Cellular Nanoscale Sensory Wave Computing
In this book the emerging and converging architecture of morphic cellular wave computers based on the concept of Cellular Neural/Nonlinear Network (CNN) is introduced in a practical way. The authors include descriptions of hardware architectures, software
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Chagaan Baatar
•
Wolfgang Porod
•
Tam´as Roska
Editors
Cellular Nanoscale Sensory Wave Computing
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Editors Chagaan Baatar Office of Naval Research Sensors, Electronics & Networks Research Division 875 N. Randolph Street Arlington VA 22203 USA [email protected]
Tam´as Roska MTA Budapest Computer & Automation Research Institute Kende ut. 13-17 Budapest 1111 Hungary [email protected]
Wolfgang Porod University of Notre Dame Center for Nano Science & Technology Notre Dame IN 46556 USA [email protected]
ISBN 978-1-4419-1010-3 e-ISBN 978-1-4419-1011-0 DOI 10.1007/978-1-4419-1011-0 Springer New York Dordrecht Heidelberg London Library of Congress Control Number: 2009930639 c Springer Science+Business Media, LLC 2010 All rights reserved. This work may not be translated or copied in whole or in part without the written permission of the publisher (Springer Science+Business Media, LLC, 233 Spring Street, New York, NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
This book is loosely based on a Multidisciplinary University Research Initiative (MURI) project and a few supplemental projects sponsored by the Office of Naval Research (ONR) during the time frame of 2004–2009. The initial technical scope and vision of the MURI project was formulated by Drs. Larry Cooper and Joel Davis, both program officers at ONR at the time. The unifying theme of this MURI project and its companion efforts is the concept of cellular nonlinear/neural network (CNN) technology and its various extensions and chip implementations, including nanoscale sensors and the broadening field of cellular wave computing. In recent years, CNN-based vision system drew much attention from vision scientists to device technologists and computer architects. Due to its early implementation in a two-dimensional (2D) topography, it found success in early vision technology applications, such as focal-plane arrays, locally adaptable sensor/ processor integration, resulting in extremely high frame rates of 10,000 frames per second. More recently it drew increasing attention from computer architects, due to its intrinsic local interconnect architecture and parallel processing paradigm. As a result, a few spin-off companies have already been successful in bringing cellular wave computing and CNN technology to the market. This book aims to capture some of the recent advances in the field of CNN research and a few select areas of applications. The book starts with a historical introdu
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