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

Download File Size:2.79 MB

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