Differences

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--- how_do_i [2022/03/03 19:45] – [Using Python] deadline
+++ how_do_i [2025/10/09 16:33] (current) – [Use TensorFlow] deadline
@@ Line 3: / Line 3: @@
 This page include answers to many of the commonly asked questions about the cluster. Please send any questions you may have to ''deadline@basement-supercomputing.com'' For a faster response use DSL in the subject line.
+==== Request Library or Application ====
+As a valid user with a login account, you may request libraries (i.e. Python libraries) or an application to be installed on the DSL cluster. Keep in mind not all libraries/applications can be installed due to compatibility issues.
+<form>
+Action mail deadline@eadline.org,sjagannathan@saintpeters.edu
+Thanks "Thanks for your submission."
+Fieldset "Need Help with Library or Applications?"
+Textbox  "Name (first/ last)" "=Your Name"
+Textbox "Your Login"  "=Login"
+email "Your E-Mail Address" "=Email Address"
+textarea "Ask General Questions or Request Library/Application do you need?"
+static "**Please do not submit bugs or operational issues here**"
+submit "Submit Query"
+</form>
 ==== Transfer Files To/From the Cluster ====
 (14-Feb-2022)
@@ Line 216: / Line 234: @@
 **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. |
+|===============================+======================+======================|
+|   0  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>