> Le 11 janv. 2021 à 16:26, Kasper Daniel Hansen > a écrit : > > Jean: _guessing_ this may be about parallel processing in BLAS? Does your > timing include linear algebra? Yes it is mostly linear algebra, but the slowdown is the same in parallel processing and in single processor mode (4
Jean: _guessing_ this may be about parallel processing in BLAS? Does your timing include linear algebra? On Mon, Jan 11, 2021 at 2:38 PM Jean Thioulouse < jean.thioulo...@univ-lyon1.fr> wrote: > Hi > > Both versions seem to run fine indeed, but on my Mac mini M1, the arm > version (homebrew R)
Hi Both versions seem to run fine indeed, but on my Mac mini M1, the arm version (homebrew R) is much slower than the intel version (CRAN R), which is quite disappointing. The speed ratio I get is about 4 times slower for the arm version compared to the intel version, both in single processor
I have been using both Rosetta emulation and the homebrew builds and everything looks very good so far. Here are two Twitter threads on M1 benchmarks. https://twitter.com/fxcoudert/status/1342598509418176514?s=20 https://twitter.com/dngman/status/1342580260815200257?s=20 Best, Denis On Mon,
I use the homebrew R for the Intel and then install.packages(), update.package() from scripts and Rstudio’s Tools->. I don’t have an M1 (yet) but would be interested in seeing how that works on the M1. Probably this will pull the sources and hence I would be grateful to read about that.
There is a [native arm64 big sur binary](https://github.com/Homebrew/homebrew-core/blob/8a6807be6abb44634e7d6d153348b6bba2a5ddc6/Formula/r.rb#L16) in homebrew since some days. On 10 Jan 2021, at 22:39, Gregory Coats via R-SIG-Mac wrote: > I purchased a new 13 inch Apple MacBook Pro with the