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AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006)

AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006)

AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006)
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AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006) Paperback - 2006

by SHONKWILER R.W

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USA Edition . New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Details

  • Title AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006)
  • Author SHONKWILER R.W
  • Binding Paperback
  • Edition USA Edition
  • Condition New
  • Pages 300
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, New York
  • Publication date 2006-08-14
  • Features Bibliography, Index, Table of Contents
  • Bookseller's Inventory # CBS 9780521683371
  • ISBN 9780521683371 / 0521683378
  • Weight 0.96 lbs (0.44 kg)
  • Dimensions 9.02 x 6.04 x 0.68 in (22.91 x 15.34 x 1.73 cm)
  • Category Mathematics
  • Library of Congress subjects Parallel processing (Electronic computers), Vector processing (Computer science)
  • Library of Congress Catalogue Number 2006007798
  • Dewey Decimal Code 004.35
  • Quantity available 5

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Reader reviews for AN INTRODUCTION TO PARALLEL AND VECTOR SCIENTIFIC COMPUTATION (PB 2006)

From the publisher

In this text, students of applied mathematics, science and engineering are introduced to fundamental ways of thinking about the broad context of parallelism. The authors begin by giving the reader a deeper understanding of the issues through a general examination of timing, data dependencies, and communication. These ideas are implemented with respect to shared memory, parallel and vector processing, and distributed memory cluster computing. Threads, OpenMP, and MPI are covered, along with code examples in Fortran, C, and Java. The principles of parallel computation are applied throughout as the authors cover traditional topics in a first course in scientific computing. Building on the fundamentals of floating point representation and numerical error, a thorough treatment of numerical linear algebra and eigenvector/eigenvalue problems is provided. By studying how these algorithms parallelize, the reader is able to explore parallelism inherent in other computations, such as Monte Carlo methods.

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