Hi,
I've never seen/had my hands on the Tesla T10 so I didn't know that's
the name it reports. I'll fix this for the next release. Rest assured
that on this hardware Gromacs-GPU should run just fine.
On the other hand, your driver version is very strange: CUDA Driver
Version = 4243455, while it s
Hello,
This is the output from deviceQuery command:
./deviceQuery Starting...
CUDA Device Query (Runtime API) version (CUDART static linking)
There are 4 devices supporting CUDA
Device 0: "Tesla T10 Processor"
CUDA Driver Version: 3.20
CUDA Runtime Version:
Bongkeun Kim wrote:
Hello,
I tried using 1fs timestep and it did not work.
I'm using nvidia T10 gpus(c1060 or s1070) and mdrun-gpu said it's not
supported gpu and I had to use "force-device=y". Do you think this is
the reason of the error?
Probably. Please note the documentation and the s
Hi,
Tesla C1060 and S1070 should is definitely supported so it's strange
that you get that warning. The only thing I can think of is that for
some reason the CUDA runtime reports the name of the GPUS other than
C1060/S1070. Could you please run the deviceQuery from the SDK and
provide the output h
Hello
Did you use constraints = none instead of LINCS.
It could work better
bests,
Emanuel
>>> Bongkeun Kim 15.12.10 9.42 Uhr >>>
Hello,
I tried using 1fs timestep and it did not work.
I'm using nvidia T10 gpus(c1060 or s1070) and mdrun-gpu said it's not
supported gpu and I had to use "
Hello,
I tried using 1fs timestep and it did not work.
I'm using nvidia T10 gpus(c1060 or s1070) and mdrun-gpu said it's not
supported gpu and I had to use "force-device=y". Do you think this is
the reason of the error?
Thanks.
Bongkeun Kim
Quoting Emanuel Peter :
Hello,
If you use for y
Hello,
If you use for your timestep 1fs instead of 2fs, it could run better.
Bests,
Emanuel
>>> Bongkeun Kim 15.12.10 8.36 Uhr >>>
Hello,
I got an error log when I used gromacs-gpu on npt simulation.
The error is like:
---
Inp
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