Merge branch 'master' of gitlab.rlp.net:pbotte/workload-manager

README.md

@@ -12,7 +12,27 @@ mpirun -n 4 ./wkmgr.py -v date
 
 or for multi nodes:
 ```bash
-srun -n 4 ./wkmgr.py -v date
+salloc -p parallel --reservation=himkurs -A m2_himkurs -N 1 -t 1:00:00
+module load math/SUNDIALS/2.7.0-intel-2018.03
+module load lang/Python/3.6.6-foss-2018b
+srun -n 20 ~/workload-manager/wkmgr.py -v ~/workload-manager/examples/LGS/PulsedLGS ~/workload- manager/examples/LGS/Run27_LaPalma_Profile_I50
 ```
 
-with loader (untested on cluster so far) replace `wkmgr.py` with `wkloader.py`.
\ No newline at end of file
+with loader (untested on cluster so far) replace `wkmgr.py` with `wkloader.py`.
+
+## Hints
+
+### When to Use
+- Single fast analysis step (eg your analysis file runs for only a minute)
+- 1000's or more single analysis steps
+- Usage of all cores in node exclusive partitions (Mogon 2, not on HIMster 2)
+
+
+### Comparision
+
+- Queue based work distribution, equal work distribution (in contrast to SLURM multiprog or [staskfarm](https://github.com/cmeesters/staskfarm) from [MogonWiki Node local scheduling](https://mogonwiki.zdv.uni-mainz.de/dokuwiki/node_local_scheduling))
+- Usage of MPI: 
+  - large connected jobs (>200 cores) are preferred by the job manager
+  - efficiently supports both node local and multi node usage 
+  - keeps environment , also in multi node sutiations (with GNU parallel only on node local)
+- Usage of Python makes changes for users simple