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Computing with T.Node Parallel Architecture

Author: D. Heidrich

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 264

ISBN-13: 9401134960

Parallel processing is seen today as the means to improve the power of computing facilities by breaking the Von Neumann bottleneck of conventional sequential computer architectures. By defining appropriate parallel computation models definite advantages can be obtained. Parallel processing is the center of the research in Europe in the field of Information Processing Systems so the CEC has funded the ESPRIT Supemode project to develop a low cost, high performance, multiprocessor machine. The result of this project is a modular, reconfigurable architecture based on !NMOS transputers: T.Node. This machine can be considered as a research, industrial and commercial success. The CEC has decided to continue to encourage manufacturers as well as research and end-users of transputers by funding other projects in this field. This book presents course papers of the Eurocourse given at the Joint Research Centre in ISPRA (Italy) from the 4th to 8 of November 1991. First we present an overview of various trends in the design of parallel architectures and specially of the T.Node with it's software development environments, new distributed system aspects and also new hardware extensions based on the !NMOS T9000 processor. In a second part, we review some real case applications in the field of image synthesis, image processing, signal processing, terrain modeling, particle physics simulation and also enhanced parallel and distributed numerical methods on T.Node.

Computing with T.Node Parallel Architecture. COMPUTER AND INFORMATION SCIENCE VOLUME 3

Author:

Publisher:

Published: 1991

Total Pages:

ISBN-13:

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Parallel Computer Architecture

Author: David Culler

Publisher: Gulf Professional Publishing

Published: 1999

Total Pages: 1056

ISBN-13: 1558603433

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This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.

Computing with Parallel Architecture: T.Node

Author: D. Gassilloud

Publisher: Springer

Published: 1991-03-31

Total Pages: 260

ISBN-13:

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Based on the Lectures given during the Eurocourse on `Computing with Parallel Architectures' held at the Joint Research Centre Ispra, Italy, September 10-14, 1990

Advanced Computer Architecture and Parallel Processing

Author: Hesham El-Rewini

Publisher: John Wiley & Sons

Published: 2005-04-08

Total Pages: 288

ISBN-13: 0471478393

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Computer architecture deals with the physical configuration, logical structure, formats, protocols, and operational sequences for processing data, controlling the configuration, and controlling the operations over a computer. It also encompasses word lengths, instruction codes, and the interrelationships among the main parts of a computer or group of computers. This two-volume set offers a comprehensive coverage of the field of computer organization and architecture.

PARALLEL COMPUTERS ARCHITECTURE AND PROGRAMMING

Author: V. Rajaraman,

Publisher: PHI Learning Pvt. Ltd.

Published: 2016-03-11

Total Pages: 493

ISBN-13: 8120352629

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Today all computers, from tablet/desktop computers to super computers, work in parallel. A basic knowledge of the architecture of parallel computers and how to program them, is thus, essential for students of computer science and IT professionals. In its second edition, the book retains the lucidity of the first edition and has added new material to reflect the advances in parallel computers. It is designed as text for the final year undergraduate students of computer science and engineering and information technology. It describes the principles of designing parallel computers and how to program them. This second edition, while retaining the general structure of the earlier book, has added two new chapters, ‘Core Level Parallel Processing’ and ‘Grid and Cloud Computing’ based on the emergence of parallel computers on a single silicon chip popularly known as multicore processors and the rapid developments in Cloud Computing. All chapters have been revised and some chapters are re-written to reflect the emergence of multicore processors and the use of MapReduce in processing vast amounts of data. The new edition begins with an introduction to how to solve problems in parallel and describes how parallelism is used in improving the performance of computers. The topics discussed include instruction level parallel processing, architecture of parallel computers, multicore processors, grid and cloud computing, parallel algorithms, parallel programming, compiler transformations, operating systems for parallel computers, and performance evaluation of parallel computers.

Programming Models for Parallel Computing

Author: Pavan Balaji

Publisher: MIT Press

Published: 2015-11-06

Total Pages: 488

ISBN-13: 0262528819

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An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng

Parallel Computing

Author: Moreshwar R. Bhujade

Publisher: New Age International

Published: 1995

Total Pages: 210

ISBN-13: 9788122406849

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Parallel Computing Deals With The Topics Of Current Interests In Parallel Processing Architectures (Synchronous Parallel Architectures). The Synchronous Model Of Parallel Processing Is Based On Two Orthogonal Fundamental Ideas, Viz.,1. Temporal Parallelism (Pipeline Processing), And2. Spatial Parallelism (Simd Parallel Processing).This Book Is Devoted To An Indepth Treatment Of Both Of The Above Ideas. The Primary Goal Here Is To Provide A Deeper Understanding Of The Ideas And Principles Involved And Not The Description Of Machines Which Could Be Found Elsewhere. The Material Presented In This Book Has Evolved Through The Advanced Courses Taught By The Author In Architecture And Parallel Processing. A One Semester Advanced Course Can Be Planned Employing The Material From This Book, Supplemented By The Papers Of Current Interests From Current Technical Literature.

Parallel Computer Organization and Design

Author: Michel Dubois

Publisher: Cambridge University Press

Published: 2012-08-30

Total Pages: 561

ISBN-13: 0521886759

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A design-oriented text for advanced computer architecture courses, covering parallelism, complexity, power, reliability and performance.

Parallel Computing: Software Technology, Algorithms, Architectures & Applications

Author: Gerhard Joubert

Publisher: Elsevier

Published: 2004-09-23

Total Pages: 984

ISBN-13: 9780080538433

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Advances in Parallel Computing series presents the theory and use of of parallel computer systems, including vector, pipeline, array, fifth and future generation computers and neural computers. This volume features original research work, as well as accounts on practical experience with and techniques for the use of parallel computers.