Difference between revisions of "HOWTO use AmpTools on the JLab farm GPUs"

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=== Access through SLURM ===
 
=== Access through SLURM ===
  
JLab currently provides 4 NVidia Titan RTX cards, which can be accessed through SLURM:
+
JLab currently provides 4 NVidia Titan RTX cards which can be accessed through SLURM, where N is the number of requested cards (1-4):
  >salloc --gres gpu:TitanRTX:1 --partition gpu --nodes 1
+
  >salloc --gres gpu:TitanRTX:N --partition gpu --nodes 1
 
An interactive shell (e.g. bash) on the node with requested allocation can be opened with srun:
 
An interactive shell (e.g. bash) on the node with requested allocation can be opened with srun:
 
  >srun --pty bash
 
  >srun --pty bash

Revision as of 14:33, 8 April 2021

Access through SLURM

JLab currently provides 4 NVidia Titan RTX cards which can be accessed through SLURM, where N is the number of requested cards (1-4):

>salloc --gres gpu:TitanRTX:N --partition gpu --nodes 1

An interactive shell (e.g. bash) on the node with requested allocation can be opened with srun:

>srun --pty bash

Information about the cards, cuda version and usage is displayed with this command:

>nvidia-smi

+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.87.01    Driver Version: 418.87.01    CUDA Version: 10.1     |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  TITAN RTX           Off  | 00000000:3E:00.0 Off |                  N/A |
| 41%   27C    P8     2W / 280W |      0MiB / 24190MiB |      0%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID   Type   Process name                             Usage      |
|=============================================================================|
|  No running processes found                                                 |
+-----------------------------------------------------------------------------+

AmpTools Compilation with CUDA

Performing Fits Interactively

Submitting Batch Jobs