
NSF Org: |
AGS Division of Atmospheric and Geospace Sciences |
Recipient: |
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Initial Amendment Date: | August 5, 2005 |
Latest Amendment Date: | February 4, 2009 |
Award Number: | 0540688 |
Award Instrument: | Standard Grant |
Program Manager: |
Stephen Meacham
smeacham@nsf.gov (703)292-7599 AGS Division of Atmospheric and Geospace Sciences GEO Directorate for Geosciences |
Start Date: | August 1, 2005 |
End Date: | July 31, 2009 (Estimated) |
Total Intended Award Amount: | $0.00 |
Total Awarded Amount to Date: | $100,000.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
506 S WRIGHT ST URBANA IL US 61801-3620 (217)333-2187 |
Sponsor Congressional District: |
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Primary Place of Performance: |
506 S WRIGHT ST URBANA IL US 61801-3620 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | CYBERINFRASTRUCTURE |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
The project is a planning effort designed to develop a detailed analysis of the high-end computing requirements of geoscience research challenges and to share information on the implications, for geoscience research, of architectural trends in high-end computing system design. Through tele-conferences, workshops and outreach at professional meetings, the project will bring together geoscience modelers, computational scientists, and architecture experts from major high-end system and processor vendors. This planning effort is consistent with a recommendation for such an activity that emerged from a recent study, by members of the geoscience research community, of the scientific need for, and technical feasibility of, a petascale computing collaboratory for geoscience research. The anticipated consequences of this effort are: (i) the development of technical requirements that will be useful to groups acquiring high-end computing systems for geoscience research, and (ii) a stronger focus within the computational geosciences community on matching algorithm design to computational architecture design, leading eventually to increases in the ability of the geosciences community to make effective use of high-end computational resources.
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