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 <maech...@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:
> > a...@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.we...@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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