Differences

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

--- slurm [2021/10/15 12:45] – [Where to begin] ctopper
+++ slurm [2025/01/13 12:45] (current) – [Where to begin] amcguire
@@ Line 16: / Line 16: @@
 ==== Discord ====
-There is a dedicated text channel ''%%#slurm%%'' on [[http://discord.gg/ZVjX8Gv|the CS Discord server]]. Stop by and get help or help fellow Slurm users.
+There is a dedicated text channel ''%%#slurm%%'' on the UChicago CS Discord server. Please note that this Discord server is //only// for UChicago-affiliated users. You can find a link to our Discord server on the [[start|front page]] of this wiki.
 ===== Clusters =====
@@ Line 27: / Line 27: @@
 ==== Peanut Cluster ====
-Think of these machines as a dumping ground for discrete computing tasks that might be rude or disruptive to execute on the main (shared) shell servers (i.e., linux1, linux2, linux3).
+Think of these machines as a dumping ground for discrete computing tasks that might be rude or disruptive to execute on the main (shared) shell servers (i.e., ''focal0'', ''focal1'', ..., ''focal7'').
 Additionally, this cluster is used for courses that require it.
@@ Line 39: / Line 39: @@
 ===== Where to begin =====
-Slurm is a set of command line utilities that can be accessed via the command line from **most** any computer science system you can login to. Using our main shell servers (linux.cs.uchicago.edu) is expected to be our most common use case, so you should start there.
+Slurm is a set of command line utilities that can be accessed via the command line from **most** any computer science system you can login to. Using our main shell servers (''linux.cs.uchicago.edu'') is expected to be our most common use case, so you should start there.
   ssh user@linux.cs.uchicago.edu
@@ Line 347: / Line 347: @@
 Please make sure you specify $CUDA_HOME and if you want to take advantage of CUDNN libraries you will need to append /usr/local/cuda-x.x/lib64 to the $LD_LIBRARY_PATH environment variable.
-  cuda_version=9.2
+  cuda_version=11.1
   export CUDA_HOME=/usr/local/cuda-${cuda_version}
   export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:$CUDA_HOME/lib64
@@ Line 415: / Line 415: @@
 STDOUT will look something like this:
 <code>
-cnetid@linux1:~$ cat $HOME/slurm/slurm_out/12567.gpu1.stdout
+cnetid@focal0:~$ cat $HOME/slurm/slurm_out/12567.gpu1.stdout
 Device Number: 0
   Device name: Tesla M2090