Fiscal Year:
2010
Title:
Random Number Generation for High Performance Computing
Agency / Branch:
DOD / ARMY
Contract:
W911NF-11-C-0026
Award Amount:
$99,965.00
Abstract:
Highly scalable parallel random number generators (RNGs) will be developed, evaluated and implemented for use in high performance computing on thousands of multi-core processors and general purpose graphics processing units. The main contributions are: (a) design and implementation of new parallel test methods that capture the inter-stream correlations exhibited in practice and complement the currently widely used sequential test batteries, (b) development of new parallel RNGs that produce 100s of thousands of high quality individual random number streams and explicitly minimize inter-stream correlations, and (c) preliminary implementation of the new test methods and parallel RNGs. The proposed RNGs will also be evaluated and tuned to generate cryptographically-secure random number streams that resist cryptanalysis attacks by insiders and eavesdroppers when used in large-scale peer-to-peer and distributed security applications. The investigators have extensive experience in the applications of random number generators, the test methods for random number generators, and the implementation of Monte Carlo applications on large clusters of processors and graphics processing units. The proposed approach balances the theoretical research with the implementation efficiencies and the use in real applications.
Small Business Information at Submission:
Silicon Informatics, Inc.
6500 Parnell Ave Edina, MN 55435
EIN/Tax ID:
820576026
DUNS:
N/A
Number of Employees:
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No
Research Institution Information:
Univ of Texas at San Antonio
Office of Sponsored Programs
One UTSA Circle
San Antonio, TX 78248
Contact:
Noe Saldana
Contact Phone:
2104584340