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Jan 20 '12

CUDA by Example: An Introduction to General-Purpose GPU Programming


“This ebook is needed reading for anyone operating with accelerator-based mostly computing systems.”

–From the Foreword by Jack Dongarra, College of Tennessee and Oak Ridge Countrywide Laboratory

CUDA is a computing architecture designed to facilitate the improvement of parallel applications. In conjunction with a complete software platform, the CUDA Architecture enables programmers to draw on the enormous electricity of graphics processing models (GPUs) when creating high-efficiency purposes. GPUs, of study course, have prolonged been available for demanding graphics and game applications. CUDA now delivers this useful reference to programmers functioning on programs in other domains, such as science, engineering, and finance. No information of graphics programming is required–just the capability to plan in a modestly prolonged model of Do.

CUDA by Illustration, composed by two senior users of the CUDA software package platform group, reveals programmers how to utilize this new technology. The authors bring in each and every area of CUDA growth through functioning examples. After a concise introduction to the CUDA platform and architecture, as nicely as a rapid-start off guidebook to CUDA Do, the ebook specifics the strategies and trade-offs connected with every single key CUDA function. You will uncover when to use each CUDA C extension and how to write CUDA computer software that offers definitely outstanding overall performance.

Key subjects coated include

  • Parallel programming
  • Thread cooperation
  • Consistent memory and activities
  • Texture memory
  • Graphics interoperability
  • Atomics
  • Streams
  • CUDA Do on numerous GPUs
  • Advanced atomics
  • Extra CUDA means

All the CUDA software package equipment you will want are freely readily available for obtain from NVIDIA.

http://developer.nvidia.com/object/cuda-by-instance.html
ISBN: 9780131387683
Date: 2010-07-29
Author(s): Jason Sanders, Edward Kandrot
Pages: 312
File Name: CUDA by Example.pdf
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9 notes Tags: algorithms concurrent programming cuda gpu nvidia parallel parallel computing parallel programming programming

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