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Tagged With: GPGPU

GPGPU programming class

It’s already a while back that I completed the coursera class “Heterogeneous Parallel Programming“. It was mainly concerned with cuda, which is Nvidia’s GPGPU framework. GPGPU is about running common computations on the graphics card. The class also quickly covered OpenCL, OpenACC, C++AMP and MPI. In the programming assignments, we juggled a lot with low … Continue reading »

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accelerated ray tracer

In all the great online classes I attended over the last year, there was one topic missing. Finally I found an offering for a Computer Graphics class. After all, that’s the field I ‘ve been working in for the last five and a half years. The class is offered at edx.org and is from Berkley. … Continue reading »

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OpenCL First Steps

There is an increasing noise about GPGPU computing and how much faster than CPU (even parallel) it is. If you didn’t hear about all that, GPGPU is about using the computer’s graphics card(s) to do general purpose computations. The key to the performance lies in the parallel architecture of these devices. From what I read, … Continue reading »

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