High performance mapping for massively parallel hierarchical structures

Document Type

Conference Proceeding

Publication Date

12-1-1990

Abstract

Techniques for mapping image processing and computer vision algorithms onto a class of hierarchically structured systems are presented. In order to produce mappings of maximum efficiency, objective functions that measure the quality of given mappings with respect to particular optimization goals are proposed. The effectiveness and the computation complexity of mapping algorithms that yield very high performance by minimizing the objective functions are discussed. Performance results are also presented.

Identifier

0025529957 (Scopus)

ISBN

[0818620536]

First Page

251

Last Page

254

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