Award Abstract #9977872
Development of Innovative Programming Techniques for Using Commodity Multiprocessor Computers on High-Performance Multiscale Applications in Chemistry, Biology, and Materials
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NSF Org: |
CHE
Division of Chemistry
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Initial Amendment Date: |
August 25, 1999 |
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Latest Amendment Date: |
August 25, 1999 |
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Award Number: |
9977872 |
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Award Instrument: |
Standard Grant |
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Program Manager: |
Joan M. Frye
CHE Division of Chemistry
MPS Directorate for Mathematical & Physical Sciences
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Start Date: |
October 1, 1999 |
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Expires: |
September 30, 2002 (Estimated) |
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Awarded Amount to Date: |
$146836 |
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Investigator(s): |
William Goddard wag@wag.caltech.edu (Principal Investigator)
John Brady (Co-Principal Investigator) John Thornley (Co-Principal Investigator) Stephen Mayo (Co-Principal Investigator)
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Sponsor: |
California Institute of Technology
1200 E California Blvd
PASADENA, CA 91125 626/395-6073
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NSF Program(s): |
MAJOR RESEARCH INSTRUMENTATION
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Field Application(s): |
0106000 Materials Research
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Program Reference Code(s): |
BIOT, AMPP, 9183, 9161
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Program Element Code(s): |
1189
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ABSTRACT
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With this award from the Chemistry Research Instrumentation and Facilities (CRIF) and the Major Research Instrumentation (MRI) Programs, the Department of Chemistry at California Institute of Technology will develop innovative programming techniques for using commodity multiprocessor computers on high-performance multiscale applications in chemistry, biology and materials. This equipment will enhance research in a variety of areas such as molecular dynamics simulations; materials problems requiring multi-physics solutions; multiscale materials applications; macrobiology applications; fluid dynamics and process simulation; and applications in protein design.
A workstation network of fast, modern computer workstations is a new way to satisfy the computing needs of chemistry departments. Such a "computer network" also serves as a development environment for new theoretical codes and algorithms, provides state-of-the-art graphics and visualization facilities, and supports research in state-of-the-art applications of parallel processing.
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