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.Delves into how NVIDIA introduced CUDA, thereby making it easier to harness the true power of your PC's GPUProvides an overview of CUDA and explains how to set it upHighlights grids, blocks, threads, memory models, and moreReviews common problems, their causes, and solutionsExplores hardware revisions and discusses what they mean for programming

"NVIDIA GPU Programming" is written in a style that assumes no previous knowledge of parallel programming so you can get started using CUDA today.