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A parallel implementation of the SCAN language |
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| Authors: | Nikolaos G Bourbakis Christos Alexopoulos Allen Klinger |
| Affiliation: | 1 Department of ECE, SITE Machine Vision Lab, George Mason University, Fairfax, VA 22030, U.S.A. 2 Department of Computer Engineering, University of Patras, 26500, Patras, Greece 3 Department of Computer Science, University of California at Los Angeles, CA 90024, U.S.A. |
| Abstract: | SCAN is a special purpose context-free language which describes and generates a wide range of array accessing algorithms from a short set of simple ones. These algorithms may represent scan techniques for image processing, but at the same time they stand as generic data accessing strategies. In this paper we present two schemes (one sequential and one parallel) which implement the SCAN language and compare their memory requirements and execution time. |
| Keywords: | Picture processing Scanning techniques Special purpose languages Parallel implementation |
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