Start parallel computational processes — start

This tool chooses the type of parallelization process to use based on the computer OS being used. For windows the default is "snow" and for Linux-like systems the default is "multicore"

Usage

start_parallel(
  parallel = TRUE,
  num_cores = NULL,
  parallel_type = NULL,
  seed = NULL,
  dlls = NULL,
  mrgsolve_model = NULL,
  ...
)

Arguments

parallel: Should the parallel functionality start up?
num_cores: How many cores to use. Default is parallel::detectCores()-1 . See detectCores for more information.
parallel_type: Which type of parallelization should be used? Can be "snow" or "multicore". "snow" works on Linux-like systems & Windows. "multicore" works only on Linux-like systems. By default this is chosen for you depending on your operating system.
seed: The random seed to use.
dlls: If the computations require compiled code (DLL's) and you are using the "snow" method then you need to specify the name of the DLL's without the extension as a text vector c("this_file","that_file").
mrgsolve_model: If the computations require a mrgsolve model and you are using the "snow" method" then you need to specify the name of the model object created by mread or mcode
...: Arguments passed to makeCluster

Value

An atomic vector (TRUE or FALSE) with two attributes: "type" and "cores".