V. K. Prasanna Kumar

Several issues in using parallel processing for image understanding are addressed. First, efficient schemes for parallel image array access are developed. New class of latin squares called perfect latin squares are defined. Several construction methods are shown and some useful properties of such squares are identified. A generic parallel model of computation employing electro optical devices is developed. Parallel techniques for image computations are developed on this model. Finally, processor time optimal solutions to several low and intermediate level image understanding tasks are designed on orthogonal access parallel architectures.

Parallel Architectures and Algorithms for Image Understanding

Luc Bougé

This book constitutes the refereed proceedings of the 11th International Conference on High-Performance Computing, HiPC 2004, held in Bangalore, India in December 2004. The 48 revised full papers presented were carefully reviewed and selected from 253 submissions. The papers are organized in topical sections on wireless network management, compilers and runtime systems, high performance scientific applications, peer-to-peer and storage systems, high performance processors and routers, grids and storage systems, energy-aware and high-performance networking, and distributed algorithms.

11th International Conference, Bangalore, India, December 19-22, 2004, Proceedings

High Performance Computing - HiPC 2004

Viktor K. Prasanna

Larry H. Canter

Papers presented at the Beverly Hills (Calif.) meeting of March 1992 on algorithms, architectures, mapping/scheduling, applications, software, systems and distributed systems. No index. Annotation copyrighted by Book News, Inc., Portland, OR.

V. K. Prasanna Kumar

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