On top of this, GB simulations scale as O(N^2) with no cutoff. So a simulation with 2x as many atoms taking 4x longer to complete makes perfect sense.
HTH,
Jason
--
Jason M. Swails
> On Jul 27, 2018, at 7:12 PM, Roitberg,Adrian E <roitberg.ufl.edu> wrote:
>
> According to the official amber benchmark, a GTX 980 will give you 256 ns/day for myoglobin with roughly 2500 atoms and a time of 2fs.
>
> So, it basically impossible that were doing 500 ns/day with 4000 atoms in a gtx980.
>
> Are you sure it was the same molecular system?
>
> On Jul 27, 2018 7:02 PM, Parviz Seifpanahi Shabane <sparviz.vt.edu> wrote:
> No system software upgrades and there is not any other job running on this
> GPU!!!
>
>> On Fri, Jul 27, 2018 at 5:10 PM, Bill Ross <ross.cgl.ucsf.edu> wrote:
>>
>> And per David, do you e.g.
>>
>> $ watch -n 0.5 nvidia-smi
>>
>>
>>> On 7/27/18 2:05 PM, Supriyo Bhattacharya wrote:
>>> Also, do a nvidia-smi and check what other processes might be running
>> on the gpu to slow down the MD.
>>> On Friday, July 27, 2018, 1:35:06 PM PDT, Bill Ross <
>> ross.cgl.ucsf.edu> wrote:
>>>
>>> How long ago did you last get the better results? What software has
>>> changed, particularly drivers? What OS?
>>>
>>> Bill
>>>
>>>
>>>> On 7/27/18 1:15 PM, Parviz Seifpanahi Shabane wrote:
>>>> Dear AMBER user,
>>>>
>>>> I am running a simulation on 1 GPU (GTX980), with almost 4000 atmos with
>>>> using implicit water (igb=8) and no cutoff (cut=999). everything works
>> but
>>>> the problem is it is very slow (72 ns/day !!!) I used to get 500 ns/day
>>>> for the almost same system on the same GPU. Any idea?
>>>> Best
>>>
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>
>
>
> --
> Parviz Seifpanahi
> Ph.D. Candidate
> Department of Physics
> Virginia Tech, Blacksburg, Va 24061
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Received on Wed Aug 01 2018 - 14:30:05 PDT