mclapplySB: Size balancing version of mclapply

In datacloning/dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Size balancing version of mclapply

Description

mclapplySB is a size balancing version of mclapply.

Usage

mclapplySB(X, FUN, ..., 
    mc.preschedule = TRUE, mc.set.seed = TRUE,
    mc.silent = FALSE, mc.cores = 1L,
    mc.cleanup = TRUE, mc.allow.recursive = TRUE, 
    size = 1)

Arguments

X	a vector (atomic or list) or an expressions vector. Other objects (including classed objects) will be coerced by as.list.
FUN	the function to be applied to each element of X
...	optional arguments to FUN
mc.preschedule	see mclapply
mc.set.seed	see mclapply
mc.silent	see mclapply
mc.cores	The number of cores to use, i.e. how many processes will be spawned (at most)
mc.cleanup	see mclapply
mc.allow.recursive	see mclapply
size	Vector of problem sizes (or relative performance information) corresponding to elements of X (recycled if needed). The default 1 indicates equality of problem sizes.

Details

mclapply gives details of the forking mechanism.

mclapply is used unmodified if sizes of the jobs are equal (length(unique(size)) == 1). Size balancing (as described in parDosa) is used to balance workload on the child processes otherwise.

Value

A list.

Author(s)

Peter Solymos

See Also

mclapply, parDosa

datacloning/dclone documentation built on Sept. 29, 2024, 3:21 p.m.