(Also... Haskell on the GPU. It's been talked about for years, but
will
it ever actually happen?)
gpu is just set of simd-like instructions. so the reason why you will
never see haskell on gpu is the same as why you will never see it
implemented via simd instructions :D
Because SIMD/GPU deals only with numbers, not pointers, you will not
see much _symbolic_ computation being offloaded to these arithmetic
units. But there are still great opportunities to improve Haskell's
speed at numerics using them. And some symbolic problems can be
encoded using integers.
There are at least two current (but incomplete) projects in this area:
Sean Lee at UNSW has targetted Data Parallel Haskell for an Nvidia
GPGPU, and Joel Svensson at Chalmers is developing a Haskell-embedded
language for GPU programming called Obsidian.
Regards,
Malcolm
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