A dynamic associative processor for machine vision applications

The use of massively parallel associative processors as coprocessors for accelerating machine vision applications is considered. They achieve very fine granularity, as every word of memory functions as a simple processing element. A dense, dynamic, content-addressable memory cell supports fully parallel operation, and pitch-matched word logic improves arithmetic performance with minimal area cost. An asynchronous reconfigurable mesh network handles interprocessor communication and image input/output, and an area-efficient pass-transistor circuit counts and prioritizes responders. Some applications are discussed.<>