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Parallel Scientific Computation

Name: Parallel Scientific Computation
Brand: Oxford University Press
SKU: 9780198788355
Price: 65.8 EUR
Availability: InStock

Автор: Bisseling, Rob H. (Professor in scientific computing, Professor in scientific computing, Mathematics Institute, Utrecht University)

Език:

Корици: С меки корици

Издател: Oxford University Press

Наличност: Външен склад

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65.80 € 128.69 лв

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation present...

Информация за книгата

Автор

Bisseling, Rob H. (Professor in scientific computing, Professor in scientific computing, Mathematics Institute, Utrecht University)

Език

Английски език

Корици

Книга - С меки корици

Издадена

2020

страници

416

EAN

9780198788355

ISBN

0198788355

Enbook ID

32627439

Издател

Oxford University Press

Теглоt

660

Размери

233 x 156 x 25

Пълно описание

Building upon the wide-ranging success of the first edition, Parallel Scientific Computation presents a single unified approach to using a range of parallel computers, from a small desktop computer to a massively parallel computer. The author explains how to use the bulk synchronous parallel (BSP) model to design and implement parallel algorithms in the areas of scientific computing and big data, and provides a full treatment of core problems in these areas, starting from a high-level problem description, via a sequential solution algorithm to a parallel solution algorithm and an actual parallel program written in BSPlib. Every chapter of the book contains a theoretical section and a practical section presenting a parallel program and numerical experiments on a modern parallel computer to put the theoretical predictions and cost analysis to the test. Every chapter also presents extensive bibliographical notes with additional discussions and pointers to relevant literature, and numerous exercises which are suitable as graduate student projects. The second edition provides new material relevant for big-data science such as sorting and graph algorithms, and it provides a BSP approach towards new hardware developments such as hierarchical architectures with both shared and distributed memory. A single, simple hybrid BSP system suffices to handle both types of parallelism efficiently, and there is no need to master two systems, as often happens in alternative approaches. Furthermore, the second edition brings all algorithms used up to date, and it includes new material on high-performance linear system solving by LU decomposition, and improved data partitioning for sparse matrix computations. The book is accompanied by a software package BSPedupack, freely available online from the author's homepage, which contains all programs of the book and a set of test driver programs. This package written in C can be run using modern BSPlib implementations such as MulticoreBSP for C or BSPonMPI.

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