[R-SIG-Mac] Large number calculations causing system crash (Carl Witthoft)
Simon Urbanek
@|mon@urb@nek @end|ng |rom R-project@org
Thu Feb 10 04:20:43 CET 2022
Joe,
are you sure you are using the native arm64 version of R with the Accelerate bindings (formerly vecLib)? The one really cool thing about M1 is that it is very much faster than any Intel Macs (in some examples more than 10x) so what you report doesn't look right. With your script on a first-generation M1 mac mini (so the slower one) I get:
> source("CuriousResult.R")
matrix multiplication 2.084 0.401 2.488
tcrossprod 2.284 0.396 2.68
transposition and reuse 5.771 0.786 6.557
elementwise after reshape 4.974 0.586 5.56
columnwise sapply 5.675 1.451 7.127
for loop over columns 4.565 1.633 6.199
so I would suspect that you may be running Intel R emulated and without vecLib?
Cheers,
Simon
> On Feb 10, 2022, at 12:44 PM, Joseph Kunkel <joe using bio.umass.edu> wrote:
>
> Carl, I would not buy a Mac M1Mag with 64 GB of memory. I just bought one and it is not as good as my 2013 MacBook Pro with 32 GB and 4 cores.
>
> With my 2013 MacBook Pro I could configure R to do is matrix multiplication with the fast vecLib library and it would use core doubling so that I was using up to 800% of my resources to do my big math.
>
> With my 2013 I could run the following benchmark and it would execute in 1/4 the time.
>
>> source("http://www.bio.umass.edu/biology/kunkel/pub/R/CuriousResult.R")
>
> matrix multiplication 21.248 1.608 5.891
> tcrossprod 20.346 1.454 5.39
> transposition and reuse 15.881 2.887 18.657
> elementwise after reshape 9.637 2.144 11.717
> columnwise sapply 13.447 11.982 25.241
> for loop over columns 12.435 10.14 22.44
>
> Now with R on the MacBook Pro with M1Max it takes longer to do the base multiplication and there is no accelerated option although it does the simpler non sectoral approaches faster …
>
>> source("http://www.bio.umass.edu/biology/kunkel/pub/R/CuriousResult.R")
> matrix multiplication 40.476 0.127 40.322
> tcrossprod 40.347 0.056 40.282
> transposition and reuse 6.776 0.005 6.78
> elementwise after reshape 7.849 0.016 7.868
> columnwise sapply 4.481 0.114 4.592
> for loop over columns 4.282 0.271 4.55
>
> I am searching for why.
>
> Joe Kunkel
> -·. .· ·. .><((((º>·. .· ·. .><((((º>·. .· ·. .><((((º> .··.· >=- =º}}}}}><
> Joseph G. Kunkel, Emeritus Professor
> Biology Department
> UMass Amherst
> Amherst MA 01003
> joe using bio.umass.edu
>
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