CUDA Toolkit 3.2 now available
*New* Updated versions of the CUDA C Programming Guide and the Fermi Tuning Guide are available via the links below.
- Fermi Compatibility Guide
- Fermi Tuning Guide
- CUDA Programming Guide for CUDA Toolkit 3.2
- CUDA Developer Guide for Optimus Platforms
The CUDA™ architecture enables developers to leverage the massively parallel processing power of NVIDIA GPUs, delivering the performance of NVIDIA’s world-renowned graphics processor technology to general purpose GPU Computing.
With the CUDA architecture and tools, developers are achieving dramatic speedups in fields such as medical imaging and natural resource exploration, and creating breakthrough applications in areas such as image recognition and real-time HD video playback and encoding.
CUDA enables this unprecedented performance via standard APIs such OpenCL and DirectCompute, and high level programming languages such as C/C++, Fortran, Java, Python, and the Microsoft .NET Framework.
Sign up for a GPU Computing registered developer account to get early access to prerelease drivers, tools, bug reporting, and more.
Now available: "CUDA by Example: An Introduction to General-Purpose GPU Programming"
CUDA by Example, written by two senior members of the CUDA software platform team, shows programmers how to employ this new technology, including a concise introduction to the CUDA platform and architecture, as well as a quick-start guide to CUDA C. Visit our CUDA by Example page for more details on obtaining the book, a sample chapter, and the full source code for the book's examples.
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