[R] [EXT] Mac ARM for lm() ?

[Andrew Robinson]

Not a direct answer but you may find lm.fit worth experimenting with.

Also try the high-performance computing task view on CRAN

Cheers,

Andrew

--
Andrew Robinson
Chief Executive Officer, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel: (+61) 0403 138 955
Email: apro using unimelb.edu.au
Website: https://researchers.ms.unimelb.edu.au/~apro@unimelb/

I acknowledge the Traditional Owners of the land I inhabit, and pay my respects to their Elders.
On 14 Nov 2024 at 1:13 PM +0100, Ivo Welch <ivo.welch using gmail.com>, wrote:
External email: Please exercise caution

I have found more general questions, but I have a specific one. I
have a few million (independent) short regressions that I would like
to run (each reg has about 60 observations, though they can have
missing observations [yikes]). So, I would like to be running as many
`lm` and `coef(lm)` in parallel as possible. my hardware is Mac, with
nice GPUs and integrated memory --- and so far completely useless to
me. `mclapply` is obviously very useful, but I want more, more, more
cores.

is there a recommended plug-in library to speed up just `lm` by also
using the GPU cores?

______________________________________________
R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.


	[[alternative HTML version deleted]]