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CUDA by Example - An Introduction to General-Purpose GPU Programming (Paperback)
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CUDA by Example - An Introduction to General-Purpose GPU Programming (Paperback)
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"This book is required reading for anyone working with
accelerator-based computing systems." -From the Foreword by Jack
Dongarra, University of Tennessee and Oak Ridge National Laboratory
CUDA is a computing architecture designed to facilitate the
development of parallel programs. In conjunction with a
comprehensive software platform, the CUDA Architecture enables
programmers to draw on the immense power of graphics processing
units (GPUs) when building high-performance applications. GPUs, of
course, have long been available for demanding graphics and game
applications. CUDA now brings this valuable resource to programmers
working on applications in other domains, including science,
engineering, and finance. No knowledge of graphics programming is
required-just the ability to program in a modestly extended version
of C. CUDA by Example, written by two senior members of the CUDA
software platform team, shows programmers how to employ this new
technology. The authors introduce each area of CUDA development
through working examples. After a concise introduction to the CUDA
platform and architecture, as well as a quick-start guide to CUDA
C, the book details the techniques and trade-offs associated with
each key CUDA feature. You'll discover when to use each CUDA C
extension and how to write CUDA software that delivers truly
outstanding performance. Major topics covered include Parallel
programming Thread cooperation Constant memory and events Texture
memory Graphics interoperability Atomics Streams CUDA C on multiple
GPUs Advanced atomics Additional CUDA resources All the CUDA
software tools you'll need are freely available for download from
NVIDIA. http://developer.nvidia.com/object/cuda-by-example.html
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