Algorithm Development for Multi-Core GPU-Based Computing Architectures

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-10-C-0104
Agency Tracking Number: F09B-T18-0256
Amount: $99,984.00
Phase: Phase I
Program: STTR
Awards Year: 2010
Solicitation Year: 2009
Solicitation Topic Code: AF09-BT18
Solicitation Number: 2009.B
Small Business Information
Global Engineering Research and Technolo
2845 E. 2nd Street, Tucson, AZ, 85716
DUNS: 627888675
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Ali Boufelfel
 Senior Scientist
 (520) 829-7655
 aboufelfel@gertechnologies.com
Business Contact
 Ibrahim Guven
Title: Vice President
Phone: (520) 829-7655
Email: iguven@gertechnologies.com
Research Institution
 The University of Arizona
 Ali Akoglu
 1230 E. Speedway Blvd., Tucson
Tucson, AZ, 85721
 (520) 626-5149
 Nonprofit college or university
Abstract
For the Phase I effort, a team comprised of experts in the areas of alternative high performance computing architectures such as the GPU, IBM Cell BE and Field Programmable Gate Arrays (Research Institution), and finite element analysis and continuum mechanics (Global Engineering Research and Technologies) has been formed to design and develop a framework and a library of algorithms optimized for the GPU architecture and targeted for solving partial differential equations. These algorithms will address problems relevant and important to aeronautics industry, which include solid mechanics, heat transfer and fluid dynamics. In solving specific PDEs, most suitable method will be selected. Newly developed algorithms on the GPU will be evaluated through a performance comparison against CPU platforms. Scalability of the developed algorithms will be tested. BENEFIT: The Phase I effort will establish the validity, merit and feasibility of the proposed approach for solving specific partial differential equations (PDEs). This effort will serve as the foundation for the Phase II development effort. During the Phase II, the framework developed during Phase I will be extended to include additional PDEs that are commonly used in research related to Air Force and other branches of DOD. This research will lead to obtaining solutions to PDEs faster with greater accuracy. Also, solutions to problems previously discarded due to being deemed computationally prohibitive will be within reach. Considering the fact that numerical solution of PDEs is one of the essential components in design, manufacturing and analysis of machines and structures, the vast majority of manufacturing sector (aerospace, automobile, electronics, etc.) will find this research highly attractive.

* information listed above is at the time of submission.

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