doParallel performance on windows edition R

[ygidtu]

When I try to use scImpute, the ncores is useless. It will use all the CPU resources automatically.

As far as I know, Windows system has different parallel mechanism with Unix-based system like: Linux and OSX. Therefore the doParallel package design different usages for Windows and Unix. (Please see: https://stackoverflow.com/questions/45819337/option-cores-from-package-doparallel-useless-on-windows).

And the point is the R installed by conda is a Windows edition. So I compared the difference between system default R (3.5.2; Ubuntu 16.04) and conda installed R (3.5.1; Platform x86_64-conda_cos6-linux-gnu).

So can you check how to avoid this issue?

[aziway53]

"ncores = 1" is working on windows, is it ok?

[ygidtu]

"ncores = 1" is working on windows, is it ok?

I didn't test on a Windows version of R, I just very positive this is due to conda R.
And the conda R is not regular version of R, it's microsoft enhanced distribution of R (MRAN: https://mran.microsoft.com/open).
So I guess this is the reason