| allowWGCNAThreads | R Documentation |
These functions allow and disable multi-threading for WGCNA calculations that can optionally be
multi-threaded, which includes all functions using cor
or bicor functions.
allowWGCNAThreads(nThreads = NULL)
enableWGCNAThreads(nThreads = NULL)
disableWGCNAThreads()
WGCNAnThreads()
nThreads |
Number of threads to allow. If not given, the number of processors online (as reported by system configuration) will be used. There appear to be some cases where the automatically-determined number is wrong; please check the output to see that the number of threads makes sense. Except for testing and/or torturing your system, the number of threads should be no more than the number of actual processors/cores. |
allowWGCNAThreads enables parallel calculation within the compiled code in WGCNA, principally for
calculation of correlations in the presence of missing data. This function is now deprecated; use
enableWGCNAThreads instead.
enableWGCNAThreads enables parallel calculations within user-level R functions as well as within the
compiled code, and registers an
appropriate parallel calculation back-end for the operating system/platform.
disableWGCNAThreads disables parallel processing.
WGCNAnThreads returns the number of threads (parallel processes) that WGCNA is currently configured
to run with.
allowWGCNAThreads, enableWGCNAThreads, and disableWGCNAThreads return the
maximum number of threads WGCNA calculations will be allowed to use.
Multi-threading within compiled code is not available on Windows; R code parallelization works on all platforms.
Peter Langfelder
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