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Meeting Information



Project Title: Future Directions for NSF Advanced Computing Infrastructure to Support US Science in 2017-2020

PIN: DEPS-CSTB-13-04         

Major Unit:
Division on Engineering and Physical Sciences

Sub Unit:
Computer Science & Telecommuncations Board DEPS

RSO:
Eisenberg, Jon

Subject/Focus Area:
Behavioral and Social Sciences; Biology and Life Sciences; Computers and Information Technology; Earth Sciences; Engineering and Technology; Environment and Environmental Studies; Health and Medicine; Math, Chemistry and Physics; Policy for Science and Technology


Future Directions for NSF Advanced Computing Infrastructure to support US Science in 2017-2020
December 15, 2014 - December 16, 2014
Computer Science Museum
1401 N Shoreline Blvd, Mountain View, CA 94043


If you would like to attend the sessions of this meeting that are open
to the public or need more information please contact:


Contact Name: Shenae Bradley
Email: sbradley@nas.edu
Phone: 202-334-2293
Fax: 202-334-2318


Agenda:

10:00 – 12:30 Simulation and other Science (30 min. each presentation + Q&A)

• How does your field/community plan its overall computational needs? Is there a current document or process?
• Which agencies support your computational needs? Is there a differentiation by agency (e.g., capability at DOE, capacity at NSF)?
• Who are your international competitors, and what computational resources do they have?
• How are new modes of computing (e.g., big data, streaming sensors) changing computational science in your field?

Christian Ott, Caltech
Thomas Cheatham, Univ. of Utah
Tom Jordan, University of Southern California
Steven Gottlieb, Indiana Univ.

12 noon – 1 pm Break for lunch

1 – 2:30 Technologies and Commercial Providers (30 min. each presentation + discussion)

• What are expected trends in service offerings, and what are the implications for science applications?
• To what extent can commercial providers support the range of science computing needs, including capacity, high-throughput, and capability computing?
• What are the cost models relevant to supporting NSF science applications? What sort of long-term commitments to supporting science applications are possible?

Roger Barga, Amazon
Tony Hey, Microsoft (remotely, to be confirmed)

2:30 – 2:45 Break

2:45 – 4:45 Data Science and New Application Areas (30 min. each presentation + discussion)

• What large-scale resources are needed in your field/community?
• In what specific ways are those needs different that provided by current NSF shared resources (XSEDE/Blue Waters/recent cloud systems)?
• How does your field/community plan its overall computational needs? Is there a current document or process?

Ilkay Altintas, San Diego Supercomputer Center
Jacek Becla, SLAC National Accelerator Laboratory
Victoria Stodden, Univ. of Illinois, Urbana-Champaign

4:45– 5:30 Discussion/wrap-up

Dec. 16, 2014

9 am - 10:00 am Ed Lazowska, University of Washington



Closed Session Summary Posted After the Meeting

The following committee members were present at the closed sessions of the meeting:


The following topics were discussed in the closed sessions:


The following materials (written documents) were made available to the committee in the closed sessions:


Date of posting of Closed Session Summary: