NVIDIA GPU Programming: Massively Parallel Programming with CUDA

by Michael Dagg, Steve Cook, Michael Dagg

Learn how to switch from writing serial code to parallel code NVIDIA made it easy and understandable to program the rarely used engine inside a PC with CUDA (Compute Unified Device Architecture). It allows for a significant increase in your computer’s performance because it harnesses the power of the GPU. With this book, you’ll learn to switch on that hidden power and turbo charge your programs. CUDA specialist Shane Cook discusses the many uses for CUDA, including image and video processing, computational biology and chemistry, fluid dynamics simulation, CT image reconstruction, seismic analysis, ray tracing, and much more.

552 pages, Paperback

First published May 15, 2012