CUDA for Engineers

An Introduction to High-Performance Parallel Computing

Duane Storti, Mete Yurtoglu

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English

Addison Wesley
02 November 2015

Graphics programming; Programming & scripting languages: general; Parallel processing

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 specialised 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

By: Duane Storti, Mete Yurtoglu
Imprint: Addison Wesley
Country of Publication: United States
Dimensions: Height: 234mm, Width: 187mm, Spine: 18mm
Weight: 596g
ISBN: 9780134177410
ISBN 10: 013417741X
Pages: 352
Publication Date: 02 November 2015
Audience: Professional and scholarly , College/higher education , Undergraduate , Primary
Format: Paperback
Publisher's Status: Active

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.