**Author**: Ananth Grama

**Publisher:** Pearson Education

**ISBN:** 9780201648652

**Category : **Computers

**Languages : **en

**Pages : **636

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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**: Ananth Grama

**Publisher:** Pearson Education

**ISBN:** 9780201648652

**Category : **Computers

**Languages : **en

**Pages : **636

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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**: Peter Pacheco

**Publisher:** Morgan Kaufmann

**ISBN:** 012804618X

**Category : **Computers

**Languages : **en

**Pages : **496

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**Book Description**
An Introduction to Parallel Programming, Second Edition presents a tried-and-true tutorial approach that shows students how to develop effective parallel programs with MPI, Pthreads and OpenMP. As the first undergraduate text to directly address compiling and running parallel programs on multi-core and cluster architecture, this second edition carries forward its clear explanations for designing, debugging and evaluating the performance of distributed and shared-memory programs while adding coverage of accelerators via new content on GPU programming and heterogeneous programming. New and improved user-friendly exercises teach students how to compile, run and modify example programs. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Explains how to develop parallel programs using MPI, Pthreads and OpenMP programming models A robust package of online ancillaries for instructors and students includes lecture slides, solutions manual, downloadable source code, and an image bank New to this edition: New chapters on GPU programming and heterogeneous programming New examples and exercises related to parallel algorithms

**Author**: Roman Trobec

**Publisher:** Springer

**ISBN:** 3319988336

**Category : **Computers

**Languages : **en

**Pages : **256

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**Book Description**
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.

**Author**: Zbigniew J. Czech

**Publisher:** Cambridge University Press

**ISBN:** 1107174392

**Category : **Computers

**Languages : **en

**Pages : **354

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**Book Description**
A comprehensive guide for students and practitioners to parallel computing models, processes, metrics, and implementation in MPI and OpenMP.

**Author**: Wesley Petersen

**Publisher:** OUP Oxford

**ISBN:** 019151361X

**Category : **Computers

**Languages : **en

**Pages : **278

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**Book Description**
In the last few years, courses on parallel computation have been developed and offered in many institutions in the UK, Europe and US as a recognition of the growing significance of this topic in mathematics and computer science. There is a clear need for texts that meet the needs of students and lecturers and this book, based on the author's lecture at ETH Zurich, is an ideal practical student guide to scientific computing on parallel computers working up from a hardware instruction level, to shared memory machines, and finally to distributed memory machines. Aimed at advanced undergraduate and graduate students in applied mathematics, computer science, and engineering, subjects covered include linear algebra, fast Fourier transform, and Monte-Carlo simulations, including examples in C and, in some cases, Fortran. This book is also ideal for practitioners and programmers.

**Author**: Grama

**Publisher:** Pearson Education India

**ISBN:** 9788131708071

**Category : **
**Languages : **en

**Pages : **
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**Book Description**

**Author**: Vipin Kumar

**Publisher:** Addison Wesley Longman

**ISBN:**
**Category : **Computers

**Languages : **en

**Pages : **597

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**Book Description**
Take advantage of the power of parallel computers with this comprehensive introduction to methods for the design, implementation, and analysis of parallel algorithms. You'll examine many important core topics, including sorting and graph algorithms, discrete optimization techniques, and scientific computing applications, as you consider parallel algorithms for realistic machine models. Features: presents parallel algorithms as a small set of basic data communication operations in order to simplify their design and increase understanding; emphasizes practical issues of performance, efficiency, and scalability; provides a self-contained discussion of the basic concepts of parallel computer architectures; covers algorithms for scientific computation, such as dense and sparse matrix computations, linear system solving, finite elements, and FFT; discusses algorithms for combinatorial optimization, including branch-and-bound, heuristic search, and dynamic programming; incorporates illustrative examples of parallel programs for commercially available computers; and contains extensive figures and examples that illustrate the workings of algorithms on different architectures.

**Author**: Ted G. Lewis

**Publisher:**
**ISBN:**
**Category : **Computers

**Languages : **en

**Pages : **433

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**Book Description**
Mathematics of Computing -- Parallelism.

**Author**: Peter Pacheco

**Publisher:** Morgan Kaufmann

**ISBN:** 9781558603394

**Category : **Computers

**Languages : **en

**Pages : **418

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**Book Description**
Mathematics of Computing -- Parallelism.

**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.