USA flag logo/image

An Official Website of the United States Government

GPU-Accelerated Sparse Matrix Solvers for Large-Scale Simulations

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
95296
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
094622
Solicitation Year:
N/A
Solicitation Topic Code:
S6
Solicitation Number:
N/A
Small Business Information
EM Photonics, Incorporated
51 East Main Street Suite 203 Newark, DE -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2010
Title: GPU-Accelerated Sparse Matrix Solvers for Large-Scale Simulations
Agency: NASA
Contract: NNX10CC35P
Award Amount: $99,961.00
 

Abstract:

Many large-scale numerical simulations can be broken down into common mathematical routines. While the applications may differ, the need to perform functions such as matrix solves, Fourier transforms, or eigenvalue analysis routinely arise. Consequently, targeting fast, efficient implementations of these methods will benefit a large number of applications. Graphics Processing Units (GPUs) are emerging as an attractive platform to perform these types of simulations. There FLOPS/Watt and FLOPS/dollar figures are far below competing alternatives. In previous work, EM Photonics has implemented dense matrix solvers using a hybrid GPU/multicore microprocessor approach. This has shown the ability to significantly outperform either platform when used independently. In this project, we will develop a complimentary library focused on performing routines on sparse matrices. This will be extremely valuable to a wide set of users including those doing finite-element analysis and computational fluid dynamics. Using GPUs, users are able to build single workstations with an excess of four teraFLOPS of computational power as well as create large, high-performance computing systems that are efficient in terms of both cost and power. By leveraging libraries such as the ones we will develop for this project, the user is shielded from the intricacies of GPU programming while still able to access their computational performance.

Principal Investigator:

John Humphrey
Principal Investigator
3024569003
humphrey@emphotonics.com

Business Contact:

Eric Kelmelis
Business Official
3024569003
kelmelis@emphotonics.com
Small Business Information at Submission:

EM Photonics
51 East Main Street, Suite 203 Newark, DE 19711

EIN/Tax ID: 510411701
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No