Practical Parallel Computing

2014-05-10
 |  Computers
Practical Parallel Computing

Author: H. Stephen Morse

Publisher: Academic Press

ISBN: 9781483214191

Category: Computers

Page: 420

View: 337

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Practical Parallel Computing provides information pertinent to the fundamental aspects of high-performance parallel processing. This book discusses the development of parallel applications on a variety of equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the technology trends that converge to favor massively parallel hardware over traditional mainframes and vector machines. This text then gives a tutorial introduction to parallel hardware architectures. Other chapters provide worked-out examples of programs using several parallel languages. This book deals as well with benchmarking and performance estimation on parallel machines. The final chapter provides a structured, flexible methodology for selecting a parallel machine and for integrating it into operations. This book is a valuable resource for readers who are confronted with the practical realities of parallel computing for the first time. Mid-level technical managers, algorithm designers, computer scientists, and doctorate-level mathematicians will also find this book extremely useful.

Parallel Programming

2017-11-20
 |  Computers
Parallel Programming

Author: Bertil Schmidt

Publisher: Morgan Kaufmann

ISBN: 9780128044865

Category: Computers

Page: 416

View: 653

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Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors’ open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings. Covers parallel programming approaches for single computer nodes and HPC clusters: OpenMP, multithreading, SIMD vectorization, MPI, UPC++ Contains numerous practical parallel programming exercises Includes access to an automated code evaluation tool that enables students the opportunity to program in a web browser and receive immediate feedback on the result validity of their program Features an example-based teaching of concept to enhance learning outcomes

Introduction to Parallel Computing

2018-09-27
 |  Computers
Introduction to Parallel Computing

Author: Roman Trobec

Publisher: Springer

ISBN: 9783319988337

Category: Computers

Page: 256

View: 697

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Advancements in microprocessor architecture, interconnection technology, and software development have fueled rapid growth in parallel and distributed computing. However, this development is only of practical benefit if it is accompanied by progress in the design, analysis and programming of parallel algorithms. This concise textbook provides, in one place, three mainstream parallelization approaches, Open MPP, MPI and OpenCL, for multicore computers, interconnected computers and graphical processing units. An overview of practical parallel computing and principles will enable the reader to design efficient parallel programs for solving various computational problems on state-of-the-art personal computers and computing clusters. Topics covered range from parallel algorithms, programming tools, OpenMP, MPI and OpenCL, followed by experimental measurements of parallel programs’ run-times, and by engineering analysis of obtained results for improved parallel execution performances. Many examples and exercises support the exposition.

Practical Parallel Programming

2014-06-28
 |  Computers
Practical Parallel Programming

Author: Barr E. Bauer

Publisher: Academic Press

ISBN: 9780080916453

Category: Computers

Page: 455

View: 461

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This is the book that will teach programmers to write faster, more efficient code for parallel processors. The reader is introduced to a vast array of procedures and paradigms on which actual coding may be based. Examples and real-life simulations using these devices are presented in C and FORTRAN.

Practical Parallel Computing

2001
 |  Parallel processing (Electronic computers)
Practical Parallel Computing

Author: Marcin Paprzycki

Publisher: Nova Biomedical Books

ISBN: UOM:39015054435295

Category: Parallel processing (Electronic computers)

Page: 208

View: 976

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These ten papers represent a range of applications for the practical use of parallel computing. They address large scale high performance applications, data transfer and storage cost minimisation, two-stroke engine applications, large air pollution models, parallel global aircraft configuration design, parallel execution time analysis, parallel randomised heuristics, the analysis of complex waveguide circuits, reading database copy, and business process re-engineering.

Parallel Computing

1995
 |  Computers
Parallel Computing

Author: Jonathan P. Gray

Publisher: IOS Press

ISBN: 9051991967

Category: Computers

Page: 312

View: 219

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The broadening of interest in parallel computing and transputers is reflected this book. Topics discussed include: concurrent programming; graphics and image processing; parallel applications; robotics; and control and software tools. The book also features a collection of abstracts of poster presentations.

Practical Parallel Computing

1991
 |  Computers
Practical Parallel Computing

Author: Paul Messina

Publisher: John Wiley & Sons Incorporated

ISBN: UOM:39015025168520

Category: Computers

Page: 272

View: 307

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This is a special issue of the journal Concurrency: Practice and Experience. It synthesizes contributions from researchers at the forefront of this leading-edge technology and reports the latest results from internationally renowned research centers. Describes actual experiences in solving a wide range of scientific and computationally-intensive problems. Discusses such state of the art systems as massively parallel computers, parallel and distributed object-oriented systems and various types of connection machines. Includes applications from disciplines ranging from neural networking to image analysis, fluid flows and seismic modeling.

Parallel Computing Works!

2014-06-28
 |  Computers
Parallel Computing Works!

Author: Geoffrey C. Fox

Publisher: Elsevier

ISBN: 9780080513515

Category: Computers

Page: 977

View: 944

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A clear illustration of how parallel computers can be successfully applied to large-scale scientific computations. This book demonstrates how a variety of applications in physics, biology, mathematics and other sciences were implemented on real parallel computers to produce new scientific results. It investigates issues of fine-grained parallelism relevant for future supercomputers with particular emphasis on hypercube architecture. The authors describe how they used an experimental approach to configure different massively parallel machines, design and implement basic system software, and develop algorithms for frequently used mathematical computations. They also devise performance models, measure the performance characteristics of several computers, and create a high-performance computing facility based exclusively on parallel computers. By addressing all issues involved in scientific problem solving, Parallel Computing Works! provides valuable insight into computational science for large-scale parallel architectures. For those in the sciences, the findings reveal the usefulness of an important experimental tool. Anyone in supercomputing and related computational fields will gain a new perspective on the potential contributions of parallelism. Includes over 30 full-color illustrations.

Parallel Computing on Heterogeneous Networks

2008-05-02
 |  Computers
Parallel Computing on Heterogeneous Networks

Author: Alexey L. Lastovetsky

Publisher: John Wiley & Sons

ISBN: 9780470349489

Category: Computers

Page: 440

View: 516

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New approaches to parallel computing are being developed that make better use of the heterogeneous cluster architecture Provides a detailed introduction to parallel computing on heterogenous clusters All concepts and algorithms are illustrated with working programs that can be compiled and executed on any cluster The algorithms discussed have practical applications in a range of real-life parallel computing problems, such as the N-body problem, portfolio management, and the modeling of oil extraction

Opportunities and Constraints of Parallel Computing

2012-12-06
 |  Computers
Opportunities and Constraints of Parallel Computing

Author: Jorge L.C. Sanz

Publisher: Springer Science & Business Media

ISBN: 9781461396680

Category: Computers

Page: 166

View: 843

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At the initiative of the IBM Almaden Research Center and the National Science Foundation, a workshop on "Opportunities and Constraints of Parallel Computing" was held in San Jose, California, on December 5-6, 1988. The Steering Committee of the workshop consisted of Prof. R. Karp (University of California at Berkeley), Prof. L. Snyder (University of Washington at Seattle), and Dr. J. L. C. Sanz (IBM Almaden Research Center). This workshop was intended to provide a vehicle for interaction for people in the technical community actively engaged in research on parallel computing. One major focus of the workshop was massive parallelism, covering theory and models of computing, algorithm design and analysis, routing architectures and interconnection networks, languages, and application requirements. More conventional issues involving the design and use of parallel computers with a few dozen processors were not addressed at the meeting. A driving force behind the realization of this workshop was the need for interaction between theoreticians and practitioners of parallel computation. Therefore, a group of selected participants from the theory community was invited to attend, together with well-known colleagues actively involved in parallelism from national laboratories, government agencies, and industry.