CUDA Programming
A Developer's Guide to Parallel Computing with GPUs
By- Shane Cook, Technical Director, CUDA Developer
If you need to learn CUDA but don't have experience with parallel computing, CUDA Programming: A Developer's Introduction offers a detailed guide to CUDA with a grounding in parallel fundamentals. It starts by introducing CUDA and bringing you up to speed on GPU parallelism and hardware, then delving into CUDA installation. Chapters on core concepts including threads, blocks, grids, and memory focus on both parallel and CUDA-specific issues. Later, the book demonstrates CUDA in practice for optimizing applications, adjusting to new hardware, and solving common problems.
Paperback, 600 Pages
Published: November 2012
Imprint: Morgan Kaufmann
ISBN: 978-0-12-415933-4
Contents
- A Short History of Supercomputing
- Understanding Parallelism with GPUs
- CUDA Hardware Overview
- Setting up CUDA
- Grids, Blocks and Threads
- Memory Handling with CUDA
- Using CUDA in Practice
- Multi-CPU and Multi-GPU Solutions
- Optimizing Your Application
- Libraries and SDK
- Designing GPU-Based Systems
- Common Problems, Causes, and Solutions
