Hi Ross
Thanks a lot for your quick reply and the clarification! Nice to know with
certainty that (our) pascal cards can now be mixed with the newer cards
without hassle!
Kind regards and thanks again
Charles-Alexandre Mattelaer
Op zo 6 okt. 2019 22:22 schreef Ross Walker <rosscwalker.gmail.com>:
> Hi CharlesAs long as you have amber 18 along with amber tools 19, cuda 10
> or greater and apply the latest updates when you run configure you should
> get an executable that works equally well on RTX20xx and GTX10xx
> cards.Gtx1660 I see no reason why it wouldn't work but haven't tried myself
> yet so no word on performance.All the bestRoss
> -------- Original message --------From: Charles-Alexandre Mattelaer <
> camattelaer01.gmail.com> Date: 10/5/19 17:11 (GMT-05:00) To: AMBER
> Mailing List <amber.ambermd.org> Subject: Re: [AMBER] RTX 2080 slower
> then 1080 Ti with pmemd 18 ? Hi RossSorry to pick this old thread up, but
> does the statement '... so you willneed multiple executables if you have
> mixed hardware.' still hold for CUDA10? I've read CUDA 10 supports both
> Turing and Pascal (and othersobviously) but without any concern or warning
> that patching is required. Weonly have gtx cards, but would like to expand
> and since gtx has becomerather scarce are looking towards rtx cards (or the
> newer gtx 1660 butstill no word on compatibility).Thanks in advance and
> kind regards!Charles-Alexandre MattelaerOp wo 21 nov. 2018 21:37 schreef
> Ross Walker <ross.rosswalker.co.uk>:> Hi Alain,>> You will need a patched
> version of AMBER to get full performance on RTX> cards. That is still being
> worked on. In the meantime edit the following> line in
> $AMBERHOME/src/pmemd/src/cuda/gpu_types.h>> static const int
> PMENONBONDFORCES_THREADS_PER_BLOCK = 640;>> Change to>> static const
> int PMENONBONDFORCES_THREADS_PER_BLOCK = 512;>> Then recompile. Note
> this will run slower on non RTX2080(TI) cards so you> will need multiple
> executables if you have mixed hardware.>> Also use CUDA 9.2 for the RTX
> cards.>> All the best> Ross>> > On Nov 21, 2018, at 14:24, Alain Chaumont <
> chaumont.unistra.fr> wrote:> >> > Dear all,> > we currently are testing
> our new RTX 2080 cards (MSI Geforce Seahawk RTX> 2080). However it seems
> that they are about 2% slower then our GTX 1080Ti> Cards (Similar model).>
> > However from the benchmarks on the AMBER webpage I find that the RTX>
> 2080 should be about 10 - 20 % faster then GTX 1080Ti. Is this correct? If>
> so any ideas why this is not the case for us? Is there some “trick” to use>
> during compilation or so? Or are they done with some patches of AMBER
> which> are not yet public?> >> > Thanks a lot in advance> >> > Alain
> Chaumont> >> > P.S. We are currently using CUDA 9.0 . The size of the
> systems is about> 130 000 atoms.> >> >> >> > Universite de Strasbourg> > 4,
> rue B. Pascal> > 67000 Strasbourg> > France> >> >> >> >
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Received on Sun Oct 06 2019 - 23:30:02 PDT
