Field-Programmable Custom Computing Technology: Architectures, Tools, and Applications
Author:   Jeffrey Arnold ,  Wayne Luk ,  Ken Pocek
Publisher:   Springer
Edition:   Reprinted from JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS, 24:2/3, 2000
ISBN:  

9780792378037


Pages:   136
Publication Date:   30 April 2000
Format:   Hardback
Availability:   Out of stock   Availability explained
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Field-Programmable Custom Computing Technology: Architectures, Tools, and Applications


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Overview

Bringing together contributions and research results in the fast-moving area of field-programmable custom computing technology, this text describes advances in architectures, design methods, and applications of field-programmable devices for high-performance reconfigurable systems. The contributors to this work were selected from the leading researchers and practitioners in the field.

Full Product Details

Author:   Jeffrey Arnold ,  Wayne Luk ,  Ken Pocek
Publisher:   Springer
Imprint:   Springer
Edition:   Reprinted from JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS, 24:2/3, 2000
Dimensions:   Width: 20.30cm , Height: 1.30cm , Length: 25.40cm
Weight:   0.539kg
ISBN:  

9780792378037


ISBN 10:   0792378032
Pages:   136
Publication Date:   30 April 2000
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Guest Editors’ Introduction.- Pipeline Reconfigurable FPGAs.- Design and Implementation of the MorphoSys Reconfigurable Computing Processor.- Co-Synthesis to a Hybrid RISC/FPGA Architecture.- Design-Space Exploration for Block-Processing Based Temporal Partitioning of Runtime Reconfigurable Systems.- Application of Reconfigurable CORDIC Architectures.- A Configurable Logic Based Architecture for Real-Time Continuous Speech Recognition Using Hidden Markov Models.- The CAM-Brain Machine (CBM): Real Time Evolution and Update of a 75 Million Neuron FPGA-Based Artificial Brain.

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