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GPU-Accelerated Sparse Matrix Solvers for Large-Scale Simulations

Award Information

National Aeronautics and Space Administration
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
51 E MAIN ST STE 203 NEWARK, DE 19711-7319
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: Yes
Phase 2
Fiscal Year: 2011
Title: GPU-Accelerated Sparse Matrix Solvers for Large-Scale Simulations
Agency: NASA
Contract: NNX11CA18C
Award Amount: $599,951.00


At the heart of scientific computing and numerical analysis are linear algebra solvers. In scientific computing, the focus is on the partial differential equations (PDEs) that arise from computational fluid dynamics (CFD), climate modeling, astrophysics, and structural and heat analysis that cannot be solved analytically. Certain problem formulations lead to sparse matrices, in which the majority of matrix elements are zero. Special attention is required when computing on sparse matrices in order to avoid using unrealistic amounts of memory or produce ill-performing software. Such topics have been the subject of considerable research and the limits of CPU-based performance have been reached.Recently, the graphics processing unit (GPU) has emerged as an attractive platform for high performance computing. The modern GPU boasts over 1 TFLOPS performance and as much as 6 GB onboard memory, but harnessing the power can be challenging. A library-based approach is common for HPC, with most applications using several libraries to offload well-known tasks. EM Photonics maintains a library of GPU-accelerated dense linear algebra solvers that has over 5000 users. In this project we will extend this library to include a wide range of sparse solvers, including many that have direct relevance to NASA projects.

Principal Investigator:

John Humphrey
Principal Investigator

Business Contact:

Eric Kelmelis
Business Official
Small Business Information at Submission:

EM Photonics
DE Suite 203 Newark, DE 19711-4685

EIN/Tax ID: 510411701
Number of Employees:
Woman-Owned: No
Minority-Owned: Yes
HUBZone-Owned: No