R: Get/Set the number of threads that RxODE uses

getRxThreads {RxODE} | R Documentation

## Get/Set the number of threads that RxODE uses

### Description

Get/Set the number of threads that RxODE uses

### Usage

    getRxThreads(verbose = FALSE)

    setRxThreads(threads = NULL, percent = NULL, throttle = NULL)

    rxCores(verbose = FALSE)

### Arguments

`verbose` | Display the value of relevant OpenMP settings
`threads` | NULL (default) rereads environment variables. 0 means to use all logical CPUs available. Otherwise a number >= 1
`percent` | If provided it should be a number between 2 and 100; the percentage of logical CPUs to use. By default on startup, 50 percent.
`throttle` | 2 (default) means that, roughly speaking, a single thread will be used when number subjects solved for is <=2, 2 threads when the number of all points is <=4, etc. The throttle is to speed up small data tasks (especially when repeated many times) by not incurring the overhead of managing multiple threads. The throttle will also suppress sorting which ID will be solved first when there are (nsubject solved)*throttle <= nthreads. In `RxODE` this sorting occurs to minimize the time for waiting for another thread to finish. If the last item solved is has a long solving time, all the other solving have to wait for that last costly solving to occur. If the items which are likely to take more time are solved first, this wait is less likely to have an impact on the overall solving time. In RxODE the IDs are sorted by the individual number of solving points (largest first). It also has a C interface that allows these IDs to be resorted by total time spent solving the equation. This allows packages like nlmixr to sort by solving time if needed. Overall the the number of threads is throttled (restricted) for small tasks and sorting for IDs are suppressed.

### Value

number of threads that RxODE uses

[Package RxODE version 1.0.9 Index]