
NSF Org: |
CNS Division Of Computer and Network Systems |
Recipient: |
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Initial Amendment Date: | June 14, 2006 |
Latest Amendment Date: | May 11, 2012 |
Award Number: | 0551501 |
Award Instrument: | Continuing Grant |
Program Manager: |
Min Song
CNS Division Of Computer and Network Systems CSE Directorate for Computer and Information Science and Engineering |
Start Date: | June 1, 2006 |
End Date: | November 30, 2012 (Estimated) |
Total Intended Award Amount: | $500,317.00 |
Total Awarded Amount to Date: | $556,817.00 |
Funds Obligated to Date: |
FY 2007 = $167,575.00 FY 2008 = $166,238.00 FY 2010 = $56,500.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
1 UTSA CIR SAN ANTONIO TX US 78249-1644 (210)458-4340 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1 UTSA CIR SAN ANTONIO TX US 78249-1644 |
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): |
CCRI-CISE Cmnty Rsrch Infrstrc, Networking Technology and Syst |
Primary Program Source: |
app-0107 01000809DB NSF RESEARCH & RELATED ACTIVIT 01001011DB NSF RESEARCH & RELATED ACTIVIT |
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): | 47.070 |
ABSTRACT
Abstract
Program: NSF 04-588 CISE Computing Research Infrastructure
Title: CRI: Experimental Research in High-Performance Computing and Wireless Networking
Proposal: CNS 0551650
PI: Raju, G. V. S.
Institution: University of Texas at San Antonio
The University of Texas at San Antonio, a leader in higher education for Hispanic students and a rapidly growing research university, will establish a strong interdisciplinary research effort in wireless networks and security, high-speed networking, parallel and distributed computing, and image processing. Research includes progress on mathematical software libraries for cluster computers, 3D image reconstruction for tomography, persistent wireless networks, and energy-efficient and secure ad hoc and sensor networks. This award will support faculty and graduate student participants. Broader impacts of this project include increasing institutional capacity for research, increasing minority participation in graduate training, and enhancing the workforce for South Texas.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The outcomes of research on wireless networks and parallel computing will have significant impact on the cost and accessibility to internet for users, particularly those in remote areas. Our results on energy-efficient and secure use of wireless networks will facilitate making these networks more pervasive. Our research on parallel computing can be applied to solving biochemistry problems and fine tuning numerical libraries for optimal performance, generating a large number random number streams to facilitate large-scale simulations, and the 3-D image reconstruction for a computed tomography. We contribute to the state of the research by sharing our results through publications.
The impact of this research is seen at three levels: students, university, and community. The outcome of this research provides more avenues to bring women and minority students into our programs. At the university level, the collaborative research program with other institutions and industry will have a significant impact in research development and employment opportunities for our students. At the community level, the students from this research project will add to the skilled work force and to local industry in South Texas as well as nationally. Another impact of this project is increased dissemination of our experiences and the best practices to support students at the university and community levels.
Last Modified: 08/16/2012
Modified by: G.V.S. Raju
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