Verwandte Artikel zu The CUDA Handbook: A Comprehensive Guide to GPU Programming
Inhaltsangabe
The book will be mostly reference and part cookbook. Careful descriptions of the hardware and software abstractions, best practices, and example source code will be included. Much of the source code will come in the form of reusable GÇ£microbenchmarksGÇ¥ or GÇ£microdemosGÇ¥ designed to expose specific hardware characteristics or highlight specific use cases. Best practices will be discussed and accompanied with source code. One idea that will be emphasized is the GÇ£EERS PrincipleGÇ¥ (Empirical Evidence Reigns Supreme): determining the fastest way to perform a given operation is best done empirically.
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Über die Autorin bzw. den Autor
Nicholas Wilt has been programming professionally for more than twenty-five years in a variety of areas, including industrial machine vision, graphics, and low-level multimedia software. While at Microsoft, he served as the development lead for Direct3D 5.0 and 6.0, built the prototype for the Desktop Window Manager, and did early GPU computing work. At NVIDIA, he worked on CUDA from its inception, designing and often implementing most of CUDA’s low-level abstractions. Now at Amazon, Mr. Wilt is working on cloud computing technologies relating to GPUs.
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CUDA Handbook: A Comprehensive Guide to GPU Programming, The
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Paperback. Zustand: Very Good. The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization. The accompanying open source code?more than 25,000 lines of it, freely available at www.cudahandbook.com?is specifically intended to be reused and repurposed by developers. Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts: Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible. Part II, Details, provides thorough descriptions of every aspect of CUDA, including Memory Streams and events Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5 The streaming multiprocessors, including descriptions of all features through SM 3.5 Programming multiple GPUs Texturing The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases. Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including Streaming workloads Reduction Parallel prefix sum (Scan) N-body Image Processing These algorithms cover the full range of potential CUDA applications. Bestandsnummer des Verkäufers CIN0321809467VG
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CUDA Handbook: A Comprehensive Guide to GPU Programming, The
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CUDA Handbook: A Comprehensive Guide to GPU Programming, The
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Paperback. Zustand: Very Good. The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization. The accompanying open source code?more than 25,000 lines of it, freely available at www.cudahandbook.com?is specifically intended to be reused and repurposed by developers. Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts: Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible. Part II, Details, provides thorough descriptions of every aspect of CUDA, including Memory Streams and events Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5 The streaming multiprocessors, including descriptions of all features through SM 3.5 Programming multiple GPUs Texturing The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases. Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including Streaming workloads Reduction Parallel prefix sum (Scan) N-body Image Processing These algorithms cover the full range of potential CUDA applications. Bestandsnummer des Verkäufers CIN0321809467VG
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CUDA Handbook: A Comprehensive Guide to GPU Programming, The
Verlag:
Addison-Wesley Professional, 2013
ISBN 10: 0321809467
ISBN 13: 9780321809469
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CUDA Handbook : The a Comprehensive Guide to GPU Programming
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ISBN 13: 9780321809469
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The Cuda Handbook: A Comprehensive Guide to GPU Programming
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ISBN 13: 9780321809469
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CUDA Handbook : The a Comprehensive Guide to GPU Programming
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Addison Wesley Professional, 2013
ISBN 10: 0321809467
ISBN 13: 9780321809469
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