Algorithmically Specialized Parallel Computers focuses on the concept and characteristics of an algorithmically specialized computer.This book discusses the algorithmically specialized computers, algorithmic specialization using VLSI, and innovative architectures. The architectures and algorithms for digital signal, speech, and image processing and specialized architectures for numerical computations are also elaborated. Other topics include the model for analyzing generalized inter-processor, pipelined architecture for search tree maintenance, and specialized computer organization for raster graphics display. The data base applications of the FETCH-AND-ADD instruction, distributed parallel architecture for speech understanding, and two parallel formulations of particle-in-cell models are likewise covered in this text.This publication is suitable for students, researchers and professionals concerned with algorithmically specialized computers.
Lawrence Snyder is a professor of Computer Science and Engineering at the University of Washington in Seattle. He received a BA from the University of Iowa in Mathematics and Economics, and his PhD from Carnegie Mellon University as a student of A. Nico Habermann. He has served on the faculties of Yale and Purdue, and has had visiting appointments at UW, Harvard, MIT, Sydney University, The Swiss Technological University (ETH), The University of Auckland, Kyoto University, The University of Western Australia and The University of Cyprus.