A novel reconfigurable multiprocessor for robot vision

A novel reconfigurable architecture based on a multi-ring multiprocessor network is described. The reconfigurability of the architecture is shown to result in a low network diameter and also a low degree of connectivity for each node in the network. The mathematical properties of the network topology and the hardware for the reconfiguration switch are described. Primitive parallel operations on the network topology are described and analyzed. The architecture is shown to contain a single 1-factor of the Boolean hypercube in any given configuration. A large class of algorithms for the Boolean n-cube and the 2-D mesh is shown to map efficiently on the proposed architecture without loss of performance. The architecture is shown to be well suited for a number of problems in robot vision.<
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