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Graphic Programming

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In this chapter from CUDA for Engineers: An Introduction to High-Performance Parallel Computing, you'll learn about the essentials of defining and launching kernels on 2D computational grids. The authors explain sample code, the flashlight app that takes advantage of CUDA/OpenGL interop to implement real-time graphical display and interaction with the results from 2D computational grids. Finally, they show how to use flashlight as a template and perform modifications to make it applicable to a real engineering problem, numerical exploration of dynamic stability.

Learn how to move graphical objects on the screen with Phrogram, a complete programming environment that is similar to Java, C#, or Visual Basic, but it is much easier to master and a lot more fun to learn and use.

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