Here are the papers I was thinking of: http://arxiv.org/abs/1412.6564 (nvidia gtx titan black) http://arxiv.org/abs/1412.3409 (nvidia gtx 780)
On Fri, Jun 26, 2015 at 2:09 AM, Nikos Papachristou <nikp...@gmail.com> wrote: > Not go related, but you may find this deep learning GPU hardware guide > useful: > https://timdettmers.wordpress.com/2015/03/09/deep-learning-hardware-guide/ > > As for hardware breakthroughs, Nvidia has announced that its next > generation GPUs (codenamed Pascal) will offer 10x the performance in 2016, > so you might want to wait a little more. > > Nikos > > On Thu, Jun 25, 2015 at 8:18 PM, Darren Cook <dar...@dcook.org> wrote: > >> I wondered if any of the current go programs are using GPUs. >> >> If yes, what is good to look for in a GPU? Links to essential reading on >> this topic would be welcome. (*) >> >> If not, is there some hardware breakthrough being waited for, or some >> algorithmic one? >> >> Darren >> >> *: After many years of being happy with built-in graphics, I'm now >> thinking to get a "gaming" PC, to show off some WebGL data >> visualizations. Assuming the cost is in the same ballpark, I thought I'd >> get one that would allow some scientific computing experiments too. >> _______________________________________________ >> Computer-go mailing list >> Computer-go@computer-go.org >> http://computer-go.org/mailman/listinfo/computer-go > > > > _______________________________________________ > Computer-go mailing list > Computer-go@computer-go.org > http://computer-go.org/mailman/listinfo/computer-go >
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