CUDA Programming: A Developers Guide to Parallel Computing with GPUs

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.

Comprehensive introduction to parallel programming with CUDA, for readers new to bothDetailed instructions help readers optimize the CUDA software development kitPractical techniques illustrate working with memory, threads, algorithms, resources, and moreCovers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsetsEach chapter includes exercises to test reader knowledge

1. A Short History of Supercomputing
2. Understanding Parallelism with GPUs
3. CUDA Hardware Overview
4. Setting Up Cuda
5. Grids, Blocks, and Threads
6. Memory Handling with CUDA
7. Using CUDA in Practice
8. Multi-CPU and Multi-GPU Solutions
9. Optimizing Your Application
10. Libraries and SDK
11. Designing GPU-Based Systems
12. Common Problems, Causes, and Solutions