Cuda by Example

"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