Hello Malcolm, Friday, February 6, 2009, 11:49:56 AM, you wrote:
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.
are you learned gpu asm? the *only* type of problems it can effectively run is massive-parallel computations. you can run anything on it, but much slower that on cpu
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.
key word here *parallel*, i.e. simd computations -- Best regards, Bulat mailto:Bulat.Ziganshin@gmail.com