Background
Currently (2022-04-24), CRAN builds R 4.2 binaries for Apple silicon using Apple clang
from Command Line Tools for Xcode 13.1 and using an experimental fork of GNU Fortran 12.
If you obtain R from CRAN (i.e., here), then you need to replicate CRAN’s compiler setup on your system before building R packages that contain C/C++/Fortran code from their sources (and before using Rcpp
, etc.). This requirement ensures that your package builds are compatible with R itself.
A further complication is the fact that Apple clang
doesn’t support OpenMP, so you need to do even more work to compile programs that make use of multithreading. You could circumvent the issue by building R itself and all R packages from sources with LLVM clang
, which does support OpenMP, but that approach is onerous and “for experts only”.
There is another approach that has been tested by a few people, including Simon Urbanek, the maintainer of R for macOS. It is experimental and also “for experts only”, but it works on my machine and is much simpler than learning to build R yourself.
Instructions for obtaining a working toolchain
Warning: These come with no warranty and could break at any time. Some level of familiarity with C/C++/Fortran program compilation, Makefile syntax, and Unix shells is assumed. Everyone is encouraged to consult official documentation, which is more likely to be maintained than answers on SO. As usual, sudo
at your own risk.
I will try to address compilers and OpenMP support at the same time. I am going to assume that you are starting from nothing. Feel free to skip steps you’ve already taken, though you might find a fresh start helpful.
I’ve tested these instructions on a machine running Big Sur, and at least one person has tested them on a machine running Monterey. I would be glad to hear from others.
-
Download an R 4.2 binary from CRAN here and install. Be sure to select the binary built for Apple silicon.
-
Run
$ sudo xcode-select --install
in Terminal to install the latest release version of Apple’s Command Line Tools for Xcode, which includes Apple
clang
. You can obtain earlier versions from your browser here. However, the version that you install should not be older than the one that CRAN used to build your R binary. -
Download the
gfortran
binary recommended here and install by unpacking to root:$ curl -LO https://mac.r-project.org/tools/gfortran-12.0.1-20220312-is-darwin20-arm64.tar.xz $ sudo tar xvf gfortran-12.0.1-20220312-is-darwin20-arm64.tar.xz -C / $ sudo ln -sfn $(xcrun --show-sdk-path) /opt/R/arm64/gfortran/SDK
The last command updates a symlink inside of the
gfortran
installation so that it points to the SDK inside of your Command Line Tools installation. -
Download an OpenMP runtime suitable for your Apple
clang
version here and install by unpacking to root. You can query your Appleclang
version withclang --version
. For example, I have version 1300.0.29.3, so I did:$ curl -LO https://mac.r-project.org/openmp/openmp-12.0.1-darwin20-Release.tar.gz $ sudo tar xvf openmp-12.0.1-darwin20-Release.tar.gz -C /
After unpacking, you should find these files on your system:
/usr/local/lib/libomp.dylib /usr/local/include/ompt.h /usr/local/include/omp.h /usr/local/include/omp-tools.h
-
Add the following lines to
$(HOME)/.R/Makevars
, creating the file if necessary.CPPFLAGS+=-I/usr/local/include -Xclang -fopenmp LDFLAGS+=-L/usr/local/lib -lomp FC=/opt/R/arm64/gfortran/bin/gfortran -mtune=native FLIBS=-L/opt/R/arm64/gfortran/lib/gcc/aarch64-apple-darwin20.6.0/12.0.1 -L/opt/R/arm64/gfortran/lib -lgfortran -lemutls_w -lm
-
Run R and test that you can compile a program with OpenMP support. For example:
if (!requireNamespace("RcppArmadillo", quietly = TRUE)) { install.packages("RcppArmadillo") } Rcpp::sourceCpp(code=" #include <RcppArmadillo.h> #ifdef _OPENMP # include <omp.h> #endif // [[Rcpp::depends(RcppArmadillo)]] // [[Rcpp::export]] void omp_test() { #ifdef _OPENMP Rprintf("OpenMP threads available: %d\\n", omp_get_max_threads()); #else Rprintf("OpenMP not supported\\n"); #endif } ") omp_test()
OpenMP threads available: 8
If the C++ code fails to compile, or if it compiles without error but you get linker warnings or you find that OpenMP is not supported, then one of us has probably made a mistake. Please report any issues.
References
Everything is a bit scattered:
- R Installation and Administration manual https://stackoverflow.com/questions/70638118/configuring-compilers-on-mac-m1-big-sur-monterey-for-rcpp-and-other-tools
- R for macOS Developers page https://stackoverflow.com/questions/70638118/configuring-compilers-on-mac-m1-big-sur-monterey-for-rcpp-and-other-tools