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Product Description

“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.

From the Back Cover

“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

Using NVIDIA’s breakthrough CUDA software platform, you can harness the immense power of NVIDIA graphics processors to build high-performance, non-graphics software in fields ranging from science and engineering to finance. In CUDA by Example, two senior members of NVIDIA’s CUDA development team show C/C++ programmers exactly how to make the most of this extraordinary new technology, even if they have absolutely no graphics or parallel programming experience.

The only CUDA book created with NVIDIA’s direct involvement, CUDA by Example introduces every area of CUDA development through working, compilable examples. After concisely introducing the platform and architecture, the authors present a quick-start guide to CUDA C, the C-based language for programming massively parallel NVIDIA GPUs. Next, they systematically detail the techniques and tradeoffs 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