GPU memory Usage

Predrag Punosevac predragp at andrew.cmu.edu
Wed Apr 29 15:42:30 EDT 2020


Sarveshwaran Jayaraman <sarveshj at andrew.cmu.edu> wrote:

> Hi All,
> 
> I was trying to run my experiments on GPU 14 and came across this
> situation. On GPU ID 0 & 1 (highlighted in green& blue respectively)
> user has not released the GPU memory after experiment.

This is one of quintessential don'ts and it is now well documented 

https://www.autonlab.org/autonlab_wiki/

Offending members will have their accounts suspendend until they take 
a quiz and score above 80%. If you take a quiz and flunk it, a mandatory
seven day waiting period will be enforced :-))))))

Cheers,
Predrag



> A possible scenario could be that the user has not shutdown the
> jupyter notebook after use (closing does not suffice).  Therefore 2
> out of possible 4 GPUs are not available on that node.
> 
> 
> Please be mindful to free GPU memory after use for other users if that's the case. One simple solution I found around this is to convert your notebooks to python script and run them using nohup command.
> 
> Thanks for your understanding!
> 
> 
> (base) sarveshj at gpu14$ nvidia-smi -l 3
> Wed Apr 29 11:18:10 2020
> +-----------------------------------------------------------------------------+
> | NVIDIA-SMI 440.33.01    Driver Version: 440.33.01    CUDA Version: 10.2     |
> |-------------------------------+----------------------+----------------------+
> | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
> | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
> |===============================+======================+======================|
> |   0  GeForce RTX 208...  Off  | 00000000:18:00.0 Off |                  N/A |
> | 32%   48C    P2    59W / 250W |  10980MiB / 11019MiB |      0%      Default |
> +-------------------------------+----------------------+----------------------+
> |   1  GeForce RTX 208...  Off  | 00000000:3B:00.0 Off |                  N/A |
> | 41%   66C    P2    98W / 250W |  10984MiB / 11019MiB |     18%      Default |
> +-------------------------------+----------------------+----------------------+
> |   2  GeForce RTX 208...  Off  | 00000000:86:00.0 Off |                  N/A |
> | 33%   54C    P2    67W / 250W |   1935MiB / 11019MiB |      9%      Default |
> +-------------------------------+----------------------+----------------------+
> |   3  GeForce RTX 208...  Off  | 00000000:AF:00.0 Off |                  N/A |
> | 32%   43C    P2    62W / 250W |   8849MiB / 11019MiB |      4%      Default |
> +-------------------------------+----------------------+----------------------+
> 
> +-----------------------------------------------------------------------------+
> | Processes:                                                       GPU Memory |
> |  GPU       PID   Type   Process name                             Usage      |
> |=============================================================================|
> |    0    203849      C   python3                                     1677MiB |
> |    1    203849      C   python3                                      155MiB |
> |    1    236031      C   /home/scratch/sarveshj/mini/bin/python3    10817MiB |
> |    2    203849      C   python3                                      155MiB |
> |    2    232877      C   python                                      1613MiB |
> |    2    236031      C   /home/scratch/sarveshj/mini/bin/python3      155MiB |
> |    3    147113      C   python                                      1613MiB |
> |    3    203849      C   python3                                      155MiB |
> +-----------------------------------------------------------------------------+
> 
> 
> 
> 
> [1562005799537]<https://www.autonlab.org/>
> 
>         Sarvesh Jayaraman<https://www.linkedin.com/in/sarveshjayaraman/>
> Sr. Research Analyst, Auton Lab
> Carnegie Mellon University
> Mob: +1-240-893-4287
> 
> 


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