EN600.407 General Purpose Computation on the GPU
Programmable graphics hardware not only provides a way to perform advanced real-time 3D rendering, but also a platform for highly
parallel numerical computing. Over the past 5 years, the General Purpose Graphics Processor Unit (GPGPU) community has grown around
performing non-graphics computations using the limited instruction set and framework of the graphics pipeline. This short course,
which meets one hour per week for the Spring 2008 semester, will introduce students to GPGPU computing using NVIDIA's CUDA platform.
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Instructor: Matthew Bolitho (
bolitho@cs.jhu.edu)
Office Hours: Wednesday 9AM-10AM in the Computer Graphics Lab (NEB B20)
Lecture Time/Location: Wednesdays, 10AM in Shaffer 302
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06/01/08: Class is over for the semester! Thanks to everyone that helped make this course a sucess. By popular demand, the material from this course will be retaught in the Spring as a part of Randal Burns' Parallel Programming class.
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