In this paper, we present a fast parallel algorithm for feature extraction on coarse-grain MIMD machines. By maintaining algorithmic threads at each node, our algorithm enhances processor utilization and obtains large speed-ups. Our implementations show that, given a 1,024/spl times/1,024 image, speed-ups of 27.6 and 56.0 on a 32-node SP2 and a 64-node T3D can be achieved.
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