Displaying 1 result from an estimated 1 matches for "_forked_".
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_forced_
2019 Apr 11
2
SUGGESTION: Settings to disable forked processing in R, e.g. parallel::mclapply()
...essing in R.
One could set environment variable `MC_CORES=1` which will set R
option `mc.cores=1` when the parallel package is loaded. Since
`mc.cores = getOption("mc.cores", 2L)` is the default for
`parallel::mclapply()`, this will cause `mclapply()` to fall back to
`lapply()` avoiding _forked_ processing. However, this does not work
when the code specifies argument `mc.cores`, e.g. `mclapply(...,
mc.cores = detectCores())`.
SUGGESTION:
Introduce environment variable `R_ENABLE_FORKS` and corresponding R
option `enable.forks` that both take logical scalars. By setting
`R_ENABLE_FORKS=f...