Advanced Static and Dynamic Scheduling of HPC Applications on Petascale Computer Systems with GPU Accelerators

Award Information
Agency:
Department of Energy
Branch
n/a
Amount:
$749,978.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
DE-FG02-08ER85149
Award Id:
89879
Agency Tracking Number:
n/a
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
632 Broadway, Suite 803, New York, NY, 10012
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
022423854
Principal Investigator:
BenoitMeister
Dr.
(212) 780-0527
meister@reservoir.com
Business Contact:
BenoitMeister
Dr.
(212) 780-0527
meister@reservoir.com
Research Institute:
n/a
Abstract
What has been holding back General Purpose Graphics Processing Units (GPGPUs) until now has been programmability. At present, to take advantage of GPGPUs' potential, application developers must hand-optimize their code, which is expensive and difficult. This project will develop an advanced compiler that, when combined with a GPGPU, will enable the code optimization process to be conducted automatically, for a broad class of compute-intensive applications. Phase I demonstrated the automatic method for some important kernels. In Phase II, the scope of kernels that can be automated via GPGPU computing will be broadened, and the compiler solution will be completed, thereby dramatically reducing the cost of porting massively parallel applications to GPGPUs. Commercial Applications and other Benefits as described by the awardee: The technology should make supercomputing less expensive and much more accessible, facilitating scientific breakthroughs and economic growth. Commercial applications include molecular biology, drug development, cancer research, oil and gas exploration, global warming modeling, etc

* information listed above is at the time of submission.

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