Algorithm Development for Reconfigurable Computing Architectures

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,997.00
Award Year:
2007
Program:
STTR
Phase:
Phase I
Contract:
FA9550-07-C-0089
Award Id:
83341
Agency Tracking Number:
F074-017-0165
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1604 Stone Ridge Way, Bel Air, MD, 21015
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
603014684
Principal Investigator:
Vincent Natoli
President
(410) 836-9909
vnatoli@stoneridgetechnology.com
Business Contact:
Vincent Natoli
President
(410) 836-9909
vnatoli@stoneridgetechnology.com
Research Institute:
UNIV. OF TENNESSE
Jack Dongarra
Innovative Computing Lab
1122 Volunteer Blvd., Suite
Knoxville, TN, 37996-3450
(865) 974-8295
Nonprofit college or university
Abstract
The demands of high performance engineering calculations have pushed modern computing architectures based on scalar multiprocessors to their very limits. Larger systems, unstructured grids, multi-scale and multi-phase requirements have all worked to dramatically increase problem complexity. This has created an urgent need for faster, more capable processing techniques. Implementing software algorithms in hardware is one approach to a significant reduction in processing time, however, the specialized nature of custom solutions makes them expensive, inflexible and useful for only the most critical tasks. Field Programmable Gate Arrays (FPGAs) offer the speed of dedicated hardware with the programmable flexibility of software. FPGAs may be inserted into workstations and clusters to provide very effective acceleration. The state of the art suffers from development environments that are ill-suited to general purpose programming and the lack of low cost hardware that is designed to this task. In this project we propose to develop and demonstrate innovative algorithms and computationally effective solutions to problems of engineering physics for the solution of differential equations and the simulation of physics via stochastic techniques.

* information listed above is at the time of submission.

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