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5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MicroNeuro '96)
VIP: An FPGA-based Processor for Image Processing and Neural Networks
Lausanne, SWITZERLAND
February 12-February 14
ISBN: 0-8186-7373-7
Jocelyn Cloutier, Universite de Montreal
Steven Pigeon, Universite de Montreal
Francois R. Boyer, Universite de Montreal
Eric Cosatto, AT&T Bell Laboratories
Patrice Y. Simard, AT&T Bell Laboratories
We present in this paper the architecture and implementation of the Virtual Image Processor (VIP) which is an SIMD multiprocessor build with large FPGAs. The SIMD architecture , together with a 2D torus connection topology, is well suited for image processing, pattern recognition and neural network algorithms. The VIP board can be programmed on-line at the logic level, allowing optimal hardware dedication to any given algorithm.
Citation:
Jocelyn Cloutier, Steven Pigeon, Francois R. Boyer, Eric Cosatto, Patrice Y. Simard, "VIP: An FPGA-based Processor for Image Processing and Neural Networks," microneuro, pp.330, 5th International Conference on Microelectronics for Neural Networks and Fuzzy Systems (MicroNeuro '96), 1996
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