start_parallel: Start parallel computational processes

In andrewhooker/PopED: Population (and Individual) Optimal Experimental Design

Start parallel computational processes

Description

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".

andrewhooker/PopED documentation built on Oct. 10, 2024, 12:08 a.m.