The GPU Computing SDK package provides examples with source code, utilities, and white papers to help you get started writing GPU Computing software. The full SDK includes dozens of code samples covering a wide range of applications.
The OpenCL applications in the NVIDIA GPU Computing SDK require a GPU with CUDA Compute Architecture to run properly. After installing the SDK, open the SDK Browser from the Start Menu by clicking on "NVIDIA GPU Computing SDK Browser" in the NVIDIA GPU Computing folder within the NVIDIA Corporation program group installed in the Windows Start Menu.
- Each installed SDK sample program is shown along with links for running the executable and viewing the source code files.
- Some of the samples additionally present a link to a Whitepaper describing the sample in detail.
- The samples are presented within the SDK browser in approximate order of complexity,from the least complex projects at the top to the most complex projects at the bottom.
Creating Your Own OpenCL Program for Linux using the SDK infrastructure
Creating a new OpenCL Program using the NVIDIA OpenCL SDK infrastructure is easy.
Just follow these steps:
1. Copy one of the installed OpenCL SDK project folders, in it's entirety, into
"/OpenCL/src" and then rename the folder. Now you have something like "/OpenCL/src/myproject"
2. Edit the filenames of the project to suit your needs.
3. Edit the Makefile. Just search and replace all occurrences of the old filenames to the new ones you chose.
4. Build the 32-bit and/or 64-bit, release and debug configurations by typing "make" or "make dbg=1".
5. Run your myproject executable from the release or debug, directories located in
"/OpenCL/bin/linux/[release|debug]".
6. Modify the code to perform the computation you require. See the OpenCL
Programming Guide and the OpenCL API Specifications for details of programming in OpenCL.
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