6/17/2023 0 Comments Brew install openmpSo this is all awesome, but there's a catch. If you are interested in how this works and how to integrate it into your own R packages, check out the Parallelism, R, and OpenMP guide by Drew Schmidt. I recently ran into a package that had the capability of using OpenMP to perform computation in parallel and take advantage of my MacBook Pro's multi-core processor to the fullest. In that case, you'll need to install them from source and make sure you get the compilation environment right. Using a pre-compiled package is almost never a problem, except when the default options don't fit your requirements. ![]() ![]() ![]() But when you install a package in OS X you will probably get a pre-compiled version of said package from CRAN that used their build environment and the default package options. Lots of R packages have underlying implementations in C and C++, so they need to be compiled to function properly.
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