Differences

This shows you the differences between two versions of the page.

--- how_do_i [2024/03/11 00:02] – [Request Library or Application] deadline
+++ how_do_i [2025/10/09 16:33] (current) – [Use TensorFlow] deadline
@@ Line 234: / 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>