When running R code that contains multi-threaded libraries, by default, R detects the systems core count and will attempt to start an equal number of threads. Because of this, the job will perform badly as there is likely a mismatch between the cores requested in the slurm job compared to the number of threads that were started by R per the detected cores on the compute node. In addition to being bad for your job’s performance, the jobs create a high load on our compute nodes and cause some undesirable behavior. To prevent this issue from occurring, the following code segments should be added to your R script:

In general, the options above should be used at minimum. However; there is usually additional changes to be made to your script for each parallel library loaded. These options are usually something like ncores,cores, or num.threads.