The good news is that it works fine in the last arm64 R-devel version:
> a <- mpfr(1:10, precBits=100)
> a
10 'mpfr' numbers of precision 100 bits
[1] 1 2 3 4 5 6 7 8 9 10
> sessionInfo()
R Under development (unstable) (2021-02-18 r80027)
Platform: aarch64-apple-darwin20.0
Hi
- On Intel Macs:
R 4.0.3 binary is available for macOS 10.13 (High Sierra) and higher (including
Big Sur).
- On M1 Macs (Big Sur) :
You can use the above R binary in Rosetta mode (faster than on most intel macs)
And, if you are "intrepid" (according to Prof. Ripley): There is an
Is there a large speed difference for linear algebra operations between the
Rosetta x86_64 builds and the native arm64 builds ?
On a Mac mini M1 8/256 I get only a slight speed increase (15% faster) with the
arm version (experimental R-devel build).
Thanks
Jean
> Le 14 janv. 2021 à 08:41,
and parallel computing mode.
Any idea about why I get these results ?
Thanks,
Jean
—-
Jean THIOULOUSE - orcid.org/-0001-7664-0598
http://lbbe.univ-lyon1.fr/-Thioulouse-Jean-.html
https://www.springer.com/fr/book/9781493988488
> Le 11 janv. 2021 à 10:53, Denis-Alexander Engemann
> a
I did not run any of the Catalina betas and have no problem with
Catalina/XQuartz.
Jean
—-
Jean THIOULOUSE - orcid.org/-0001-7664-0598
http://lbbe.univ-lyon1.fr/-Thioulouse-Jean-.html
https://www.springer.com/fr/book/9781493988488
> Le 9 oct. 2019 à 15:20, Kasper Daniel Han