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

Name: CUDA Programming A developer's Guide to Parallel Computing with GPUs
Brand: Morgan Kaufmann
SKU: 13665
Price: 945 UAH
Availability: OutOfStock
Rating: 5 (1 reviews)
ISBN: 978-0124159334,978-93-5107-178-5

Код товару: 13665Паперова книга

ISBN

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

Morgan Kaufmann
Автор

Shane Cook
Серія

Applications of Gpu Computing
Рік

2012
Мова

Англійська

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.

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Характеристики

Бренд
Morgan Kaufmann
Автор
Shane Cook
Серія
Applications of Gpu Computing
Категорія
Програмування
Рік
2012
Сторінок
600
Формат
170х240 мм
Обкладинка
Тверда
Тип паперу
Офсетний
Мова
Англійська
Термін поставки
10 дней

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.