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--- compute:step2 [2023/04/24 10:23] – bjorns
+++ compute:step2 [2024/10/14 14:24] (current) – external edit 127.0.0.1
@@ Line 14: / Line 14: @@
 |''#SBATCH --mem=4G''|Job wants 4gb on memory|
 |''#SBATCH --time=0''|Time limit on my job e.g. time=11::00 (11 hours), 0 means nolimit|
-|''#SBATCH --partition=Lokaverk''|Run job on this queue|
+|''#SBATCH --partition=Lokaverk''|Send job to run this queue|
 |''#SBATCH <nowiki>--</nowiki>output=myBatch.log''|Log file for environment & slurm|
 |python3 file.py | you put your run command after the directives|
@@ Line 20: / Line 20: @@
 When you job need GPU add this line to you slurm cmd file\\
 #SBATCH %%--%%gpus-per-node=1\\
-**Note** : We recommend all students in this 3-week-course run their GPU job for a short time, using "--time=hh:MM" slurm directive, so all jobs get some GPU time\\
+**Note** : We recommend all students in this 3-week-course run their **GPU job** for a short time, using "--time=hh:MM" slurm directive, so all jobs get some GPU time\\
 ==Other slurm directives==
 #SBATCH %%--%%mem-per-cpu=2G\\
 #SBATCH %%--%%cpus-per-task=2 : 2 cores per process/task\\
-#SBATCH %%--%%ntasks-per-node=4 : 4 procees per node(worker\\
+#SBATCH %%--%%ntasks-per-node=4 : 4 procees per node/worker\\
+[[https://slurm.schedmd.com/sbatch.html|Slurm sbatch]]\\
 ===Tools and libraries installed===
 CUDA toolkit version 11,7\\