On Sun, 14 Jul 2002, Jon McAuliffe wrote:
> the help page for crossprod states that crossprod(A,B) is faster than
> t(A) %*% B; experimentation certainly bears this out. more alarming
> is the evidence that crossprod(t(A), B) is faster than A %*% B:
>
> on a PII laptop, 128MB memory, win98, R-1.5.0.-patched precompiled
> (no ATLAS):
>
> > A <- matrix(rnorm(250000),500,500)
> > B <- matrix(rnorm(250000),500,500)
> > for (i in 1:5) { print(system.time(A %*% B)) }
> [1] NA NA 7.96 NA NA
> [1] NA NA 7.81 NA NA
> [1] NA NA 7.79 NA NA
> [1] NA NA 7.81 NA NA
> [1] NA NA 7.79 NA NA
> > for (i in 1:5) { print(system.time(crossprod(t(A),B))) }
> [1] NA NA 4.48 NA NA
> [1] NA NA 4.51 NA NA
> [1] NA NA 4.48 NA NA
> [1] NA NA 4.69 NA NA
> [1] NA NA 4.49 NA NA
>
> is this expected, or is something strange about my system? would
> ATLAS make this difference negligible? (i'd like to know before i spend
> the time building and installing it.)
If you upgrade to 1.5.1 you don't need to: ATLAS-based Rblas.dll are on
CRAN in the windows/contrib/ATLAS area, including for a PII. However, I
cannot reproduce your results:
without ATLAS:
> for (i in 1:5) { print(system.time(A %*% B)) }
[1] 1.01 0.00 1.01 NA NA
[1] 0.90 0.02 0.92 NA NA
[1] 0.92 0.01 0.93 NA NA
[1] 0.91 0.00 0.92 NA NA
[1] 0.94 0.00 1.00 NA NA> for (i in 1:5) { print(system.time(crossprod(t(A),B))) }
[1] 0.94 0.00 0.94 NA NA
[1] 0.91 0.00 0.91 NA NA
[1] 0.94 0.01 0.97 NA NA
[1] 0.93 0.01 0.94 NA NA
[1] 0.94 0.00 0.93 NA NA
and with ATLAS
> for (i in 1:5) { print(system.time(A %*% B)) }
[1] 0.25 0.01 0.39 NA NA
[1] 0.15 0.00 0.16 NA NA
[1] 0.15 0.01 0.16 NA NA
[1] 0.16 0.00 0.16 NA NA
[1] 0.16 0.00 0.16 NA NA> for (i in 1:5) { print(system.time(crossprod(t(A),B))) }
[1] 0.18 0.00 0.20 NA NA
[1] 0.18 0.00 0.18 NA NA
[1] 0.18 0.00 0.18 NA NA
[1] 0.24 0.01 0.25 NA NA
[1] 0.16 0.01 0.18 NA NA
(1.4GHz P4)
> if it is expected, under what circumstances would one prefer %*%?
For clarity of reading? Almost all uses of any of these are for small
matrices.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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