Multiagency Coordinating Committee for Combustion Research: Next Steps in Using Combustion Cyberinfrastructure - PowerPoint PPT Presentation

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Multiagency Coordinating Committee for Combustion Research: Next Steps in Using Combustion Cyberinfrastructure

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Title: Combustion and Plasma Research as a Cross-Disciplinary Part of NSF's Mission Author: Phillip R Westmoreland Last modified by: Phillip R Westmoreland – PowerPoint PPT presentation

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Title: Multiagency Coordinating Committee for Combustion Research: Next Steps in Using Combustion Cyberinfrastructure


1
Multiagency Coordinating Committee for Combustion
ResearchNext Steps in Using Combustion
Cyberinfrastructure
  • Phil Westmoreland
    Program Director,
    Combustion, Fire, and Plasma Systems NSF/ENG

Multiagency Coordinating Committee for Combustion
ResearchDoD - DOE - FAA - NASA - NIST - NSF
MACCCR Workshop on Advancing Cyberinfrastructure,
San Diego CA, March 28-29, 2007
2
Workshop agenda
  • Wednesday, March 28, 2007, 130-530pm
  • 130pm Review of Workshop context, agenda, and
    goals
  • 150 pm Perspectives from the TNF Workshop, Rob
    Barlow, CRF
  • 235pm PrIMe A Virtual Organization Phil
    Smith (Utah), Michael Frenklach (Berkeley), Greg
    Smith (SRI)
  • 320pm BREAK
  • 340pm Developing Cyberinfrastructure for
    Data-Oriented Science and Engineering Fran
    Berman, Director, SDSC
  • 420pm Insights from the Pittsburgh Combustion
    Simulation Workshop Geo Richards, NETL
  • 500-530pm Open Discussion
  • Thursday, March 29, 2007
  • 800am Panel-Oriented Discussion of
    Opportunities and Action Items
  • 930am Breakout sessions to identify needs
  • 1030-1130am Recap of breakout sessions
    Identification of Action Items

3
What is cyberinfrastructure - and what isnt it?
4
Combustion research has been a leader in using
cyber resources for modeling. For example
5
Automating the Generation of Detailed Chemical
MechanismsBill Green (MIT) - CBET-0312359
  • Complicated chemical mechanisms abound in
    manufacturing, biology, environment, and energy
    pollutants from combustion.
  • Ultimately, they are sets of individual
    reactions.
  • Project goal To automate construction solution
    of combustion simulations.
  • With XML data formats, maintain a large software
    package, used / modified by many researchers.
  • Include unambiguous documentation of simulation
    assumptions.
  • Generate simulation confidence limits along with
    the predictions.

6
(2) Using Full Chemistry in Large-Scale
Simulations (Turbulent Combustion) Pope, Chew,
Guckenheimer, Vavasis, Givi (Cornell
Pittsburgh)- CBET-0426787
  • Using full mechanisms by brute force is not
    practical to model chemistry in complicated
    environments.
  • However, the overall rate of the mechanism is
    often controlled by a few reactions, subsets of
    the full mechanism.
  • Key Identify the Intrinsic Low-Dimensional
    Manifold (ILDM).
  • May not be true species and individual reactions,
    but composites.
  • May be different ILDM in different regions -- use
    adaptive chemistry.
  • Rate still depends on temperature and chemical
    concentrations only.
  • Collect each calculation and simply look up rate
    if T and concentration conditions recur, rather
    than repeating detailed calculation
  • In Situ Adaptive Tabulation (ISAT)
  • Use these strategies with turbulent LES/FDF model
    through parallel computing here, simple H2/O2.

7
However, cyberinfrastructure is a fairly
recent, useful organizing concept.
  • It recognizes the coupling of infrastructure
  • Computer data acquisition, processing, and
    storage
  • Simulation, now accepted as one of the routine
    practical tools of conducting science and
    engineering
  • Dramatic increases in computing power, including
    terascale speed, storage, local cluster
    computing, and Internet-enabled grid computing
  • Ubiquity of the Web, linking people to each other
    and to information.
  • Not long ago, none of these advances were
    established.
  • Now, they set the stage for new approaches to
    combustion research and development.

8
In this light, combustion research is a pioneer
not only in computing but in use of
cyberinfrastructure.
  • Combustion has been a natural.
  • Diverse physical and chemical systems.
  • Large volumes of data acquisition, archiving,
    quantified uncertainties, validation,
    visualization.
  • Modeling from atoms to autos to the atmosphere.
  • Cyberinfrastructure is aiding the combined use of
    computing, networks, and inter-researcher
    collaboration.

9
CI value cuts across agency missions, too.
  • Breadth of molecular modeling codes and
    applications was seeded by sponsored research.
  • Supercomputer centers for high-performance
    computing by NSF, DoD, DOE, NASA.
  • Collaboration tools beyond teleconferencing
    beginning to be used.
  • Companies, including DoD contractors, are using
    data and findings from combustion research.

10
How do we best use it?
  • More powerful computing
  • Grid computing
  • Simulation-Based Engineering and Science
  • Cyber-Enabled Discovery and Innovation
  • Different ways of collecting data.
  • Remote sensor networks.
  • Remote experiments.
  • More effective collaboration and information
    transfer
  • Virtual organizations (gateways,
    collaboratories).

11
Virtual Organizations (VOs) can couple all three.
  • Well hear from TNF and PrIMe as two examples.
  • Not just websites

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Useful, but compare to capabilities of
nanoHub.org
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Big or small, both can be useful.
  • nanoHub.org has wide usage.
  • In contrast, a virtual organization may be a
    small group of geographically dispersed
    collaborators
  • Data storage, retrieval, visualization
  • Models and model results
  • Data vs model comparisons
  • Conferencing (NetMeeting, etc.)
  • Another possibility An interactive data resource
    like webbook.nist.gov/chemistry

20
One activity setting the stage for CI action in
combustion was an April 2006 workshop.
  • Cyber-Based Combustion Science, Apr 19-20, 2006
  • Report authors Trouvé, Haworth, J.H. Miller, Su,
    Violi
  • See http//www.nsf-combustion.umd.edu/
  • Three key themes
  • High-performance computing and sensor-driven
    modeling
  • Chemical data/software libraries and
    collaboratories
  • Education

21
April 2006 NSF Workshop recommendations
  • Quantitative, predictive capabilities for
    engineering-level simulations of combustion
    systems will require a cyberinfrastructure-enabled
    framework built around high-performance
    computing and collaborative science
    infrastructures
  • Ongoing developments in numerical combustion,
    driven in part by continued access of combustion
    scientists to high-end HPC centers.
  • Emergence of chemical digital libraries as
    data/software stores and collaboratories.
  • Coordination of efforts in and across other
    sub-communities of scientists and engineers in a
    common framework.
  • Use opportunities to improve combustion
    education
  • Renewed emphasis on pedagogical ties between
    fundamentals and applications
  • Promotion of combustion as a multi-scale
    discipline
  • Integration of data science and scientific
    computing into the curriculum.

22
That then is our charge.
  • We want to propose concrete steps forward to aid
    such approaches.
  • Listen and comment on different aspects.
  • Tomorrow, develop specific plans to propose.

23
Workshop agenda
  • Wednesday, March 28, 2007, 130-530pm
  • 130pm Review of Workshop context, agenda, and
    goals
  • 200 pm Perspectives from the TNF Workshop, Rob
    Barlow, CRF
  • 240pm PrIMe A Virtual Organization Phil
    Smith (Utah), Michael Frenklach (Berkeley), Greg
    Smith (SRI)
  • 320pm BREAK
  • 340pm Developing Cyberinfrastructure for
    Data-Oriented Science and Engineering Fran
    Berman, Director, SDSC
  • 420pm Insights from the Pittsburgh Combustion
    Simulation Workshop Geo Richards, NETL
  • 500-530pm Open Discussion
  • Thursday, March 29, 2007
  • 800am Panel-Oriented Discussion of
    Opportunities and Action Items
  • 930am Breakout sessions to identify needs
  • 1030-1130am Recap of breakout sessions
    Identification of Action Items
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