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--- language_lab:cluster [2023/01/05 11:35] – bjorns
+++ language_lab:cluster [2024/10/14 14:24] (current) – external edit 127.0.0.1
@@ Line 1: / Line 1: @@
-======Smallvoice - the Language and Voice lab computing cluster======
+======SoT cluster - the School of Technology computing cluster======
 \\
  **Smallvoice**, uses [[https://slurm.schedmd.com|Slurm]] workload manager to create a computing cluster\\
-The Cluster has 6 nodes :\\
-^Node name ^ Role(s) ^
-|**atlas**|management node, worker|
-|**freedom**|**login** node, worker|
-|hercules|worker node|
-|samson|worker node|
-|goliath|worker node|
-|obelix|worker node|
-When logged on to the cluster user is always on the login node, **freedom** and does all his work there.\\ /home (& work) are hosted on a NFS server, so every nodes have the **same** "physical" disks\\
+When logged on to the cluster user is always on the login node, called **freedom** and should do all his work there.\\ Home folder for all users are hosted on a NFS server, so every nodes have the **same** "physical" disks\\
+All user-jobs should run using slurm sbatch job.sh, please do not run job locally on the login node\\
 \\
 === The computing (slurm) environment ===
-There are 3 partitions / queue's available\\
+There are 2 partitions (queue's)\\
-^Name^Cores^Memory(gb)^Nodes^GPU^Timelimit^Usage^
+^Name^Nodes^GPU^Timelimit^
-|allWork|16+18+12+12|64+40+48+48|4|Nvidia A100 GPU|7 days|staff only|
+|basic|3|Nvidia A100 GPU|31 hours|
-|doTrain|16+18+12+18|64+40+48+40|4|Nvidia A100 GPU|no limit|staff only|
+|lvlWork|3|Nvidia A100 GPU|no limit|
-|beQuick|18+12|40+48|2|Nvidia A100 GPU|36 hours|for students|
-\\
-The default queue for staff is doTrain (and beQuick for student) so it's not necessery to choose a queue, but it's possible to specify a different one.\\
+The **default** queue for both student and staff is basic, so it's not necessery to choose a queue in your script file, but it's possible to specify a different one.\\
 ===Installed software and drivers===
  * **NVIDIA** A100 GPU drivers\\
  * **CuDA toolkit** [version 11.7]\\
- * Intel oneAPI Math Kernel Library\\
+ * Python 3.9.7\\
- * Python 3.9.2\\
  * pip 20.3.4\\
+ * ffmpeg + sox
+If additional software is needed or different version, you can ask sysadmin (help@ru.is) for assistance\\