BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

International Edition

Intl. Ed.

Cuda For Engineers: An Introduction To HighPerformance Parallel Computing

Intl. Ed.

Cuda For Engineers: An Introduction To HighPerformance Parallel Computing Paperback - 2015

by Mete Yurtoglu, Duane Storti

Add to wish list
  • New
  • Paperback
New
International Edition

Description

New/New. Brand New Paperback International Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!
Ask the seller a question Add to wish list
A$51.40
A$21.51 Delivery to USA
Standard delivery: 7 to 14 days
More delivery options
Ships from Students Textbooks (India)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Cuda For Engineers: An Introduction To HighPerformance Parallel Computing
  • Author Mete Yurtoglu, Duane Storti
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 352
  • Volumes 1
  • Language ENG
  • Publisher Addison-Wesley Professional
  • Publication date 2015-11-12
  • Features Bibliography, Index
  • Bookseller's Inventory # BIBNN-7369
  • ISBN 9780134177410 / 013417741X
  • Weight 1.2 lbs (0.54 kg)
  • Dimensions 9.2 x 7.4 x 0.7 in (23.37 x 18.80 x 1.78 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects Parallel computers, CUDA (Computer architecture)
  • Library of Congress Catalogue Number 2015034266
  • Dewey Decimal Code 004.35
  • Quantity available 5

About Students Textbooks India

Specialising in: International Edition., Textbooks
Biblio member since 2009

Selling textbooks, International editions and reference books online from last 5 Years.

Terms of Sale:

30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged. Return address: Students_Textbooks 12 phankha road Jankpuri New Delhi 110036 India

Browse books from Students Textbooks

Reader reviews for Cuda For Engineers: An Introduction To HighPerformance Parallel Computing

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.

The authors introduce the essentials of CUDA C programming clearly and concisely, quickly guiding you from running sample programs to building your own code. Throughout, you'll learn from complete examples you can build, run, and modify, complemented by additional projects that deepen your understanding. All projects are fully developed, with detailed building instructions for all major platforms.

Ideal for any scientist, engineer, or student with at least introductory programming experience, this guide assumes no specialized background in GPU-based or parallel computing. In an appendix, the authors also present a refresher on C programming for those who need it.

Coverage includes

  • Preparing your computer to run CUDA programs
  • Understanding CUDA's parallelism model and C extensions
  • Transferring data between CPU and GPU
  • Managing timing, profiling, error handling, and debugging
  • Creating 2D grids
  • Interoperating with OpenGL to provide real-time user interactivity
  • Performing basic simulations with differential equations
  • Using stencils to manage related computations across threads
  • Exploiting CUDA's shared memory capability to enhance performance
  • Interacting with 3D data: slicing, volume rendering, and ray casting
  • Using CUDA libraries
  • Finding more CUDA resources and code

Realistic example applications include

  • Visualizing functions in 2D and 3D
  • Solving differential equations while changing initial or boundary conditions
  • Viewing/processing images or image stacks
  • Computing inner products and centroids
  • Solving systems of linear algebraic equations
  • Monte-Carlo computations

About the author

Duane Storti is a professor of mechanical engineering at the University of Washington in Seattle. He has thirty-five years of experience in teaching and research in the areas of engineering mathematics, dynamics and vibrations, computer-aided design, 3D printing, and applied GPU computing.

Mete Yurtoglu is currently pursuing an M.S. in applied mathematics and a Ph.D. in mechanical engineering at the University of Washington in Seattle. His research interests include GPU-based methods for computer vision and machine learning.

Please wait a moment while we load the requested page.

tracking-