Vision algorithms for hypercube machines

Abstract

Several commercial hypercube parallel processors with the potential to deliver massive parallelism cost-effectively have been announced recently. They open the door to a wide variety of application areas that could benefit from parallelism. Computer vision is one of these application areas. This paper develops a general model for hypercube machines, and uses it to show how vision algorithms can be executed on hypercubes. In particular, the steps in the problem of thick-film inspection are used as a concrete example. The time needed to complete a typical inspection is used to demonstrate the performance of hypercube machines. Experimental results from a hypercube machine illustrate the potential use of such machines.