On Thu, Mar 5, 2015 at 2:53 AM, Prentice Bisbal <prentice.bis...@rutgers.edu> wrote: > The top system on the Green500 right now is using AMD Fire S9150 GPUs: > > http://www.green500.org/lists/green201411 > > While you might be promoting yourself, I am glad someone brought this up, > because I've been wondering what AMD is going to do about this, and I just > had a conversation about this last week. > > I think the best thing you can do to improve market share would be to > license the CUDA syntax from NVidia, or work to make it a standardized > language.
I am unaware of any patents in CUDA or that CUDA depends on. We did everything 100% clean and our GPGPU stack is written entirely by us. CUDA is likely a trademark of NVIDIA, but that's the most complicated thing to marketing a "CUDA compatible compiler"... I don't think it's only a 30% additional margin of performance.. I think it's a combined set of things which broaden the scope. 1) For N budget how many cards can you buy.. In this case I think you're either saving money or getting more cards.. (which may make up that magic 100% target) 2) Do you need more ram on the card? If yes.. they provide it.. if not.. you can get sweet deals on cards like the w8100 Clusters typically have a longer lifecycle, but at some point it does make sense to upgrade them. I think if the AMD solution catches that sweetspot some existing users could be converted (assuming their code will run relatively pain free) - That's my goal... --------- OpenACC and other directive based approaches - we're working to fix the performance issues with that in our compiler and write a best practices guide.. CUDA provides some really explicit mapping mechanisms for the GPU, but I hope we can make the general case a lot more compelling.. _______________________________________________ Beowulf mailing list, Beowulf@beowulf.org sponsored by Penguin Computing To change your subscription (digest mode or unsubscribe) visit http://www.beowulf.org/mailman/listinfo/beowulf
