by Rob Farber
CUDA, Supercomputing for the Masses: Part 14 of this article series focused on debugging techniques and the use of CUDA-GDB to effectively diagnose and debug CUDA code — with an emphasis on how to speed the process when looking through large amounts of data and how to use the thread syntax and semantic changes introduced in CUDA-GDB. This article discusses mixing CUDA and OpenGL by utilizing a PBO (Pixel Buffer Object) to create images with CUDA on a pixel-by-pixel basis and display them using OpenGL. A subsequent article in this series will discuss the use of CUDA to generate 3D meshes and utilize OpenGL VBOs (Vertex Buffer Objects) to efficiently render meshes as a colored surface, wireframe image or set of 3D points. All demonstration code compiles and runs under both Windows and Linux.

The articles in this discussion on mixing CUDA with OpenGL cannot do more than provide a cursory introduction to OpenGL. Interested readers should look to the plethora of excellent books and tutorials that are readily available in bookstores and on the Internet.

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Related Links
Parallel Programming Tutorial Series - Part 8 - CUDA