Control whether multi-core processing is used by wordspace functions (if available) and how many threads are run in parallel. See "Details" below for more information.
wordspace.openmp(threads = NULL)
if specified, number of parallel threads to be used for multi-core processing
wordspace package has experimental support for multi-core processing using OpenMP on some platforms.
So far, only the
dist.matrix function uses multi-core processing (for all distance measures except
Even where supported, OpenMP is not enabled by default and has to be activated explicitly with
the number of parallel threads to be used.
wordspace.openmp() without arguments to find out whether OpenMP is supported on your platform
and obtain information about the maximum number of threads available as well as the current setting.
Note that multi-threading of other R packages and functions (such as optimised matrix algebra in the BLAS library) is never affected by this function.
threads is unspecified or
NULL, a data frame with a single row and the following information is returned:
maximum number of threads that can be used (0 if not available)
currently selected number of threads (defaults to 1 if not available)
Stephanie Evert (https://purl.org/stephanie.evert)
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