Intelligent 4-Way GPU Advanced Switching Bridge Chip for Simulation and Scene Generation

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,598.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
W9113M-05-C-0023
Award Id:
74698
Agency Tracking Number:
044-0938
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
4505 Spicewood Springs Road, Suite 360, Austin, TX, 78759
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
135494073
Principal Investigator:
GaryMcMillian
Technologist & Partner
(512) 795-0221
gary.mcmillian@crossfieldtech.com
Business Contact:
DavidLamb
Business Administration & Partner
(407) 491-6929
david.lamb@crossfieldtech.com
Research Institute:
n/a
Abstract
The Crossfield simulator will significantly increase the MDA's ability to evaluate a missile defense systems' effectiveness without conducting expensive field tests and will enable faster development of anti-missile systems. The simulator uses clusters of high-performance Central Processor Units (CPUs) and Graphic Processor Units (GPUs) to generate realistic scenes in real-time, and the generated scenes are fed out through electro-optic interface modules interconnected by a low-latency, ultra-high-throughput PCI Express Advanced Switching (AS) fabric. The CPUs support a wide range of fixed-point and floating-point algorithms, and include very high performance vector processors. The GPU internal pipelines are optimized for stream computing, and provide exceptionally high floating-point performance for selected algorithms. GPUs from NVIDIA, ATI and others are becoming increasingly versatile in the types of algorithms they can effectively support, however, while maintaining a significant performance advantage over general-purpose CPUs. Crossfield proposes to develop an intelligent 4-way GPU AS bridge chip to tightly couple clusters of GPUs to an AS fabric. The integrated circuit will include local switching and memory resources configured to support the GPU stream computing paradigm.

* information listed above is at the time of submission.

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