Innovative CFD Algorithm, Libraries & Python Frameworks for Hybrid-GPU Computing Architectures

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,877.00
Award Year:
2010
Program:
STTR
Phase:
Phase I
Contract:
FA9550-10-C-0149
Award Id:
94979
Agency Tracking Number:
F09B-T18-0126
Solicitation Year:
n/a
Solicitation Topic Code:
AF 09TT18
Solicitation Number:
n/a
Small Business Information
301 Route 17 N, 7th Floor, Rutherford, NJ, 07070
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
927751149
Principal Investigator:
Earl P.N. Duque
Manager of Applied Research
(928) 600-2450
epd@ilight.com
Business Contact:
Steve Legensky
General Manager
(201) 460-4700
sml@ilight.com
Research Institution:
Univeristy of California, Davis
Bernadine Smith
Office of Research, Sponsored
1850 Research Park Drive
Davis, CA, 95618
(530) 754-7958
Nonprofit college or university
Abstract
The need for faster highly resolved solutions coupled with the advent of General Purpose Graphics Processing Unit (GPGPU) architectures and the development of GPGPU algorithms at the University of California, Davis present an opportunity that JMSI Inc. proposes to leverage by developing algorithmic and software solutions for GPGPUs in "Innovative CFD Algorithms, Libraries & Python Frameworks for Hybrid CPU-GPU Compute Architectures". In the Phase 1 effort proposed herein, JMSI Inc. proposes to develop prototype algorithms for the core CFD primitives and matrix solvers that can be used with any CFD code through either libraries or a Python Interface Framework. The prototypes are based upon GPGPU research produced by the University COLLABORATORs, Profs. John Owens and Roger Davis, from the University of California, Davis. The MBFLO code by Prof. Davis will be used to demonstrate the core CFD primitives while a development implicit code will be used to demonstrate the use of implicit time stepping algorithms by Owens that are amenable to GPGPU architectures. BENEFIT: Accelerated CFD solutions at lower cost. Open source GPGPU libraries and Python Components that can be used with any CFD solver.

* information listed above is at the time of submission.

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