Sorry I mean M4RI, not GF2X. 2008/11/23 Bill Hart <[EMAIL PROTECTED]>: > I looked up the NVIDIA Cuda docs here: > http://developer.download.nvidia.com/compute/cuda/2_0/docs/NVIDIA_CUDA_Programming_Guide_2.0.pdf > > It looks like section C2.3 describes an atomic Xor function. That > should be just what is needed for GF2X. > > I can see some definite potential is doing exact arithmetic too. One > would implement a floating point FFT. It doesn't matter that if one > wanted a proved result one would have to work with a hopelessly slow > bound. With that many cores it would be irrelevant. You'd still be a > factor of 30-100 times faster than a single core machine! > > Bill. > > 2008/11/23 mabshoff <[EMAIL PROTECTED]>: >> >> >> >> On Nov 23, 12:38 pm, "Bill Hart" <[EMAIL PROTECTED]> wrote: >>> Perhaps if you, me, John C, mabshoff and the people he is working with >>> all signed off on it. >> >> The people I am working with here is basically Clement Pernet. There >> are also other people form the LinBox universe working on GPU code, >> i.e. Pascal Giorgi. >> >> Another interesting angle here could be m4ri since the XORing engine >> on the GPU should be insanely fast, but last time I talked to malb he >> wasn't very enthusiastic about it. >> >>> I could also mention the "seed funding" EPSRC have given me through my >>> grant, for hardware and my salary, specifically for developing "fast >>> core arithmetic for parallel processors and platforms". >> >> Cool. >> >>> We could actually make the application look quite impressive I think. >> >> One would hope so. >> >>> Bill. >> >> Cheers, >> >> Michael >> >> >> >
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