Difference between revisions of "Submit R jobs on Abel"
From mn/geo/geoit
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export OMP_NUM_<span id="cke_bm_104E" style="display: none" data-cke-bookmark="1"> </span>THREADS=12 | export OMP_NUM_<span id="cke_bm_104E" style="display: none" data-cke-bookmark="1"> </span>THREADS=12 | ||
module load R openmpi.gnu</pre><pre>mpirun -np 1 R CMD BATCH --no-save --no-restore R_program.r | module load R openmpi.gnu</pre><pre>mpirun -np 1 R CMD BATCH --no-save --no-restore R_program.r | ||
| + | </pre> | ||
| + | #End of script | ||
| − | + | [[Category:Tools]] [[Category:Software]] [[Category:R]] [[Category:Abel]] | |
| − | |||
| − | |||
Revision as of 11:05, 27 April 2015
This is an example of a Matlab submit script for use on the Abel cluster. Abel usage is documented at UiOs HPC pages
For normal off-line non-parallell R running on any Linux server, you can simply do e.g.
module load R R CMD BATCH R_program.r
For large jobs, this script should set you up OK at the Abel cluster:
#!/bin/bash<br/># Job name:<br/>#SBATCH --job-name=R # # Project (change to your : #SBATCH --account=geofag # # Wall clock limit: #SBATCH --time=1000:0:0 # # Max memory usage per core (MB): #SBATCH --mem-per-cpu=2000M # # Number of tasks (cores): #SBATCH --ntasks-per-cpu=12 # ##Setup job environment source /cluster/bin/jobsetup #Load R module module load R #Set variable with number of processors and load mpi export OMP_NUM_<span id="cke_bm_104E" style="display: none" data-cke-bookmark="1"> </span>THREADS=12 module load R openmpi.gnu
mpirun -np 1 R CMD BATCH --no-save --no-restore R_program.r
- End of script
