CUDA Programming A developer's Guide to Parallel Computing with GPUs 13665
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ISBN978-0124159334,978-93-5107-178-5
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Бренд
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Автор
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СеріяApplications of Gpu Computing
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Рік2012
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МоваАнглійська
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
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Характеристики
- Бренд
- Автор
- СеріяApplications of Gpu Computing
- КатегоріяПрограмування
- Рік2012
- Сторінок600
- Формат170х240 мм
- ОбкладинкаТверда
- Тип паперуОфсетний
- МоваАнглійська
- Термін поставки10 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
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