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