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CUDA Application Design and Development

CUDA Application Design and Development

CUDA Application Design and Development Paperback - 2011 - 1st Edition

by Rob Farber

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Paperback. New. New Book; Fast Shipping from UK; Not signed; Not First Edition; As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase effic
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Details

  • Title CUDA Application Design and Development
  • Author Rob Farber
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 336
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann Publishers, U.S.A.
  • Publication date 2011-10-31
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # ria9780123884268_inp
  • ISBN 9780123884268 / 0123884268
  • Weight 1.4 lbs (0.64 kg)
  • Dimensions 9.1 x 7.4 x 1.1 in (23.11 x 18.80 x 2.79 cm)
  • Category Computers - General Information
  • Library of Congress subjects Computer architecture, Application software - Development
  • Library of Congress Catalogue Number 2011038617
  • Dewey Decimal Code 005.3
  • Quantity available 321

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Reader reviews for CUDA Application Design and Development

From the publisher

As the computer industry retools to leverage massively parallel graphics processing units (GPUs), this book is designed to meet the needs of working software developers who need to understand GPU programming with CUDA and increase efficiency in their projects. CUDA Application Design and Development starts with an introduction to parallel computing concepts for readers with no previous parallel experience, and focuses on issues of immediate importance to working software developers: achieving high performance, maintaining competitiveness, analyzing CUDA benefits versus costs, and determining application lifespan.

The book then details the thought behind CUDA and teaches how to create, analyze, and debug CUDA applications. Throughout, the focus is on software engineering issues: how to use CUDA in the context of existing application code, with existing compilers, languages, software tools, and industry-standard API libraries.

Using an approach refined in a series of well-received articles at Dr Dobb's Journal, author Rob Farber takes the reader step-by-step from fundamentals to implementation, moving from language theory to practical coding.

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