Freshly Printed - allow 10 days lead
Couldn't load pickup availability
CUDA Programming
A Developer's Guide to Parallel Computing with GPUs
Provides a solid foundation for developers learning parallel programming with CUDA
Shane Cook (Author)
9780124159334, Elsevier Science
Paperback, published 7 December 2012
592 pages
23.4 x 19 x 3.6 cm, 1.002 kg
"I must mention chapters 7, which deals with the practicalities of using the SDK, and 9, which offers advice and a detailed breakdown of areas that can limit the performance of a CUDA application. Together, these chapters transform this good book into the kind of excellent text that all CUDA developers can find useful, regardless of their relative experience." --ComputingReviews.com, July 12, 2013 "This book is one of the most comprehensive on the subject published to date…it will guide those acquainted with GPU/CUDA from other books or from NVIDIA product documentation through the optimization maze to efficient CUDA/GPU coding." --ComputingReviews.com, April 25, 2013
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.
1. A Short History of Supercomputing2. Understanding Parallelism with GPUs3. CUDA Hardware Overview4. Setting Up Cuda5. Grids, Blocks, and Threads6. Memory Handling with CUDA7. Using CUDA in Practice8. Multi-CPU and Multi-GPU Solutions9. Optimizing Your Application10. Libraries and SDK11. Designing GPU-Based Systems12. Common Problems, Causes, and Solutions
Subject Areas: Parallel processing [UYFP], Software Engineering [UMZ]
