From a507ec74648a90d783f81135e4db7a15885267dd Mon Sep 17 00:00:00 2001
From: Martin Schroschk <martin.schroschk@tu-dresden.de>
Date: Thu, 2 May 2024 12:13:18 +0200
Subject: [PATCH] Spring clean: Remove partition; use cluster
- Remove jobname from job file, since it provides no additional value
here
---
.../docs/jobs_and_resources/slurm_examples.md | 7 +++----
1 file changed, 3 insertions(+), 4 deletions(-)
diff --git a/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md b/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
index bd317354d..c28932a8d 100644
--- a/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
+++ b/doc.zih.tu-dresden.de/docs/jobs_and_resources/slurm_examples.md
@@ -8,8 +8,8 @@ depend on the type of parallelization and architecture.
### OpenMP Jobs
An SMP-parallel job can only run within a node, so it is necessary to include the options `--node=1`
-and `--ntasks=1`. The maximum number of processors for an SMP-parallel program is 896 on
-partition `taurussmp8`, as described in the
+and `--ntasks=1`. The maximum number of processors for an SMP-parallel program is 896 on the cluster
+[`Julia`](julia.md) as described in the
[section on memory limits](slurm_limits.md#slurm-resource-limits-table). Using the option
`--cpus-per-task=<N>` Slurm will start one task and you will have `N` CPUs available for your job.
An example job file would look like:
@@ -22,8 +22,7 @@ An example job file would look like:
#SBATCH --tasks-per-node=1
#SBATCH --cpus-per-task=8
#SBATCH --time=08:00:00
- #SBATCH --job-name=Science1
- #SBATCH --mail-type=end
+ #SBATCH --mail-type=start,end
#SBATCH --mail-user=<your.email>@tu-dresden.de
export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK
--
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