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Proceedings Paper

Three-dimensional, massively parallel, optically interconnected silicon computational hardware and architectures for high-speed IR scene generation
Author(s): Huy H. Cat; D. Scott Wills; Nan Marie Jokerst; Martin A. Brooke; April S. Brown
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Paper Abstract

High frame rate infrared scene generation depends on high performance digital processors that are tightly coupled to infrared emitter arrays. Massively parallel image generation hardware can realize the type of high throughput, high frame rate processing that will characterize the next generation of scene generators. This work outlines projects in massively parallel, high throughput image generation hardware using thin film optoelectronic devices which are integrated directly onto low cost silicon integrated circuits. For basic scene generation, an array of thin film emitters are placed on top of digital single instruction stream, multiple data stream (SIMD) parallel processors to provide high performance focal plane generation in a monolithic system. For more complex scene generation, low cost stacked silicon integrated circuits, using through-silicon wafer optoelectronic channels for three dimensional interconnections, form an extremely dense, high throughput, three dimensional parallel processing system. Thin film InGaAsP devices, which operate at wavelengths to which silicon is transparent, are integrated on top of standard foundry silicon integrated circuits so that stacked processor chips can communicate vertically. High speed analog interface circuitry on the Si integrated circuits provides a high bandwidth link between the devices and the digital processing circuitry. This processing approach provides tremendous generality for high frame rate image generation applications in a compact system. Issues addressed include system interfacing, power management, manufacturing tolerances, testing and repair, and system cost and effectiveness.

Paper Details

Date Published: 2 June 1995
PDF: 5 pages
Proc. SPIE 2469, Targets and Backgrounds: Characterization and Representation, (2 June 1995); doi: 10.1117/12.210584
Show Author Affiliations
Huy H. Cat, Georgia Institute of Technology (United States)
D. Scott Wills, Georgia Institute of Technology (United States)
Nan Marie Jokerst, Georgia Institute of Technology (United States)
Martin A. Brooke, Georgia Institute of Technology (United States)
April S. Brown, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2469:
Targets and Backgrounds: Characterization and Representation
Wendell R. Watkins; Dieter Clement, Editor(s)

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