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DESCRIPTION:Presentation Abstract\n\nBridges is a new kind of supercomputer
  being built at the Pittsburgh Supercomputing Center (PSC) to empower new 
 research communities\, bring desktop convenience to supercomputing\, expan
 d campus access\, and help researchers facing challenges in Big Data to wo
 rk more intuitively. Funded by a $9.65M NSF award\, Bridges emphasizes usa
 bility\, flexibility\, and interactivity and consists of 846 large-shared-
 memory HPE servers having 12TB\, 3TB\, and 128GB each\, dedicated nodes fo
 r database\, web\, and data transfer\, high-performance shared and distrib
 uted data storage\, and powerful new CPUs and GPUs. Bridges is the first p
 roduction deployment of Intel’s new Omni-Path Architecture (OPA) Fabric. W
 idely-used languages and frameworks such as Java\, Python\, R\, MATLAB\, S
 park\, and Hadoop benefit transparently from large memory and the high-per
 formance OPA fabric. Virtualization and containers enable hosting web serv
 ices\, NoSQL databases\, and application-specific environments and facilit
 ate portability and reproducibility. Bridges\, allocated through XSEDE\, i
 s available at no charge to the U.S.-based PIs leading open research and t
 heir collaborators. A portion of Bridges is also available to industry thr
 ough PSC’s corporate programs.\n\nNicholas Nystrom\n\nDr. Nick Nystrom is 
 director of strategic applications at the Pittsburgh Supercomputing Center
  (PSC). He earned his BS degree from the University of Pittsburgh\, majori
 ng in chemistry\, math\, and physics and went on to his PhD in theoretical
  chemistry\, working with Professor Ken Jordan\, a pioneer in large-scale 
 quantum chemistry.  During that time\, Nick also completed PhD coursework 
 in physics and amplified his focus on computational science. Considering p
 ositions in industry and at PSC\, he chose the latter for its broad spectr
 um of research and positive impact on enabling academia and industry. Dr. 
 Nystrom currently leads development of hardware and software architectures
  to enable breakthroughs in data analytics and simulation\, for example\, 
 converging high-performance computing and Big Data to create new kinds of 
 uniquely capable and highly usable computing platforms. A few of his other
  research interests include discovering causal relationships in Big Data\,
  graph analytics\, and genomics.\n\n \n\nAbout the Webinar Series\n\nThe B
 RIDGE webinar series is designed to prepare for the next generation of big
  data analytics\, woven into transdisciplinary and intersectoral  sciences
 \, policy and innovation\, and serving as catalyst for solutions at scale 
 to  better address the seemingly intractable problems that lie at the nexu
 s of health and wealth production\, distribution and consumption. A key to
  accelerate change lies in establishing bridges between sectoral big data\
 , and between data and content. To foster real time learning\, the BRIDGE 
 webinar series brings together a new solution-oriented transdisciplinary t
 ranslational paradigm for the four Ms of big data sciences used on both si
 des of the health and economic divide (Machines\, Methods\, Models and Mat
 ter).\n
DTSTART:20160211T160000Z
DTEND:20160211T171500Z
SUMMARY:Nicholas Nystrom presents at the BRIDGE Webinar Series
URL:/desautels/channels/event/nicholas-nystrom-present
 s-bridge-webinar-series-258429
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