Download or read book Parallel Processing for Supercomputers and Artificial Intelligence written by and published by . This book was released on 1989 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallel Processing for Artificial Intelligence 1 written by L.N. Kanal and published by Elsevier. This book was released on 2014-06-28 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel processing for AI problems is of great current interest because of its potential for alleviating the computational demands of AI procedures. The articles in this book consider parallel processing for problems in several areas of artificial intelligence: image processing, knowledge representation in semantic networks, production rules, mechanization of logic, constraint satisfaction, parsing of natural language, data filtering and data mining. The publication is divided into six sections. The first addresses parallel computing for processing and understanding images. The second discusses parallel processing for semantic networks, which are widely used means for representing knowledge - methods which enable efficient and flexible processing of semantic networks are expected to have high utility for building large-scale knowledge-based systems. The third section explores the automatic parallel execution of production systems, which are used extensively in building rule-based expert systems - systems containing large numbers of rules are slow to execute and can significantly benefit from automatic parallel execution. The exploitation of parallelism for the mechanization of logic is dealt with in the fourth section. While sequential control aspects pose problems for the parallelization of production systems, logic has a purely declarative interpretation which does not demand a particular evaluation strategy. In this area, therefore, very large search spaces provide significant potential for parallelism. In particular, this is true for automated theorem proving. The fifth section considers the problem of constraint satisfaction, which is a useful abstraction of a number of important problems in AI and other fields of computer science. It also discusses the technique of consistent labeling as a preprocessing step in the constraint satisfaction problem. Section VI consists of two articles, each on a different, important topic. The first discusses parallel formulation for the Tree Adjoining Grammar (TAG), which is a powerful formalism for describing natural languages. The second examines the suitability of a parallel programming paradigm called Linda, for solving problems in artificial intelligence. Each of the areas discussed in the book holds many open problems, but it is believed that parallel processing will form a key ingredient in achieving at least partial solutions. It is hoped that the contributions, sourced from experts around the world, will inspire readers to take on these challenging areas of inquiry.

Download or read book Parallel Processing for Artificial Intelligence 3 written by J. Geller and published by Elsevier. This book was released on 1997-02-10 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third in an informal series of books about parallel processing for Artificial Intelligence, this volume is based on the assumption that the computational demands of many AI tasks can be better served by parallel architectures than by the currently popular workstations. However, no assumption is made about the kind of parallelism to be used. Transputers, Connection Machines, farms of workstations, Cellular Neural Networks, Crays, and other hardware paradigms of parallelism are used by the authors of this collection. The papers arise from the areas of parallel knowledge representation, neural modeling, parallel non-monotonic reasoning, search and partitioning, constraint satisfaction, theorem proving, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is an experience report about applications of massive parallelism which can be said to capture the spirit of a whole period of computing history. This volume provides the reader with a snapshot of the state of the art in Parallel Processing for Artificial Intelligence.

Download or read book Parallel Processing and Artificial Intelligence written by Mike Reeve and published by . This book was released on 1989-09-28 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprises papers based on an international conference held at Imperial College, London, July 1989. Topics covered include neural networks, robotics, image understanding, parallel implementations of logic languages, and parallel implementation of Lisp. Many of the papers here detail use of the INMOS transputer, and the Communicating Process Architecture on which INMOS was founded. But the theme is application of parallelism in a general way, especially in artificial intelligence.

Download or read book Parallel Processing for Artificial Intelligence 2 written by V. Kumar and published by Elsevier. This book was released on 2014-06-28 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment. Many applications have been implemented and delivered but the field is still considered to be in its infancy. This book assembles diverse aspects of research in the area, providing an overview of the current state of technology. It also aims to promote further growth across the discipline. Contributions have been grouped according to their subject: architectures (3 papers), languages (4 papers), general algorithms (6 papers), and applications (5 papers). The internationally sourced papers range from purely theoretical work, simulation studies, algorithm and architecture proposals, to implemented systems and their experimental evaluation. Since the book is a second volume in the parallel processing for AI series, it provides a continued documentation of the research and advances made in the field. The editors hope that it will inspire readers to investigate the possiblities for enhancing AI systems by parallel processing and to make new discoveries of their own!

Download or read book Parallel Computation and Computers for Artificial Intelligence written by J. S. Kowalik and published by . This book was released on 1987-12-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallel Processing for Supercomputers and Artificial Intelligence written by Kai Hwang and published by McGraw-Hill Companies. This book was released on 1989 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Memory Storage Patterns in Parallel Processing written by Mary E. Mace and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: This project had its beginnings in the Fall of 1980. At that time Robert Wagner suggested that I investigate compiler optimi zation of data organization, suitable for use in a parallel or vector machine environment. We developed a scheme in which the compiler, having knowledge of the machine's access patterns, does a global analysis of a program's operations, and automatically determines optimum organization for the data. For example, for certain architectures and certain operations, large improvements in performance can be attained by storing a matrix in row major order. However a subsequent operation may require the matrix in column major order. A determination must be made whether or not it is the best solution globally to store the matrix in row order, column order, or even have two copies of it, each organized differently. We have developed two algorithms for making this determination. The technique shows promise in a vector machine environ ment, particularly if memory interleaving is used. Supercomputers such as the Cray, the CDC Cyber 205, the IBM 3090, as well as superminis such as the Convex are possible environments for implementation.

Download or read book Vector Models for Data parallel Computing written by Guy E. Blelloch and published by MIT Press (MA). This book was released on 1990 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.

Download or read book Parallel Processing for Artificial Intelligence written by V. Kumar and published by . This book was released on 1985 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Supercomputers of Today and Tomorrow written by Richard A. Jenkins and published by Blue Ridge Summit, PA : Tab Books. This book was released on 1986 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Designing Efficient Algorithms for Parallel Computers written by Michael Jay Quinn and published by McGraw-Hill Companies. This book was released on 1987 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.

Download or read book Natural and Artificial Parallel Computation written by Michael A. Arbib and published by Mit Press. This book was released on 1990 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: These eleven contributions by leaders in the fields of neuroscience, artificial intelligence, and cognitive science cover the phenomenon of parallelism in both natural and artificial systems, from the neural architecture of the human brain to the electronic architecture of parallel computers.The brain's complex neural architecture not only supports higher mental processes, such as learning, perception, and thought, but also supervises the body's basic physiological operating system and oversees its emergency services of damage control and self-repair. By combining sound empirical observation with elegant theoretical modeling, neuroscientists are rapidly developing a detailed and convincing account of the organization and the functioning of this natural, living parallel machine. At the same time, computer scientists and engineers are devising imaginative parallel computing machines and the programming languages and techniques necessary to use them to create superb new experimental instruments for the study of all parallel systems.Michael A. Arbib is Professor of Computer Science, Neurobiology, and Physiology at the University of Southern California. J. Alan Robinson is University Professor at Syracuse University.Contents: Natural and Artificial Parallel Computation, M. A. Arbib, J. A. Robinson. The Evolution of Computing, R. E. Gomory. The Nature of Parallel Programming, P. Brinch Hansen. Toward General Purpose Parallel Computers, D. May. Applications of Parallel Supercomputers, G. E. Fox. Cooperative Computation in Brains and Computers, M. A. Arbib. Parallel Processing in the Primate Cortex, P. Goldman-Rakic. Neural Darwinism, G. M. Edelman, G. N. Reeke, Jr. How the Brain Rewires Itself, M. Merzenich. Memory-Based Reasoning, D. Waltz. Natural and Artificial Reasoning, J. A. Robinson.

Download or read book Parallel Processing for Artificial Intelligence written by Laveen N. Kanal and published by . This book was released on 1994 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Demand Bibliography written by and published by . This book was released on 1989 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Parallel Computing is Everywhere written by S. Bassini and published by IOS Press. This book was released on 2018-03-07 with total page 852 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most powerful computers work by harnessing the combined computational power of millions of processors, and exploiting the full potential of such large-scale systems is something which becomes more difficult with each succeeding generation of parallel computers. Alternative architectures and computer paradigms are increasingly being investigated in an attempt to address these difficulties. Added to this, the pervasive presence of heterogeneous and parallel devices in consumer products such as mobile phones, tablets, personal computers and servers also demands efficient programming environments and applications aimed at small-scale parallel systems as opposed to large-scale supercomputers. This book presents a selection of papers presented at the conference: Parallel Computing (ParCo2017), held in Bologna, Italy, on 12 to 15 September 2017. The conference included contributions about alternative approaches to achieving High Performance Computing (HPC) to potentially surpass exa- and zetascale performances, as well as papers on the application of quantum computers and FPGA processors. These developments are aimed at making available systems better capable of solving intensive computational scientific/engineering problems such as climate models, security applications and classic NP-problems, some of which cannot currently be managed by even the most powerful supercomputers available. New areas of application, such as robotics, AI and learning systems, data science, the Internet of Things (IoT), and in-car systems and autonomous vehicles were also covered. As always, ParCo2017 attracted a large number of notable contributions covering present and future developments in parallel computing, and the book will be of interest to all those working in the field.

Download or read book AAAI 94 written by and published by . This book was released on 1994-08 with total page 1544 pages. Available in PDF, EPUB and Kindle. Book excerpt: AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence.