Kluwer, 1990. — 170 p.This book examines issues in designing hierarchical and partionable architectures for integrated vision systems. Furthermore, important issues such as how to map different algorithm and what techniques can be used implement algorithms with different characteristics are also addressed. order to be able to design a good architecture, it is important to understand the characteristics of the problems for which the architecture is targeted. This book first develops a model of computation for problems in integrated vision systems. The model examines and incorporates the computation, communication and other requirements for parallel implementation of IVSs. Using these requirements, a criterion is developed to design hierarchical and partitionable multiprocessor architectures for IVSs. A multiprocessor architecture (NETRA) is discussed and is critiqued in the light of the earlier developed criterion. Techniques to map algorithms on NETRA, analysis and implementation on a simulated architecture are described.
Introduction Model of Computation Architecture of NETRA Parallel Algorithms on a Cluster Inter-Cluster Communication in NETRA Load Balancing and Scheduling Techniques Concluding Remarks
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