Massively Parallel, Optical, and Neural Computing in the United States

Massively Parallel, Optical, and Neural Computing in the United States PDF Author: Gilbert Kalb
Publisher: IOS Press
ISBN: 9789051990973
Category : Computers
Languages : en
Pages : 220

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Book Description
A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.

Massively Parallel, Optical, and Neural Computing in the United States

Massively Parallel, Optical, and Neural Computing in the United States PDF Author: Gilbert Kalb
Publisher: IOS Press
ISBN: 9789051990973
Category : Computers
Languages : en
Pages : 220

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Book Description
A survey of products and research projects in the field of highly parallel, optical and neural computers in the USA. It covers operating systems, language projects and market analysis, as well as optical computing devices and optical connections of electronic parts.

Massively Parallel, Optical, and Neural Computing in Japan

Massively Parallel, Optical, and Neural Computing in Japan PDF Author: Ulrich Wattenberg
Publisher: IOS Press
ISBN: 9789051990980
Category : Computers
Languages : en
Pages : 176

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Book Description
A survey of products and research projects in the field of highly parallel, optical and neural computers in Japan. The research activities are listed by type of organization, eg universities and public research organizations, and by industry.

Massively parallel, optical, and neural computing

Massively parallel, optical, and neural computing PDF Author: Gilbert Kalb
Publisher:
ISBN:
Category :
Languages : en
Pages : 205

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Book Description


Parallel Computing Using Optical Interconnections

Parallel Computing Using Optical Interconnections PDF Author: Keqin Li
Publisher: Springer Science & Business Media
ISBN: 0585272689
Category : Computers
Languages : en
Pages : 293

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Book Description
Advances in optical technologies have made it possible to implement optical interconnections in future massively parallel processing systems. Photons are non-charged particles, and do not naturally interact. Consequently, there are many desirable characteristics of optical interconnects, e.g. high speed (speed of light), increased fanout, high bandwidth, high reliability, longer interconnection lengths, low power requirements, and immunity to EMI with reduced crosstalk. Optics can utilize free-space interconnects as well as guided wave technology, neither of which has the problems of VLSI technology mentioned above. Optical interconnections can be built at various levels, providing chip-to-chip, module-to-module, board-to-board, and node-to-node communications. Massively parallel processing using optical interconnections poses new challenges; new system configurations need to be designed, scheduling and data communication schemes based on new resource metrics need to be investigated, algorithms for a wide variety of applications need to be developed under the novel computation models that optical interconnections permit, and so on. Parallel Computing Using Optical Interconnections is a collection of survey articles written by leading and active scientists in the area of parallel computing using optical interconnections. This is the first book which provides current and comprehensive coverage of the field, reflects the state of the art from high-level architecture design and algorithmic points of view, and points out directions for further research and development.

Fifth International Conference on Massively Parallel Processing

Fifth International Conference on Massively Parallel Processing PDF Author: Lennart Johnsson
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN: 9780818685729
Category : Computers
Languages : en
Pages : 262

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Book Description
This text covers the subjects of computer architecture and parallel and high-performance computing. Topics include: free-space optical interconnect systems; design and analysis of optical interconnects; interconnect system analysis; and fiber-based interconnects.

Proceedings of the Second International Conference on Massively Parallel Processing Using Optical Interconnections, October 23-24, 1995, San Antonio, Texas

Proceedings of the Second International Conference on Massively Parallel Processing Using Optical Interconnections, October 23-24, 1995, San Antonio, Texas PDF Author: Eugen Schenfeld
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 392

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Book Description
Annotation Offers eight invited lectures by contributors from academia and industry in the fields of parallel computer systems, optical interconnections, and technology; two panel discussions; and 34 papers by contributors from throughout the world. In addition to reporting on recent advances in the field, they speculate on how optical interconnections might impact the design of parallel computer systems and communication networks, and the writing of applications and algorithms. Among the topics are reconfigurable architectures, embedding and mapping of applications and algorithms, the packaging and layout of optical interconnections, passive optical elements, data distribution and partitioning, and cost/performance studies. No subject index. Annotation copyright by Book News, Inc., Portland, OR.

Pattern Recognition by Self-organizing Neural Networks

Pattern Recognition by Self-organizing Neural Networks PDF Author: Gail A. Carpenter
Publisher: MIT Press
ISBN: 9780262031769
Category : Computers
Languages : en
Pages : 724

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Book Description
Pattern Recognition by Self-Organizing Neural Networks presentsthe most recent advances in an area of research that is becoming vitally important in the fields ofcognitive science, neuroscience, artificial intelligence, and neural networks in general. The 19articles take up developments in competitive learning and computational maps, adaptive resonancetheory, and specialized architectures and biological connections. Introductorysurvey articles provide a framework for understanding the many models involved in various approachesto studying neural networks. These are followed in Part 2 by articles that form the foundation formodels of competitive learning and computational mapping, and recent articles by Kohonen, applyingthem to problems in speech recognition, and by Hecht-Nielsen, applying them to problems in designingadaptive lookup tables. Articles in Part 3 focus on adaptive resonance theory (ART) networks,selforganizing pattern recognition systems whose top-down template feedback signals guarantee theirstable learning in response to arbitrary sequences of input patterns. In Part 4, articles describeembedding ART modules into larger architectures and provide experimental evidence fromneurophysiology, event-related potentials, and psychology that support the prediction that ARTmechanisms exist in the brain. Contributors: J.-P. Banquet, G.A. Carpenter, S.Grossberg, R. Hecht-Nielsen, T. Kohonen, B. Kosko, T.W. Ryan, N.A. Schmajuk, W. Singer, D. Stork, C.von der Malsburg, C.L. Winter.

Scientific Information Bulletin

Scientific Information Bulletin PDF Author:
Publisher:
ISBN:
Category : Research
Languages : en
Pages : 722

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Book Description


Brain-Like and Massively-Parallel Computers

Brain-Like and Massively-Parallel Computers PDF Author: Branko Soucek
Publisher: Wiley-Interscience
ISBN:
Category : Computers
Languages : en
Pages : 488

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Book Description
This book is designed to serve as a textbook/reference in psychological/intelligent/neural/knowledge engineering and its related technologies.

Massively Parallel Artificial Intelligence

Massively Parallel Artificial Intelligence PDF Author: Hiroaki Kitano
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 450

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Book Description
The increased sophistication and availability of massively parallel supercomputers has had two major impacts on research in artificial intelligence, both of which are addressed in this collection of exciting new AI theories and experiments. Massively parallel computers have been used to push forward research in traditional AI topics such as vision, search, and speech. More important, these machines allow AI to expand in exciting new ways by taking advantage of research in neuroscience and developing new models and paradigms, among them associate memory, neural networks, genetic algorithms, artificial life, society-of-mind models, and subsumption architectures.A number of chapters show that massively parallel computing enables AI researchers to handle significantly larger amounts of data in real time, which changes the way that AI systems can be built, which in turn makes memory-based reasoning and neural-network-based vision systems become practical. Other chapters present the contrasting view that massively parallel computing provides a platform to model and build intelligent systems by simulating the (massively parallel) processes that occur in nature.