The authors provide an in-depth, comprehensive examination of hierarchical parallel systems within a comparative and taxonomical framework. They include a general introduction to hierarchical structures, possible topologies, and possible designs; an in-depth discussion of all proposed or built hierarchical parallel systems; and language supports and programming strategies. Their work will serve as both a teacher and reference to programmers and students in computer sciences and electrical engineering.
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Explains how to deal with the vast quantity of data required for computer vision by starting with a low spatial resolution (and therefore a small amount of data) and proceeding through successive refinements to the final verification of the results at the highest resolution available. Provides the groundwork for the architectural analysis described
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