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

[ivo welch]

Thanks, and all well taken.  But are my beautiful GPUs (with integrated
memory architecture) really nothing more than a cooling area for the chip?

On Fri, Nov 15, 2024 at 6:06 AM Martin Maechler <maechler using stat.math.ethz.ch>
wrote:

> >>>>> Andrew Robinson via R-help
> >>>>>     on Thu, 14 Nov 2024 12:45:44 +0000 writes:
>
>     > Not a direct answer but you may find lm.fit worth
>     > experimenting with.
>
> Yes, lm.fit() is already faster, and
>     .lm.fit() {added to base R by me, when a similar question
>     was asked years ago ...}
>     is even an order of magnitude faster  in some cases.
>
> See ?lm.fit
> and notably
>
> example(lm.fit)
>
> which uses pkg microbenchmark for timing and  after which
>
>    png("lmfit-ex.png")
>    boxplot(mb, notch=TRUE)
>    dev.off()
>
> produces the attached nice image.
>
>     > 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?
>
>
>

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