Changes between Version 3 and Version 4 of frontera

Timestamp:

10/16/23 15:24:22 (16 months ago)

Author:

mkrishna

Comment:

--

frontera

@@ -116 +116 @@
 
 where JOBID is the ID of your job (indicated in the Matlab session). Matlab indicates too the directory of your job where you can find the files `JOBNAME.outlog` and `JOBNAME.errlog`. The outlog file contains the informations that would appear if you were running your job on your local machine and the errlog file contains the error information in case the job encounters an error. 
+
+== Use DeepXDE  ==
+Discovery supports container by a software called `apptainer` [https://apptainer.org]. A precompiled DeepXDE image with Tensorflow v.2 backend is available at docker://chenggongdartmouth/deepxde:v1.2 or at docker://mkrish234/deepxde:v0.3 . 
+
+You might need to build an appraiser image from the Docker image in Frontera. 
+First find the path to your login node on Frontera with `pwd`. Then, allocate a compute node with the following 
+{{{
+idev -m 60 -p rtx -N 1 -n 8
+}}}
+Build the apptainer image from the Docker image as follows
+{{{
+apptainer build <PATH_TO_LOGIN_NODE>/deepxde docker://mkrish234/deepxde:v0.3
+}}}
+
+The following is an example of using DeepXDE to run a script ./test.py on Frontera (with GPU node):
+{{{
+#!/bin/bash
+
+#SBATCH -J job_name           # job name
+#SBATCH -o output.%j          # output file named, output.jobID
+#SBATCH -e error.%j           # error file named, error.jobID
+#SBATCH -p rtx                # queue name
+#SBATCH -N 1                  # number of nodes requested
+#SBATCH --ntasks-per-node 4   # tasks per node
+#SBATCH -t 10:00:00           # time, hh:mm:ss
+#SBATCH --mail-user=<EMAIL_ADDRESS>
+#SBATCH --mail-type=all
+
+module load tacc-apptainer
+stdbuf -i0 -o0 -e0 apptainer exec --nv --bind ~/:/mnt ~/deepxde python -u /mnt/test.py
+}}}