Data-parallel Programming on MIMD Computers PDF Download

Author: Philip J. Hatcher
Publisher: MIT Press
ISBN: 9780262082051
Category : Computers
Languages : en
Pages : 262

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Book Description
Mathematics of Computing -- Parallelism.

Author: R.Michael Hord
Publisher: CRC Press
ISBN: 1351092235
Category : Computers
Languages : en
Pages : 489

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Book Description
Parallel Supercomputing in MIMD Architectures is devoted to supercomputing on a wide variety of Multiple-Instruction-Multiple-Data (MIMD)-class parallel machines. This book describes architectural concepts, commercial and research hardware implementations, major programming concepts, algorithmic methods, representative applications, and benefits and drawbacks. Commercial machines described include Connection Machine 5, NCUBE, Butterfly, Meiko, Intel iPSC, iPSC/2 and iWarp, DSP3, Multimax, Sequent, and Teradata. Research machines covered include the J-Machine, PAX, Concert, and ASP. Operating systems, languages, translating sequential programs to parallel, and semiautomatic parallelizing are aspects of MIMD software addressed in Parallel Supercomputing in MIMD Architectures. MIMD issues such as scalability, partitioning, processor utilization, and heterogenous networks are discussed as well.This book is packed with important information and richly illustrated with diagrams and tables, Parallel Supercomputing in MIMD Architectures is an essential reference for computer professionals, program managers, applications system designers, scientists, engineers, and students in the computer sciences.

Author: Bruce P. Lester
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 410

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Book Description
Mathematics of Computing -- Parallelism.

Author: D. B. Skillicorn
Publisher: Cambridge University Press
ISBN: 9780521455114
Category : Computers
Languages : en
Pages : 214

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Book Description
This is the first comprehensive account of this new approach to the fundamentals of parallel programming.

Author: Barry Wilkinson
Publisher: Pearson
ISBN: 9780131405639
Category : Parallel programming
Languages : en
Pages : 0

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Book Description
Designed for undergraduate/graduate-level parallel programming courses. This nontheoretical text - which is linked to real parallel programming software - covers the techniques of parallel programming in a practical manner that enables students to write and evaluate their parallel programs

Author: Thomas Bräunl
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 294

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Book Description
This introduction to parallel programming explores the fundamentals of parallelism, parallel system architecture (MIMD and SIMD), and parallel programming languages, and presents methods for designing parallel algorithms, for writing efficient parallel programs, and for computing performance data and judging it.

Author: M. Sasikumar
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120350316
Category : Computers
Languages : en
Pages : 276

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Book Description
Written with a straightforward and student-centred approach, this extensively revised, updated and enlarged edition presents a thorough coverage of the various aspects of parallel processing including parallel processing architectures, programmability issues, data dependency analysis, shared memory programming, thread-based implementation, distributed computing, algorithms, parallel programming languages, debugging, parallelism paradigms, distributed databases as well as distributed operating systems. The book, now in its second edition, not only provides sufficient practical exposure to the programming issues but also enables its readers to make realistic attempts at writing parallel programs using easily available software tools. With all the latest information incorporated and several key pedagogical attributes included, this textbook is an invaluable learning tool for the undergraduate and postgraduate students of computer science and engineering. It also caters to the students pursuing master of computer application. What’s New to the Second Edition • A new chapter named Using Parallelism Effectively has been added covering a case study of parallelising a sorting program, and introducing commonly used parallelism models. • Sections describing the map-reduce model, top-500.org initiative, Indian efforts in supercomputing, OpenMP system for shared memory programming, etc. have been added. • Numerous sections have been updated with current information. • Several questions have been incorporated in the chapter-end exercises to guide students from examination and practice points of view.

Author: Ananth Grama
Publisher: Pearson Education
ISBN: 9780201648652
Category : Computers
Languages : en
Pages : 664

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Book Description
A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.

Author: Seyed H Roosta
Publisher: Springer Science & Business Media
ISBN: 1461212200
Category : Computers
Languages : en
Pages : 579

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Book Description
Motivation It is now possible to build powerful single-processor and multiprocessor systems and use them efficiently for data processing, which has seen an explosive ex pansion in many areas of computer science and engineering. One approach to meeting the performance requirements of the applications has been to utilize the most powerful single-processor system that is available. When such a system does not provide the performance requirements, pipelined and parallel process ing structures can be employed. The concept of parallel processing is a depar ture from sequential processing. In sequential computation one processor is in volved and performs one operation at a time. On the other hand, in parallel computation several processors cooperate to solve a problem, which reduces computing time because several operations can be carried out simultaneously. Using several processors that work together on a given computation illustrates a new paradigm in computer problem solving which is completely different from sequential processing. From the practical point of view, this provides sufficient justification to investigate the concept of parallel processing and related issues, such as parallel algorithms. Parallel processing involves utilizing several factors, such as parallel architectures, parallel algorithms, parallel programming lan guages and performance analysis, which are strongly interrelated. In general, four steps are involved in performing a computational problem in parallel. The first step is to understand the nature of computations in the specific application domain.

Author: George S. Almasi
Publisher: Addison Wesley Longman
ISBN:
Category : Computers
Languages : en
Pages : 726

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Book Description
This second edition includes new exercises for each chapter, a quantitative treatment of speedup, seismic migration, using a workstation network as a parallel computer, recent changes in technology, more languages, fat trees, wormhole switching, new SIMD hardware, an expanded section on CM-2, new MIMD hardware, using workstation clusters as a MIMD system, and directory based caches. Annotation copyright by Book News, Inc., Portland, OR