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The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2010) 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 hardcore, will find something here of interest and immediate use. Newer CUDA developers will see how the ha rdware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate expert coverage of topics such as the driver API and context migration, as well as guidance on how best to structure CPU/GPU data interchange and synchronization. Designed to be both a comprehensive reference and a practical cookbook, The CUDA Handbook is divided into three parts: Part I ('Overview') gives high-level descriptions of the hardware and software that make CUDA possible. Part II ('Details') gives 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. The accompanying open-source code-more than 25,000 lines of it freely available over the Internet-is specifically intended to be reused and repurposed by developers.
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