{"624503":{"#nid":"624503","#data":{"type":"news","title":"Students Now Have the Opportunity for Hands-on Supercomputing Experience ","body":[{"value":"\u003Cp\u003EStudents have one more compelling reason to study computing at Georgia Tech: they now have access to work on a state-of-the-art supercomputer.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-systems\/\u0022\u003ENVIDIA DGX-1 supercomputer\u003C\/a\u003E\u0026nbsp;is a specialty graphics processing unit (GPU)-based platform designed to facilitate faster and more efficient big data sequencing, machine learning (ML), and deep learning processes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;There aren\u0026rsquo;t many computers or servers significant enough to be recognizable by model name. But, a DGX-1 is well-known throughout the computing community, particularly by the artificial intelligence and machine learning crowd,\u0026rdquo; said\u0026nbsp;\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/\u0022\u003ESchool of Computational Science and Engineering\u003C\/a\u003E\u0026nbsp;(CSE) Research Technologist\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/william-powell\u0022\u003EWill Powell\u003C\/a\u003E.\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough the DGX-1 is a well-known system, these high-profile computers are not normally accessible to the broader computational science community because of their cost, which is why this opportunity is unique\u0026nbsp;for Georgia Tech students.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECSE won funding for the DGX-1 as part of a bid approved in this fiscal year\u0026rsquo;s campus\u0026nbsp;\u003Ca href=\u0022https:\/\/support.cc.gatech.edu\/resources\/technology-fees\u0022\u003ETechnology Fee Funding.\u003C\/a\u003E\u0026nbsp;This institute-level program is orchestrated by a committee comprised of faculty, staff, and students that review proposals from across campus to purchase various technologies for instruction and learning.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;CSE strives to cultivate a diverse computing environment with ground-breaking technologies, such as the DGX-1. Providing students with the opportunity to use and study best-in-class, forward-thinking architectures allows us to further pioneer new computational methods,\u0026rdquo;\u0026nbsp;said Powell.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DGX-1 will\u0026nbsp;become available for the Fall 2019 semester in the data and visual analytics classes (CX4242 and CSE6242) taught by Lecturer\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/cse.gatech.edu\/people\/mahdi-roozbahani\u0022\u003EMahdi Roozbahani\u003C\/a\u003E\u0026nbsp;\u003C\/strong\u003Eand Associate Professor\u0026nbsp;\u003Ca href=\u0022https:\/\/poloclub.github.io\/polochau\/\u0022\u003E\u003Cstrong\u003EPolo Chau\u003C\/strong\u003E\u003C\/a\u003E. Students in these classes will use\u0026nbsp;this\u0026nbsp;platform\u0026nbsp;to accelerate computational analysis performed on large-scale real-world datasets.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This is a great opportunity for students to have access to a high performance platform designed for artificial intelligence, ML, deep learning, and analytics,\u0026rdquo; said Joint CSE and NVIDIA Senior Graph Software Engineer\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cse.gatech.edu\/people\/oded-green\u0022\u003EOded Green\u003C\/a\u003E\u003C\/strong\u003E,\u0026nbsp;whose research focuses\u0026nbsp;on improving the performance and scalability of large-scale graph analytics using platforms such as the DGX-1.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe DGX-1 is powered by 8 NVIDIA TESLA V100 GPUs, has over 40,000 CUDA Cores, 5,000 Tensor cores, and 1,000 TFLOPS built specially for deep learning.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnd while the DGX-1 arriving at Georgia Tech for student-use is exciting enough, there is cause for more celebration as a\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/data-center\/dgx-station\/\u0022\u003EDGX Station\u003C\/a\u003E\u0026nbsp;also arrived this year as part of the new\u0026nbsp;\u003Ca href=\u0022https:\/\/www.nvidia.com\/en-us\/research\/\u0022\u003ENVIDIA Artificial Intelligence (AI) Lab\u003C\/a\u003E\u0026nbsp;(NVAIL) grant\u0026nbsp;awarded to CSE.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe NVAIL grant focuses on developing multi-GPU graph analytics and the DGX station is constructed specifically for data science and artificial intelligence development. The station will be used for graduate students and researchers associated with the NVAIL.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E[Related News:\u0026nbsp;\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/620742\/two-new-nvidia-collaborations-awarded-georgia-tech-school-cses-leadership\u0022\u003ETwo New NVIDIA Collaborations Awarded to Georgia Tech with School of CSE\u0026rsquo;s Leadership\u003C\/a\u003E\u003C\/strong\u003E]\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"CSE acquires a supercomputer for hands-on student experience."}],"uid":"34540","created_gmt":"2019-08-14 15:56:06","changed_gmt":"2019-08-14 16:39:55","author":"Kristen Perez","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2019-08-14T00:00:00-04:00","iso_date":"2019-08-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"624505":{"id":"624505","type":"image","title":"DGX1-Inside","body":null,"created":"1565798986","gmt_created":"2019-08-14 16:09:46","changed":"1565798986","gmt_changed":"2019-08-14 16:09:46","alt":"Image of the racks of CUDA cores inside a DGX-1 supercomputer","file":{"fid":"237802","name":"DGX1-3.jpg","image_path":"\/sites\/default\/files\/images\/DGX1-3.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/DGX1-3.jpg","mime":"image\/jpeg","size":681892,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/DGX1-3.jpg?itok=jiUWgRdV"}}},"media_ids":["624505"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"431631","name":"OMS"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"624060","name":"Center for High Performance Computing (CHiPC)"}],"categories":[],"keywords":[{"id":"181217","name":"cse-hpc"},{"id":"181315","name":"cse-dse"},{"id":"167325","name":"supercomputer"},{"id":"167322","name":"supercomputing"},{"id":"3427","name":"High performance computing"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EKristen Perez\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["kristen.perez@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}