CUDA Programming: A Developer's Guide to Parallel Computing with GPUs

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Название: CUDA Programming: A Developer's Guide to Parallel Computing with GPUs

Автор: Shane Cook

Издательство: Morgan Kaufmann

Год: 2013

Формат: PDF

Размер: 16,57 Мб

Качество: Хорошее

Язык: Английский

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.

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