgia.\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27255","created_gmt":"2014-06-30 23:48:15","changed_gmt":"2016-10-08 02:27:11","author":"Josie Giles","boilerplate_text":"","field_publication":"","publication":"maritime","field_article_url":"","publication_url":"http:\/\/saportareport.com\/blog\/2014\/06\/societys-demand-for-big-data-creating-shortage-of-skilled-workers\/","dateline":{"date":"2014-06-29T00:00:00-04:00","iso_date":"2014-06-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"},{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"42911","name":"Education"},{"id":"139","name":"Business"},{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"145","name":"Engineering"}],"keywords":[{"id":"15092","name":"big data"},{"id":"96671","name":"Georgia Tech Master of Science in Analytics degree"},{"id":"167089","name":"Scheller College of Business"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"167755","name":"School of Industrial and Systems Engineering"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}},"306071":{"#nid":"306071","#data":{"type":"news","title":"Georgia Tech uses data science to promote social good","body":[{"value":"\u003Cp\u003EWith the Atlanta city skyline behind them, three students in a new Georgia Institute of Technology summer internship program harvested spinach at the Truly Living Well farm.\u003C\/p\u003E\u003Cp\u003EThe students talked with farmers and volunteers about the crops, planting schedules, harvest requests, visitor demographics and other data crucial to the daily operation.\u003C\/p\u003E\u003Cp\u003EUrban agriculture, the students realized, is a complex undertaking. Their challenge is to create a streamlined data management system for the farm and move them away from pencil and paper. Ideally, this system will allow the farm to increase productivity and move toward financial sustainability.\u003C\/p\u003E\u003Cp\u003EThe student team is one of five working with non-profits and government agencies as part of the Data Science for Social Good internship program, sponsored by Georgia Tech and Oracle.\u003C\/p\u003E\u003Cp\u003ESixteen students from around the country are participating in a 10-week paid internship program showing non-profits and government agencies how they can use data to tackle social and societal problems.\u003C\/p\u003E\u003Cp\u003EThe program allows students to solve real-world problems instead of relying on sample data sets, said Ellen Zegura, the program director.\u003C\/p\u003E\u003Cp\u003EIt also educates local non-profits on the need for better data systems, said Zegura, a professor in the School of Computer Science in the College of Computing at Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u201cWe are connecting those who collect data with the people who know how to turn the data into something meaningful that can have a positive impact,\u201d she said.\u003C\/p\u003E\u003Cp\u003EThe projects deal with safety, criminal justice, transportation and sustainability. The student teams are collaborating with the Atlanta Police Department, the city\u2019s Community Courts, Cycle Atlanta, Georgia Tech Office of Information Technology and Truly Living Well.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech is piloting the program this year and hopes to grow it next year. The Atlanta internship is modeled after a similar program the University of Chicago started last year.\u003C\/p\u003E\u003Cp\u003ERaj Bandyopadhyay, principal data scientist with Pindrop Security, heard about the Chicago program at a conference and led the charge to bring it to Atlanta.\u003C\/p\u003E\u003Cp\u003E\u201cSo often when people hear of big data, they don\u2019t understand how it can be used to improve their lives,\u201d he said. \u201cWe are showing future data scientists how they can use their skills to address social issues.\u201d\u003C\/p\u003E\u003Cp\u003EMore than 80 students applied for the internship. The selected students come from eight colleges including: Carnegie Mellon University, Southern Methodist University, Emory University and Georgia Tech.\u003C\/p\u003E\u003Cp\u003EUmashanthi Pavalanathan, a Ph.D. student in computer science at Georgia Tech, is working with 911 data collected by the city. They are looking at the response time between calls and how to best use the dispatchers.\u003C\/p\u003E\u003Cp\u003E\u201cI\u2019m so used to dealing with abstract concepts and situations that it\u2019s exciting to work with real clients on real issues,\u201d she said. \u201cYou get a good feeling knowing that what we\u2019re doing can help save somebody.\u201d\u003C\/p\u003E\u003Cp\u003EStudents from all five projects will present their findings and recommendations during a public demonstration and reception scheduled to begin at 6:30 p.m. on July 17 at Atlanta Tech Village. More information about the event and internship program can be found here: \u003Ca href=\u0022http:\/\/dssg-atl.io\u0022 title=\u0022http:\/\/dssg-atl.io\u0022\u003Ehttp:\/\/dssg-atl.io\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003EThe internship ends July 18, although the data will continue to reap benefits.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESixteen students from around the country are participating in a 10-week paid internship program showing non-profits and government agencies how they can use data to tackle social and societal problems.\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"The Data Science for Social Good internship program is sponsored by Georgia Tech and Oracle."}],"uid":"27918","created_gmt":"2014-06-30 13:37:23","changed_gmt":"2016-10-08 03:16:41","author":"Laura Diamond","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-06-30T00:00:00-04:00","iso_date":"2014-06-30T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"groups":[{"id":"1214","name":"News Room"}],"categories":[{"id":"129","name":"Institute and Campus"},{"id":"134","name":"Student and Faculty"},{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"15092","name":"big data"},{"id":"654","name":"College of Computing"},{"id":"92811","name":"data science"},{"id":"166941","name":"School of Computer Science"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"},{"id":"71901","name":"Society and Culture"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ELaura Diamond\u0026nbsp;\u003Cbr \/\u003EGeorgia Tech Media Relations\u003Cbr \/\u003E404-894-6016\u003C\/p\u003E","format":"limited_html"}],"email":["laura.diamond@gatech.edu"],"slides":[],"orientation":[],"userdata":""}},"306841":{"#nid":"306841","#data":{"type":"news","title":"Designing Super Long-Lasting Computers","body":[{"value":"\u003Cp\u003EThink of the perfect embedded computer. Think of a computer so energy-efficient that it can last 75 times longer than today\u2019s systems. Researchers at Georgia Tech are helping the Defense Advanced Projects Research Agency (DARPA) develop such a computer as part of an initiative called Power Efficiency Revolution for Embedded Computing Technologies, or PERFECT.\u003C\/p\u003E\u003Cp\u003E\u201cThe program is looking at how do we come to a new paradigm of computing where running time isn\u2019t necessarily the constraint, but how much power and battery that we have available is really the new constraint,\u201d says \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/people\/david-bader\u0022 target=\u0022_blank\u0022\u003EDavid Bader\u003C\/a\u003E, executive director of high-performance computing at the School of Computational Science and Engineering.\u003C\/p\u003E\u003Cp\u003EIf the project is successful, it could result in computers far smaller and orders of magnitude more efficient than today\u2019s machines. It could also mean that the computer mounted tomorrow on an unmanned aircraft or ground vehicle, or even worn by a soldier would use less energy than a larger device, while still being as powerful.\u003C\/p\u003E\u003Cp\u003EGeorgia Tech\u2019s part in the DARPA-led PERFECT effort is called GRATEFUL, which stands for Graph Analysis Tackling power-Efficiency, Uncertainty and Locality. Headed by Bader and co-investigator \u003Ca href=\u0022http:\/\/www.cse.gatech.edu\/people\/edward-riedy\u0022 target=\u0022_blank\u0022\u003EJason Riedy\u003C\/a\u003E, GRATEFUL focuses on algorithms that would process vast stores of data and turn it into a graphical representation in the most energy-efficient way possible.\u003C\/p\u003E\u003Cp\u003EThe ultimate goal is to get an algorithmic framework that delivers supercomputer capabilities on a small, power-restricted platform.\u003C\/p\u003E\u003Cp\u003EOne approach to reducing power consumption is to reduce the level of data collection. For example, when looking for a needle in a haystack, you don\u2019t necessarily need to inspect every piece of hay. \u201cWhat we\u2019re looking at is collecting the minimal data necessary to make accurate decisions,\u201d Bader says.\u003C\/p\u003E\u003Cp\u003EFor now, the Tech team is applying GRATEFUL to social network analysis. But that same technology could also be used for any number of security applications, such as identifying hackers trying to break into a network. And, eventually, the technology developed under GRATEFUL could find its way onto smaller, more efficient computers in unmanned aerial vehicles or worn by soldiers.\u003C\/p\u003E\u003Cp\u003EThe team is currently one year into a potentially five-year effort. Bader says most of the work is still in the elementary stages, but the team is developing proofs of concept software. \u201cOur goal is to create architecture-independent software that can run across multiple hardware platforms and still perform extremely well,\u201d he says.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Many top defense technologies get their start in Tech\u2019s labs."}],"uid":"27255","created_gmt":"2014-07-03 11:53:35","changed_gmt":"2016-10-08 03:16:41","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-07-03T00:00:00-04:00","iso_date":"2014-07-03T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"272011":{"id":"272011","type":"image","title":"David Bader","body":null,"created":"1449244095","gmt_created":"2015-12-04 15:48:15","changed":"1475894961","gmt_changed":"2016-10-08 02:49:21","alt":"David Bader","file":{"fid":"198654","name":"david_bader_in_office.jpg","image_path":"\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/david_bader_in_office_0.jpg","mime":"image\/jpeg","size":5387690,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/david_bader_in_office_0.jpg?itok=HjyqVvJV"}},"306891":{"id":"306891","type":"image","title":"David A. Bader working in the lab with Dan Campbell","body":null,"created":"1449244708","gmt_created":"2015-12-04 15:58:28","changed":"1475895015","gmt_changed":"2016-10-08 02:50:15","alt":"David A. Bader working in the lab with Dan Campbell","file":{"fid":"199760","name":"bader__campbell_0.jpg","image_path":"\/sites\/default\/files\/images\/bader__campbell_0_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/bader__campbell_0_0.jpg","mime":"image\/jpeg","size":919248,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/bader__campbell_0_0.jpg?itok=uJ9Q-mpK"}}},"media_ids":["272011","306891"],"related_links":[{"url":"http:\/\/www.cc.gatech.edu\/~bader\/","title":"High-Performance Computing"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"147","name":"Military Technology"}],"keywords":[{"id":"4305","name":"cse"},{"id":"690","name":"darpa"},{"id":"13255","name":"david bader"},{"id":"97191","name":"Graph Analysis Tackling power-Efficiency"},{"id":"97221","name":"GRATEFUL"},{"id":"3427","name":"High performance computing"},{"id":"97211","name":"Jason Riedy"},{"id":"97181","name":"or PERFECT"},{"id":"97171","name":"Power Efficiency Revolution for Embedded Computing Technologies"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"97201","name":"Uncertainty and Locality"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39481","name":"National Security"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EJosie Giles\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003Ejosie@gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"307131":{"#nid":"307131","#data":{"type":"news","title":"Yahoo Labs Vitalizes Academic Alliance with Georgia Tech","body":[{"value":"\u003Cp\u003EYahoo Labs has selected Georgia Tech\u2019s \u003Ca href=\u0022http:\/\/www.cc.gatech.edu\/~dchau\/\u0022 target=\u0022_blank\u0022\u003EPolo Chau\u003C\/a\u003E, an assistant professor in the School of Computational Science \u0026amp; Engineering, as an award recipient of the \u003Ca href=\u0022http:\/\/labs.yahoo.com\/organization\/academic-relations\/faculty\/\u0022 target=\u0022_blank\u0022\u003E2014 Yahoo Faculty Research and Engagement Program (FREP).\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe award funds a collaborative effort between Yahoo Labs and Chau, who will work with Hua Ouyang, a Yahoo research scientist,\u0026nbsp;on new approaches to discover, analyze, and visualize potentially compromised accounts in Yahoo Mail.\u003C\/p\u003E\u003Cp\u003EYahoo Labs is committed to forging strong alliances with top U.S. faculty members by collaborating on cutting edge research to advance web science.\u003C\/p\u003E\u003Cp\u003EThe FREP award represents yet another milestone between Yahoo Labs and Georgia Tech research collaboration efforts. FREP is Yahoo Lab\u2019s primary academic outreach initiative, which is designed to produce the highest quality scientific collaborations and outcomes, and this joint research effort between Chau and Yahoo will solve problems of mutual interest with measurable outcomes such as joint papers, advances in algorithm and systems research, and visualization and interaction design.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EGeorgia Tech recognizes Seth Tropper and Kim Capps-Tanaka from Yahoo Labs Academic Relations for their contributions to this new endeavor.\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Yahoo Labs selects Georgia Tech\u2019s Polo Chau as an award recipient of the 2014 Yahoo Faculty Research and Engagement Program (FREP)."}],"uid":"27255","created_gmt":"2014-07-07 20:18:49","changed_gmt":"2016-10-08 03:16:41","author":"Josie Giles","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2014-07-08T00:00:00-04:00","iso_date":"2014-07-08T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"288681":{"id":"288681","type":"image","title":"Polo Chau","body":null,"created":"1449244254","gmt_created":"2015-12-04 15:50:54","changed":"1475894983","gmt_changed":"2016-10-08 02:49:43","alt":"Polo Chau","file":{"fid":"199168","name":"polo_gray.jpg","image_path":"\/sites\/default\/files\/images\/polo_gray_0.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/polo_gray_0.jpg","mime":"image\/jpeg","size":50307,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/polo_gray_0.jpg?itok=aZe2vGOd"}}},"media_ids":["288681"],"related_links":[{"url":"http:\/\/www.cse.gatech.edu\/","title":"School of Computational Science and Engineering"},{"url":"http:\/\/www.cc.gatech.edu\/~dchau\/","title":"Polo Chau"}],"groups":[{"id":"1304","name":"High Performance Computing (HPC)"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"}],"keywords":[{"id":"4305","name":"cse"},{"id":"97371","name":"FREP"},{"id":"83261","name":"Polo Chau"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"8860","name":"yahoo"},{"id":"97361","name":"Yahoo Faculty Research and Engagement Program"}],"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\u003EJosie Giles\u003Cbr \/\u003ECollege of Computing\u003Cbr \/\u003E\u003Ca href=\u0022mailto:josie@gatech.edu\u0022\u003Ejosie@gatech.edu\u003Cbr \/\u003E\u003C\/a\u003E404-385-8551\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}},"327551":{"#nid":"327551","#data":{"type":"external_news","title":"Making Big Data Think Bigger","body":[{"value":"\u003Cp\u003EBig-data management promises a significant shift in the way decisions are made across the economy. One promising area of research is called computational enterprise analytics, and it was chosen this week as one of the central fields in the research agenda of a new nonprofit organization, the Center for Global Enterprise.\u0026nbsp;\u003Cstrong\u003ERahul C. Basole, \u003C\/strong\u003EInteractive Computing,\u0026nbsp;is working with the center in data visualization.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022http:\/\/bits.blogs.nytimes.com\/2014\/09\/20\/making-big-data-think-bigger\/?_php=true\u0026amp;_type=blogs\u0026amp;module=Search\u0026amp;mabReward=relbias%3As\u0026amp;_r=0\u0022 target=\u0022_blank\u0022\u003E\u003Cem\u003ESource: New York Times\u003C\/em\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":"","uid":"27592","created_gmt":"2014-09-22 12:37:03","changed_gmt":"2016-10-08 02:27:17","author":"Joshua Preston","boilerplate_text":"","field_publication":"","publication":"Would never be part of any organization that would have me as a 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