What is GPU Computing SDK?

GPU Computing SDK

The GPU Computing SDK package is your go-to resource for diving into GPU computing software. It comes loaded with examples, source code, utilities, and even white papers to get you started on the right foot. You'll find tons of code samples that cover a wide range of applications, making it easier than ever to learn.

Getting Started with the SDK

To use the OpenCL applications in the NVIDIA GPU Computing SDK, make sure you have a GPU that supports CUDA Compute Architecture. Once you've got that sorted out, installing the SDK is a breeze. Just head over to your Start Menu and open up the NVIDIA GPU Computing SDK Browser. You can find it in the NVIDIA Corporation program group.

Exploring Installed Samples

In the SDK Browser, you'll see all installed sample programs listed for you. Each one has links so you can run the executable or check out its source code files. Some samples even have links to detailed whitepapers explaining them further!

Understanding Sample Complexity

The samples are organized in order of complexity—so if you're new, start at the top where it's less complicated and work your way down. This makes learning feel more manageable and less overwhelming.

Creating Your Own OpenCL Program for Linux

If you're ready to create your own OpenCL program using the NVIDIA OpenCL SDK infrastructure, it's super simple! Here's how:

1. First, copy one of those installed OpenCL project folders into "/OpenCL/src" and rename it. Now you'll have something like "/OpenCL/src/myproject".


2. Edit the project filenames to fit your needs.


3. Edit your Makefile by searching for old filenames and replacing them with your new ones.


4. You can build both 32-bit and/or 64-bit versions by typing "make" or "make dbg=1".


5. Run your executable from either release or debug directories located in "/OpenCL/bin/linux/[release|debug]".


6. Finally, modify your code to do whatever computation you need! Check out the OpenCL Programming Guide and API Specifications for more info on programming in OpenCL.

If you're excited about downloading this amazing toolset, make sure to visit this link: Download here!

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