Mapping Connectionist Networks Onto Parallel Machines PDF Download
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Author: Benedict Anthony Gomes
Publisher:
ISBN:
Category :
Languages : en
Pages : 384
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Book Description
Author: Benedict Anthony Gomes
Publisher:
ISBN:
Category :
Languages : en
Pages : 384
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Book Description
Author: Rajkumar Buyya
Publisher:
ISBN:
Category : High performance computing
Languages : en
Pages : 696
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Book Description
This book offers experts on programming and applications for "commodity supercomputers." It is organized into three areas: programming environments and development tools, Java for high performance computing, and algorithms and applications. These three areas have seen major advances in recent years, and this book addresses these subjects with breadth and depth. For developers, researchers, administrators, managers, and users interested in the future of computing.
Author:
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 726
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Book Description
Author: Salim Hariri
Publisher: CRC Press
ISBN: 9780849389863
Category : Computers
Languages : en
Pages : 346
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Book Description
This three-volume work presents a compendium of current and seminal papers on parallel/distributed processing offered at the 22nd International Conference on Parallel Processing, held August 16-20, 1993 in Chicago, Illinois. Topics include processor architectures; mapping algorithms to parallel systems, performance evaluations; fault diagnosis, recovery, and tolerance; cube networks; portable software; synchronization; compilers; hypercube computing; and image processing and graphics. Computer professionals in parallel processing, distributed systems, and software engineering will find this book essential to complete their computer reference library.
Author: Sun Yuan Kung
Publisher:
ISBN:
Category : Application-specific integrated circuits
Languages : en
Pages : 832
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Book Description
Author: John F. Sowa
Publisher: Morgan Kaufmann
ISBN: 1483221148
Category : Computers
Languages : en
Pages : 595
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Book Description
Principles of Semantic Networks: Explorations in the Representation of Knowledge provides information pertinent to the theory and applications of semantic networks. This book deals with issues in knowledge representation, which discusses theoretical topics independent of particular implementations. Organized into three parts encompassing 19 chapters, this book begins with an overview of semantic network structure for representing knowledge as a pattern of interconnected nodes and arcs. This text then analyzes the concepts of subsumption and taxonomy and synthesizes a framework that integrates many previous approaches and goes beyond them to provide an account of abstract and partially defines concepts. Other chapters consider formal analyses, which treat the methods of reasoning with semantic networks and their computational complexity. This book discusses as well encoding linguistic knowledge. The final chapter deals with a formal approach to knowledge representation that builds on ideas originating outside the artificial intelligence literature in research on foundations for programming languages. This book is a valuable resource for mathematicians.
Author: Vera Kurkova
Publisher: Springer Science & Business Media
ISBN: 3709162300
Category : Computers
Languages : en
Pages : 518
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Book Description
The first ICANNGA conference, devoted to biologically inspired computational paradigms, Neural Net works and Genetic Algorithms, was held in Innsbruck, Austria, in 1993. The meeting attracted researchers from all over Europe and further afield, who decided that this particular blend of topics should form a theme for a series of biennial conferences. The second meeting, held in Ales, France, in 1995, carried on the tradition set in Innsbruck of a relaxed and stimulating environment for the. exchange of ideas. The series has continued in Norwich, UK, in 1997, and Portoroz, Slovenia, in 1999. The Institute of Computer Science, Czech Academy of Sciences, is pleased to host the fifth conference in Prague. We have chosen the Liechtenstein palace under the Prague Castle as the conference site to enhance the traditionally good atmosphere of the meeting. There is an inspirational genius loci of the historical center of the city, where four hundred years ago a fruitful combination of theoretical and empirical method, through the collaboration of Johannes Kepler and Tycho de Brahe, led to the discovery of the laws of planetary orbits.
Author: Josef Skrzypek
Publisher: Springer Science & Business Media
ISBN: 1461527368
Category : Science
Languages : en
Pages : 263
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Book Description
Neural Network Simulation Environments describes some of the best examples of neural simulation environments. All current neural simulation tools can be classified into four overlapping categories of increasing sophistication in software engineering. The least sophisticated are undocumented and dedicated programs, developed to solve just one specific problem; these tools cannot easily be used by the larger community and have not been included in this volume. The next category is a collection of custom-made programs, some perhaps borrowed from other application domains, and organized into libraries, sometimes with a rudimentary user interface. More recently, very sophisticated programs started to appear that integrate advanced graphical user interface and other data analysis tools. These are frequently dedicated to just one neural architecture/algorithm as, for example, three layers of interconnected artificial `neurons' learning to generalize input vectors using a backpropagation algorithm. Currently, the most sophisticated simulation tools are complete, system-level environments, incorporating the most advanced concepts in software engineering that can support experimentation and model development of a wide range of neural networks. These environments include sophisticated graphical user interfaces as well as an array of tools for analysis, manipulation and visualization of neural data. Neural Network Simulation Environments is an excellent reference for researchers in both academia and industry, and can be used as a text for advanced courses on the subject.
Author: Mateo Valero
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 528
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Book Description
The International Conference on Application Specific Array Processors (ASAP 91) was held September 1991, in Barcelona, Spain. Application- specific computing may be the solution to many computationally intensive problems. Coverage here includes design, mapping techniques, synthesis and verification, and systolic array designs and design methodologies. No index. Annotation copyrighted by Book News, Inc., Portland, OR.
Author: Yves Kodratoff
Publisher: Elsevier
ISBN: 0080510558
Category : Computers
Languages : en
Pages : 836
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Book Description
Machine Learning: An Artificial Intelligence Approach, Volume III presents a sample of machine learning research representative of the period between 1986 and 1989. The book is organized into six parts. Part One introduces some general issues in the field of machine learning. Part Two presents some new developments in the area of empirical learning methods, such as flexible learning concepts, the Protos learning apprentice system, and the WITT system, which implements a form of conceptual clustering. Part Three gives an account of various analytical learning methods and how analytic learning can be applied to various specific problems. Part Four describes efforts to integrate different learning strategies. These include the UNIMEM system, which empirically discovers similarities among examples; and the DISCIPLE multistrategy system, which is capable of learning with imperfect background knowledge. Part Five provides an overview of research in the area of subsymbolic learning methods. Part Six presents two types of formal approaches to machine learning. The first is an improvement over Mitchell's version space method; the second technique deals with the learning problem faced by a robot in an unfamiliar, deterministic, finite-state environment.
