availableCores(constraints = NULL,
methods = getOption("future.availableCoresMethods", c("system",
"mc.cores+1", "_R_CHECK_LIMIT_CORES_", "Slurm", "PBS")), na.rm = TRUE,
default = c(current = 1L), which = c("min", "max", "all"))constrains="multicore" will force a
single core "min", the minimum value is returned.
If "max", the maximum value is returned (be careful!)
If "all", all values are returned.which="all", then more than one value may be returned.
Together with na.rm=FALSE missing values may also be returned."system"-
QuerydetectCores()."mc.cores+1"-
If available, returns the value of optionmc.cores+ 1.
Note thatmc.coresis defined as the number ofadditionalR processes that can be used in addition to the
main R process. This means that withmc.cores=0all
calculations should be done in the main R process, i.e. we have
exactly one core available for our calculations.
Themc.coresoption defaults to environment variableMC_CORES(and is set accordingly when themc.coresoption is used by for
instancemclapply()."PBS"-
Query Torque/PBS environment variablePBS_NUM_PPN.
Depending on PBS system configuration, thisresourceparameter
may or may not default to one. It can be specified when submitting
a job as in, for instance,qsub -l nodes=4:ppn=2, which
requests four nodes each with two cores."Slurm"-
Query Simple Linux Utility for Resource Management (Slurm)
environment variableSLURM_CPUS_PER_TASK.
This may or may not be set. It can be set when submitting a job,
e.g.sbatch --cpus-per-task=2 hello.shor by adding#SBATCH --cpus-per-task=2} to the `hello.sh` script.For any other value of amethodselement, the R option with the
same name is queried. If that is not set, the system environment
variable is queried. If neither is set, a missing value is returned.