Agent-Based Intelligent Parallelization for Multi-Core Applications

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,998.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-08-C-0127
Award Id:
81268
Agency Tracking Number:
07SB2-0165
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
ARETE ASSOC. (Currently ARETE ASSOCIATES)
P.O. Box 6024, Sherman Oaks, CA, 91413
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
082191198
Principal Investigator:
John Engel
Senior Scientist
(520) 571-8660
jengel@arete.com
Business Contact:
David Kane
Vice President
(520) 571-8660
dkane@arete.com
Research Institution:
n/a
Abstract
Processor manufacturers are no longer able to rely on near Moore's Law like increases in straight line instruction throughput and clock frequency to provide users with the performance increases that they have become accustomed to. Instead, hardware developers have begun to take a different approach to capitalizing on the increasing number of transistors available by developing processors with multiple execution cores. Arete Associates will develop a scalable, agent-based, parallel processing architecture enabling application developers to efficiently utilize multi-core processors in environments including high-end and embedded systems. This object-oriented software architecture will be embodied in a C++ class library that will provide software developers with parallel processing capability while insulating them from details of the processing hardware. The approach used to develop this capability is an extension of an innovative algorithm component framework being developed at Arete for expediting the migration of algorithms to embedded processing systems. This architecture will be extended to provide a framework and tools for developing multi-core processing algorithms through a combination of a multi-agent system coupled with an optimized task mapping algorithm.

* information listed above is at the time of submission.

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