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.zigans...@gmail.com _______________________________________________ Haskell-Cafe mailing list Haskell-Cafe@haskell.org http://www.haskell.org/mailman/listinfo/haskell-cafe
