CUDA Programming A developer's Guide to Parallel Computing with GPUs 13665

Паперова книга

13665

CUDA Programming A developers Guide to Parallel Computing with GPUs - фото 1

ISBN

978-0124159334,978-93-5107-178-5
Видавництво

Morgan Kaufmann
Автор

Shane Cook
Серія

Applications of Gpu Computing
Рік

2012
Мова

Англійська

945 ₴

4 людини

Все про “CUDA Programming A developer's Guide to Parallel Computing with GPUs”

Від видавця

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, demonstrates the book 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 both
Detailed instructions help readers optimize the CUDA software development kit
Practical techniques illustrate working with memory, threads, algorithms, resources, and more
Covers CUDA on multiple hardware platforms: Mac, Linux and Windows with several NVIDIA chipsets
Each chapter includes exercises to test reader knowledge

About the Author

Shane Cook is Technical Director at CUDA Developer, a consultancy company that helps companies exploit the power of GPUs by re-engineering code to make the optimal use of the hardware available. He formed CUDA Developer upon realizing the potential of heterogeneous systems and CUDA to disrupt existing serial and parallel programming technologies. He has a degree in Applied Software Engineering, specializing in the embedded software field. He has worked in senior roles with blue chip companies over the past twenty years, always seeking to help to develop the engineers in his team. He has worked on C programming standards including the MISRA Safer C widely used by in the automotive community software, and previously developed code for companies in the Germany automotive and defense contracting industries as well as Nortel and Ford Motor Company.