Bas van Dijk wrote:
A bit offtopic but slightly related: I just added a GSoC project proposal about adding a nVidia CUDA backend to Data Parallel Haskell: http://hackage.haskell.org/trac/summer-of-code/ticket/1537 It would be great if this physics engine or matrix library could run on a CUDA enabled nVidia "graphics" card!
As Don said, we're working on that. However, this is a lot more work than just a summer project. The reason is that you can't run arbitrary NDP computations on the GPU, just a fairly restricted subset. This means that you need to decide what to put on the GPU during code generation which, in turn, means a significant amount of compiler hacking. It's really more than enough work for a PhD thesis.
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