Dear users,
I am able to successfully run an accelerated MD simulation on single M2090
GPU cards, but when i am trying to submit the same simulation on 2 GPU
cards on a single node, i am getting this message:-
cudaGetDeviceCount failed no CUDA-capable device is detected
cudaGetDeviceCount failed no CUDA-capable device is detected
....
Does AMBER supports accelerated MD simulation runs on multiple GPU cards??
I ran nvidia-smi and everything seemed to be normal:-
|-------------------------------+----------------------+----------------------+
| GPU Name | Bus-Id Disp. | Volatile Uncorr.
ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute
M. |
|===============================+======================+======================|
| 0 Tesla M2090 | 0000:14:00.0 Off |
0 |
| N/A N/A P0 77W / 225W | 0% 9MB / 5375MB | 0%
Default |
+-------------------------------+----------------------+----------------------+
| 1 Tesla M2090 | 0000:15:00.0 Off |
0 |
| N/A N/A P0 77W / 225W | 0% 9MB / 5375MB | 0%
Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Compute processes: GPU
Memory |
| GPU PID Process name Usage
|
|=============================================================================|
| No running compute processes found
|
+-----------------------------------------------------------------------------+
thanks
Asmita
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Received on Sun Jan 11 2015 - 05:00:02 PST
