search for: mcaffin

I'd like to importFrom(parallel, mccollect, mcparallel) but on Windows these are not exported because this if(tools:::.OStype() == "unix") { export(mccollect, mcparallel, mc.reset.stream, mcaffinity) } appears at src/library/parallel/NAMESPACE:6 of svn r61857. So should I be doing if (tools:::.OStype() == "unix") { importFrom(parallel, mccollect, mcparallel) } in my NAMESPACE? I have a recollection that this has come up before, perhaps even in the parallel package, but I&...

When using multicore-forking of the parallel package, is it possible for a child process to know that it is a fork? Something like: parallel::mclapply(1:10, FUN = function(i) { test_if_running_in_a_fork() }) I'm looking into ways to protect against further parallel processes (including threads), which not necessarily are created via the parallel:mc* API, are being spawned off recursively.

...n R. Another method would be to look at getppid(2) and getpgid(2) to lookup the parent-id and group-id of the current process and test if it matches that of the (parent) R process. If you are only interested in limiting further parallelization within the fork, perhaps you can simply use parallel::mcaffinity to restrict the forked process to a single core.

Hi all, I am quite new in the world of parallelization and I wonder if there is a way to increase the speed of creation of a parallel socket cluster. The time spend to include threads increase exponentially with the number of thread considered and I use of computer with two 8 cores CPU and thus showing a total of 32 threads in windows 7. Currently, I use the default parameters (type =

In the 'parallel' package there is detectCores(), which tries its best to infer the number of cores on the current machine. This is useful if you wish to utilize the *maximum* number of cores on the machine. Several are using this to set the number of cores when parallelizing, sometimes also hardcoded within 3rd-party scripts/package code, but there are several settings where you wish to

....External() calls to the base package (really to the R executable or shared library) have been moved to more appropriate packages. Packages should not have been using such calls, but some did (mainly those used by integrate()). PACKAGE parallel: o There is a new function mcaffinity() which allows getting or setting the CPU affinity mask for the current R process on systems that supports this (currently only Linux has been tested successfully). It has no effect on systems which do not support process affinity. Users are not expected to use this fun...

....External() calls to the base package (really to the R executable or shared library) have been moved to more appropriate packages. Packages should not have been using such calls, but some did (mainly those used by integrate()). PACKAGE parallel: o There is a new function mcaffinity() which allows getting or setting the CPU affinity mask for the current R process on systems that supports this (currently only Linux has been tested successfully). It has no effect on systems which do not support process affinity. Users are not expected to use this fun...