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

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
94979
Program Year/Program:
2010 / STTR
Agency Tracking Number:
F09B-T18-0126
Solicitation Year:
N/A
Solicitation Topic Code:
AF 09TT18
Solicitation Number:
N/A
Small Business Information
JMSI, Inc. dba Intelligent Light
301 Route 17 N 7th Floor Rutherford, NJ 07070-
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: Innovative CFD Algorithm, Libraries & Python Frameworks for Hybrid-GPU Computing Architectures
Agency / Branch: DOD / USAF
Contract: FA9550-10-C-0149
Award Amount: $99,877.00
 

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.

Principal Investigator:

Earl P.N. Duque
Manager of Applied Research
9286002450
epd@ilight.com

Business Contact:

Steve M. Legensky
General Manager
2014604700
sml@ilight.com
Small Business Information at Submission:

JMSI, Inc. dba Intelligent Light
301 Route 17 N 7th Floor Rutherford, NJ 07070

EIN/Tax ID: 223278360
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Univeristy of California, Davis
Office of Research, Sponsored
1850 Research Park Drive
Davis, CA 95618
Contact: Bernadine Smith
Contact Phone: 5307547958