makeClusterFunctionsMulticore: ClusterFunctions for Parallel Multicore Execution

In mllg/batchtools: Tools for Computation on Batch Systems

ClusterFunctions for Parallel Multicore Execution

Description

Jobs are spawned asynchronously using the functions mcparallel and mccollect (both in parallel). Does not work on Windows, use makeClusterFunctionsSocket instead.

Usage

makeClusterFunctionsMulticore(ncpus = NA_integer_, fs.latency = 0)

Arguments

ncpus	[integer(1)] Number of CPUs. Default is to use all logical cores. The total number of cores "available" can be set via the option mc.cores and defaults to the heuristic implemented in detectCores.
fs.latency	[numeric(1)] Expected maximum latency of the file system, in seconds. Set to a positive number for network file systems like NFS which enables more robust (but also more expensive) mechanisms to access files and directories. Usually safe to set to 0 to disable the heuristic, e.g. if you are working on a local file system.

Value

[ClusterFunctions].

See Also

Other ClusterFunctions: makeClusterFunctionsDocker(), makeClusterFunctionsInteractive(), makeClusterFunctionsLSF(), makeClusterFunctionsOpenLava(), makeClusterFunctionsSGE(), makeClusterFunctionsSSH(), makeClusterFunctionsSlurm(), makeClusterFunctionsSocket(), makeClusterFunctionsTORQUE(), makeClusterFunctions()

mllg/batchtools documentation built on April 21, 2023, 11:49 a.m.