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how_do_i [2023/12/15 22:29] – [Request Library or Application] deadlinehow_do_i [2025/10/09 16:33] (current) – [Use TensorFlow] deadline
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 Thanks "Thanks for your submission." Thanks "Thanks for your submission."
  
-Fieldset "Need Library or Applications"+Fieldset "Need Help with Library or Applications?"
 Textbox  "Name (first/ last)" "=Your Name" Textbox  "Name (first/ last)" "=Your Name"
 Textbox "Your Login"  "=Login" Textbox "Your Login"  "=Login"
 email "Your E-Mail Address" "=Email Address" email "Your E-Mail Address" "=Email Address"
  
-textarea "What Library/Application do you need?"+textarea "Ask General Questions or Request Library/Application do you need?"
 static "**Please do not submit bugs or operational issues here**" static "**Please do not submit bugs or operational issues here**"
 submit "Submit Query" submit "Submit Query"
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 **Note:** Python Keras and Tensorflow can be used on any workstation, Only three workstations have GPUs (limulus7-tf, limulus8-tf, limulus9-tf), however both Keras and Tensorflow will run without using a GPU (applications will run slower). **Note:** Python Keras and Tensorflow can be used on any workstation, Only three workstations have GPUs (limulus7-tf, limulus8-tf, limulus9-tf), however both Keras and Tensorflow will run without using a GPU (applications will run slower).
 +
 +**Testing:** You can test tensorflow using the following: (on limulus7-tf, limulus8-tf, limulus9-tf)
 +
 +<code>
 +$ use_conda
 +$ python   /opt/cluster/public/apps/testing/test-cuda.py 
 +
 +Num CPUs Available:  1
 +Num GPUs Available:  1
 +</code>
 +
 +GPUs will be present on limulus7-tf, limulus8-tf, limulus9-tf, all otheer nodes will show just one CPU.
 +
 +**GPU Monitoring:** You can use ''nvidia-smi'' to monitor the GPU. You must be logged into the GPU system.
 +
 +<code>
 +$nvidia-smi 
 +Thu Oct  9 12:12:01 2025       
 ++-----------------------------------------------------------------------------+
 +| NVIDIA-SMI 520.61.05    Driver Version: 520.61.05    CUDA Version: 11.8     |
 +|-------------------------------+----------------------+----------------------+
 +| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
 +| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
 +|                                                    |               MIG M. |
 +|===============================+======================+======================|
 +|    NVIDIA GeForce ...  Off  | 00000000:01:00.0 Off |                  N/A |
 +| 28%   29C    P8     5W / 180W |      0MiB /  8192MiB |      0%      Default |
 +|                                                    |                  N/A |
 ++-------------------------------+----------------------+----------------------+
 +                                                                               
 ++-----------------------------------------------------------------------------+
 +| Processes:                                                                  |
 +|  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
 +|        ID   ID                                                   Usage      |
 +|=============================================================================|
 +|  No running processes found                                                 |
 ++-----------------------------------------------------------------------------+
 +</code>
how_do_i.1702679383.txt.gz · Last modified: 2023/12/15 22:29 by deadline

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