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The new Frontiers in Computing Systems group,  part of Columbia’s Data Science Institute, is hosting an inaugural full-day symposium, with leading speakers and panelists, to highlight the advances and grand challenges in Big Data infrastructure:  extreme-scale computing systems (hardware, parallel computing, software, databases) and their application to solve diverse cutting-edge problems in climate and ocean science, population-scale biomedical informatics, genomics, materials science, neuroscience, astrophysics and engineering.

The symposium includes an exciting keynote by Ruchir Puri, the chief architect of IBM’s Watson system, on "Engineering the Future of Cognitive Systems."  Other speakers include those developing state-of-art high-performance parallel computers and large-scale Python-based software platforms, as well as experts on computational problems in climate science, astrophysics, and protein folding simulation.

The event will include a keynote talk, lunch, two talk presentation sessions, a networking and poster session, and a panel of experts with audience participation.

 

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Friday, March 24 • 1:15pm - 2:15pm
Presentation Session I:  Systems

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Session Chair:
Martha Kim, Associate Professor of Computer Science
Columbia University

  1. "Big Data, Streaming Graphs, and the Need for Innovation in Parallel Computer Architecture"
    Peter Kogge
    Chief Scientist and Founder, Emu Technology
    McCourtney Professor of Computer Science and Engineering, University of Notre Dame

    This talk will start with some insights gleaned from looking at real-world big data problems and how one example is affected by architecture. The Emu migrating thread architecture is then introduced and compared. A general template for integrated big graph batch and analytic processing is developed, and key graph operations, especially streaming, listed. The talk then ends with how the Emu architecture meshes well with such a dual-mode computing template.
     
  2. "Why Science Must Lead Computing in the Era of Big Data"
    Peter Wang
    CTO and Co-Founder, Continuum Analytics

    O
    ver the last 30 years, the PC and Internet booms have primarily driven funding and innovation in the for-profit business computing space.  Scientific computing has surely benefitted as an ancillary effect, but major technical computing initiatives (including supercomputers) have been a relatively niche pursuit in the broad technology ecosystem.

    Over the last few years, we've seen concurrent disruptions of hardware, software, networking, data, and algorithms -- all leading to a Cambrian explosion of approaches towards scaling massive computing on breathtakingly vast datasets.  The needs and interests of business computing and scientific simulation are colliding, leading to extremely exciting opportunities for innovation and discovery.

    In this talk, Peter will talk about the opportunity for scientific and technical computing to take the initiative in this unfolding Era of Data.  More importantly, he will discuss why it is of paramount importance for scientists to establish thought leadership not only in technical architecture and design, but also in areas such as reproducibility, data access, and ethics.

Speakers
avatar for Peter Kogge

Peter Kogge

Emu Technology, Chief Scientist and Founder, McCourtney Professor of Computer Science and Engineering, University of Notre Dame
PETER M. KOGGE received his Ph.D. in EE from Stanford in 1973. From 1968 until 1994 he was with IBM's Federal Systems Division, and is an IBM Fellow (1993). In 1994, he joined the University of Notre Dame as first holder of the McCourtney Chair in Computer Science and Engineering, where he served as both department chair and associate dean for research in the College of Engineering.  He is an IEEE Fellow, a Distinguished Visiting Scientist... Read More →
avatar for Peter Wang

Peter Wang

CTO and Co-Founder, Continuum Analytics
PETER WANG is the Chief Technology Officer and Co-Founder of Continuum Analytics.  He has been developing commercial scientific computing and visualization software for over 15 years, across a broad variety of areas, including 3D graphics, geophysics, financial risk modeling, large data simulation and visualization, and medical imaging.    Peter's interests in the fundamentals of vector computing and interactive visualization led... Read More →


Friday March 24, 2017 1:15pm - 2:15pm
Davis Auditorium 530 West 120th Street New York, NY 10027 USA

Attendees (6)