Automatic Compilation of Scene Generation Applications on Clusters with Graphics Coprocessors

Award Information
Agency:
Department of Defense
Branch:
Missile Defense Agency
Amount:
$99,999.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
FA8750-04-C-0162
Agency Tracking Number:
B041-027-0129
Solicitation Year:
2004
Solicitation Topic Code:
MDA04-027
Solicitation Number:
2004.1
Small Business Information
RESERVOIR LABS., INC.
632 Broadway, Suite 803, New York, NY, 10012
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
022423854
Principal Investigator
 Kenneth Mackenzie
 Consulting Engineer
 (212) 780-0527
 kenmac@reservoir.com
Business Contact
 Melanie Peters
Title: Business Manager
Phone: (212) 780-0527
Email: peters@reservoir.com
Research Institution
N/A
Abstract
Contemporary off-the-shelf graphics processing units (GPUs) are programmable multiprocessors-on-a-chip that surpass their host processors at raw computational capacity and far surpass them at computation capacity per dollar. Further, they are expected to continue to outpace general-purpose processors. Recently, GPUs have been used to accelerate non-graphics floating-point intensive tasks but they remain difficult to program, in part because their rapid evolution makes them a moving target. We propose to include clusters of standard computers with GPUs as a target for an existing compiler framework that supports a parameterized architecture description. The compiler framework exploits a "streaming" model of computation common to a class of multiprocessor-on-a-chip architectures under development in DARPA's Polymorphous Computing Architecture (PCA) program. The first phase of the proposed work would consist of experiments to quantify the applicability of GPUs to the scene generation problem and the ability of the compiler framework to model clusters with GPUs. The second phase would consist of compiler implementation work to add clusters with GPUs as a supported target to the compiler.

* information listed above is at the time of submission.

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