Professional CUDA C Programming

John Cheng · Max Grossman · Ty McKercher

Sep 2014 · Sold by John Wiley & Sons

About this ebook

Break into the powerful world of parallel GPU programming with this down-to-earth, practical guide

Designed for professionals across multiple industrial sectors, Professional CUDA C Programming presents CUDA -- a parallel computing platform and programming model designed to ease the development of GPU programming -- fundamentals in an easy-to-follow format, and teaches readers how to think in parallel and implement parallel algorithms on GPUs. Each chapter covers a specific topic, and includes workable examples that demonstrate the development process, allowing readers to explore both the "hard" and "soft" aspects of GPU programming.

Computing architectures are experiencing a fundamental shift toward scalable parallel computing motivated by application requirements in industry and science. This book demonstrates the challenges of efficiently utilizing compute resources at peak performance, presents modern techniques for tackling these challenges, while increasing accessibility for professionals who are not necessarily parallel programming experts. The CUDA programming model and tools empower developers to write high-performance applications on a scalable, parallel computing platform: the GPU. However, CUDA itself can be difficult to learn without extensive programming experience. Recognized CUDA authorities John Cheng, Max Grossman, and Ty McKercher guide readers through essential GPU programming skills and best practices in Professional CUDA C Programming, including:

• CUDA Programming Model
• GPU Execution Model
• GPU Memory model
• Streams, Event and Concurrency
• Multi-GPU Programming
• CUDA Domain-Specific Libraries
• Profiling and Performance Tuning

The book makes complex CUDA concepts easy to understand for anyone with knowledge of basic software development with exercises designed to be both readable and high-performance. For the professional seeking entrance to parallel computing and the high-performance computing community, Professional CUDA C Programming is an invaluable resource, with the most current information available on the market.

Ratings and reviews

One star for not letting customers share books in their family library. I can't even share my books with my daughter. I may as well go back to buying hard copies, that I can do with as I please. Google should let buyers know whether a book is shareable before they buy it. I hate to rate a book on something other than the content, but this is just so obnoxious.

Wanted to give 0 stars but can't do so.. The sample is a single blank page sample.. What's the use of it.. Better still don't provide any sample

No sample? Probably not a good book I guess

About the author

John Cheng, PHD, is a Research Scientist at BGP International in Houston. He has developed seismic imaging products with GPU technology and many high-performance parallel production applications on heterogeneous computing-platforms.

Max Grossman is an expert in GPU computing with experience applying CUDA to problems in medical imaging, machine learning, geophysics, and more.

Ty McKercher has been helping customers adopt GPU acceleration technologies while he has been employed at NVIDIA since 2008.