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: 31 December 2015
Audience:
Professional and scholarly
,
College/higher education
,
Undergraduate
,
Primary
Format: Paperback
Publisher's Status: Active
Chapter 1: First Steps Chapter 2: CUDA Essentials Chapter 3: From Loops to Grids Chapter 4: 2D Grids and Interactive Graphics Chapter 5: Stencils and Shared Memory Chapter 6: Reduction and Atomic Functions Chapter 7: Interacting with 3D Data Chapter 8: Using CUDA Libraries Chapter 9: Exploring the CUDA Ecosystem Appendix A: Hardware Setup Appendix B: Software Setup Appendix C: Need-to-Know C Programming Appendix D: CUDA Practicalities: Timing, Profiling, Error Handling, and Debugging Index
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.
