Mapping Artificial Neural Networks On Massively Parallel Architectures

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Parallel Architectures for Artificial Neural Networks

Author : N. Sundararajan,P. Saratchandran
Publisher : Wiley-IEEE Computer Society Press
Page : 424 pages
File Size : 43,8 Mb
Release : 1998-12-14
Category : Computers
ISBN : UOM:39015046908375

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Parallel Architectures for Artificial Neural Networks by N. Sundararajan,P. Saratchandran Pdf

An excellent reference for neural networks research and application, this book covers the parallel implementation aspects of all major artificial neural network models in a single text. Parallel Architectures for Artificial Neural Networks details implementations on various processor architectures built on different hardware platforms, ranging from large, general purpose parallel computers to custom built MIMD machine. Working experts describe their implementation research including results that are then divided into three sections: The theoretical analysis of parallel implementation schemes on MIMD message passing machines The details of parallel implementation of BP neural networks on general purpose, large, parallel computers Four specific purpose parallel neural computer configuration Aimed at graduate students and researchers working in artificial neural networks and parallel computing this work can be used by graduate level educators to illustrate parallel computing methods for ANN simulation. Practitioners will also find the text an ideal reference tool for lucid mathematical analyses.

Parallel Architectures And Neural Networks: Fourth Italian Workshop

Author : E R Caianiello
Publisher : World Scientific
Page : 396 pages
File Size : 51,5 Mb
Release : 1991-11-12
Category : Electronic
ISBN : 9789814555784

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Parallel Architectures And Neural Networks: Fourth Italian Workshop by E R Caianiello Pdf

Organized and supported by IIASS and other Italian institutions, this Workshop in Vietri sul Mare has now become a permanent annual event. The aim is to foster closer links among all groups and individuals working in Europe in this inter- and multi-disciplinary area. Topics cover models, architectures and applications.

Parallel Computing

Author : Jonathan P. Gray,Fazel Naghdy
Publisher : IOS Press
Page : 312 pages
File Size : 44,7 Mb
Release : 1995
Category : Computers
ISBN : 9051991967

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Parallel Computing by Jonathan P. Gray,Fazel Naghdy Pdf

The broadening of interest in parallel computing and transputers is reflected this book. Topics discussed include: concurrent programming; graphics and image processing; parallel applications; robotics; and control and software tools. The book also features a collection of abstracts of poster presentations.

World Congress on Neural Networks

Author : Paul Werbos,Harold Szu,Bernard Widrow
Publisher : Routledge
Page : 860 pages
File Size : 42,6 Mb
Release : 2021-09-09
Category : Psychology
ISBN : 9781317713425

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World Congress on Neural Networks by Paul Werbos,Harold Szu,Bernard Widrow Pdf

Centered around 20 major topic areas of both theoretical and practical importance, the World Congress on Neural Networks provides its registrants -- from a diverse background encompassing industry, academia, and government -- with the latest research and applications in the neural network field.

Parallel Digital Implementations of Neural Networks

Author : K. Wojtek Przytula,V. K. Prasanna Kumar
Publisher : Prentice Hall
Page : 346 pages
File Size : 49,6 Mb
Release : 1993
Category : Computers
ISBN : UOM:39015032742614

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Parallel Digital Implementations of Neural Networks by K. Wojtek Przytula,V. K. Prasanna Kumar Pdf

Explores issues related to implementing artificial neural networks on programmable, massively parallel computers, and special purpose digital, programmable VLSI architectures. The nine contributions cover mapping methodologies and implementations, digital neurocomputers, and architectural building blocks. Annotation copyright by Book News, Inc., Portland, OR

Neural Networks and Systolic Array Design

Author : David Zhang,Sankar K. Pal
Publisher : World Scientific
Page : 421 pages
File Size : 43,5 Mb
Release : 2002
Category : Computers
ISBN : 9789810248406

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Neural Networks and Systolic Array Design by David Zhang,Sankar K. Pal Pdf

Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

Optimisation of Massively Parallel Neural Networks

Author : Michael Oldroyd
Publisher : Fultus Corporation
Page : 161 pages
File Size : 44,8 Mb
Release : 2004-12
Category : Neural networks (Computer science)
ISBN : 9781596820104

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Optimisation of Massively Parallel Neural Networks by Michael Oldroyd Pdf

Book Description: Most current artificial neural networks exist only within software simulators running on conventional computers. Simulators can provide great flexibility, but require immensely powerful and costly hardware for even very small networks. An artificial neural network implemented as a custom integrated circuit could operate many thousands of times faster than any simulator as each neuron can operate simultaneously. A significant problem with implementing neural networks in hardware is that larger networks require a great deal of silicon area, making them too costly to design and produce. In this book, I test the effectiveness of a number of algorithms that reduce the size of a trained neural network while maintaining accuracy. Author Biography: Michael Oldroyd is a software development veteran who started progamming professionally back in 1992. He is now development manager at AES Data Systems. He has worked as a consultant and software developer for a number of international organisations including Mobil Oil, The European Commission, Deutsche Bank, Compaq Computer, and the Cabinet Office. He has developed several bespoke AI trading and decision support tools used on trading floors in the currency, stock and energy markets. He is a professional member of the IEEE and the Computational Intelligence Society.

Neural Networks

Author : Richard Kendall Miller
Publisher : Unknown
Page : 326 pages
File Size : 44,9 Mb
Release : 1990
Category : Neural circuitry
ISBN : UOM:49015001337964

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Neural Networks by Richard Kendall Miller Pdf

Applications for neuro-computers include image processing, vision, speech recognition, fuzzy knowledge processing, data/sensor fusion, and coordination of robot motion. This volume explains the workings of neural networks and their potential applications. The products and services of 20 companies and activities of some 200 research groups in the field are assessed. The bibliography contains more than 400 citations. Annotation copyrighted by Book News, Inc., Portland, OR

Parallel and Distributed Processing

Author : Jose Rolim
Publisher : Springer Science & Business Media
Page : 1194 pages
File Size : 40,8 Mb
Release : 1998-03-18
Category : Computers
ISBN : 3540643591

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Parallel and Distributed Processing by Jose Rolim Pdf

This book constitutes the refereed proceedings of 10 international workshops held in conjunction with the merged 1998 IPPS/SPDP symposia, held in Orlando, Florida, US in March/April 1998. The volume comprises 118 revised full papers presenting cutting-edge research or work in progress. In accordance with the workshops covered, the papers are organized in topical sections on reconfigurable architectures, run-time systems for parallel programming, biologically inspired solutions to parallel processing problems, randomized parallel computing, solving combinatorial optimization problems in parallel, PC based networks of workstations, fault-tolerant parallel and distributed systems, formal methods for parallel programming, embedded HPC systems and applications, and parallel and distributed real-time systems.

Artificial Neural Networks - ICANN 2008

Author : Vera Kurkova-Pohlova,Jan Koutnik
Publisher : Springer
Page : 986 pages
File Size : 47,8 Mb
Release : 2008-08-29
Category : Computers
ISBN : 9783540875598

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Artificial Neural Networks - ICANN 2008 by Vera Kurkova-Pohlova,Jan Koutnik Pdf

This two volume set LNCS 5163 and LNCS 5164 constitutes the refereed proceedings of the 18th International Conference on Artificial Neural Networks, ICANN 2008, held in Prague Czech Republic, in September 2008. The 200 revised full papers presented were carefully reviewed and selected from more than 300 submissions. The second volume is devoted to pattern recognition and data analysis, hardware and embedded systems, computational neuroscience, connectionistic cognitive science, neuroinformatics and neural dynamics. it also contains papers from two special sessions coupling, synchronies, and firing patterns: from cognition to disease, and constructive neural networks and two workshops new trends in self-organization and optimization of artificial neural networks, and adaptive mechanisms of the perception-action cycle.

Artificial Neural Networks - ICANN 96

Author : Christoph von der Malsburg
Publisher : Springer Science & Business Media
Page : 956 pages
File Size : 46,6 Mb
Release : 1996-07-10
Category : Computers
ISBN : 3540615105

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Artificial Neural Networks - ICANN 96 by Christoph von der Malsburg Pdf

This book constitutes the refereed proceedings of the sixth International Conference on Artificial Neural Networks - ICANN 96, held in Bochum, Germany in July 1996. The 145 papers included were carefully selected from numerous submissions on the basis of at least three reviews; also included are abstracts of the six invited plenary talks. All in all, the set of papers presented reflects the state of the art in the field of ANNs. Among the topics and areas covered are a broad spectrum of theoretical aspects, applications in various fields, sensory processing, cognitive science and AI, implementations, and neurobiology.

Neural Information Processing. Models and Applications

Author : Kevin K.W. Wong,B. Sumudu U. Mendis,Abdesselam Bouzerdoum
Publisher : Springer
Page : 740 pages
File Size : 54,8 Mb
Release : 2010-11-18
Category : Computers
ISBN : 9783642175343

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Neural Information Processing. Models and Applications by Kevin K.W. Wong,B. Sumudu U. Mendis,Abdesselam Bouzerdoum Pdf

The two volume set LNCS 6443 and LNCS 6444 constitutes the proceedings of the 17th International Conference on Neural Information Processing, ICONIP 2010, held in Sydney, Australia, in November 2010. The 146 regular session papers presented were carefully reviewed and selected from 470 submissions. The papers of part I are organized in topical sections on neurodynamics, computational neuroscience and cognitive science, data and text processing, adaptive algorithms, bio-inspired algorithms, and hierarchical methods. The second volume is structured in topical sections on brain computer interface, kernel methods, computational advance in bioinformatics, self-organizing maps and their applications, machine learning applications to image analysis, and applications.

The Dawn of Massively Parallel Processing in Meteorology

Author : Geerd-R. Hoffmann,Dimitris K. Maretis
Publisher : Springer Science & Business Media
Page : 386 pages
File Size : 54,5 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642840203

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The Dawn of Massively Parallel Processing in Meteorology by Geerd-R. Hoffmann,Dimitris K. Maretis Pdf

The Dawn of Massively Parallel Processing in Meteorology presents collected papers of the third workshop on this topic held at the European Centre of Medium-Range Weather Forecasts (ECMWF). It provides an insight into the state of the art in using parallel processors operationally, and allows extrapolation to other time-critical applications. It also documents the advent of massively parallel systems to cope with these applications.