[R-SIG-Mac]Re: [StatCompute] some tests with new Mac

Roger Peng rpeng@stat.ucla.edu
Mon, 4 Feb 2002 15:02:29 -0800 (PST)


For using eigen() and ATLAS, maybe La.eigen() would be faster with ATLAS?
Haven't tried it yet on the Mac....

-roger
_______________________________
UCLA Department of Statistics
rpeng@stat.ucla.edu
http://www.stat.ucla.edu/~rpeng

On Sat, 2 Feb 2002, Jan de Leeuw wrote:

> I was trying out my new 2 x 1Ghz G4, and discovered a  number of
> things. The benchmark was
> 
>  > hilbert<-function(n) 1/(outer(seq(n),seq(n),"+")-1)
>  > system.time(eigen(hilbert(xxx)))
> 
> where xxx is 500 or 1000. I compare 4 implementations of R on
> the same machine (running Mac OS X 10.1.3 and OS 9.2.2).
> 
> In the first place the Carbon version uses about 19 secs for
> 500 and 160 secs for 1000. This is about 10% faster than on
> my previous Mac (Dual 800 MHz). But the Darwin versions
> (both development 1.5.0 and official 1.4.1) use 4.7 seconds
> for 500 and 50 seconds for 1000 - i.e. the Darwin version is
> three times as fast as the Carbon version (with this benchmark
> and with this machine). The 1.5.0 uses ATLAS, the 1.4.1 does
> not, and that does not seem to make a difference.
> 
> But (weirdness) R-1.4.1 patched (compiled in exactly the
> same way as R-devel on the same machine) uses 13.5
> seconds for 500 and 115 seconds for 1000, i.e. only 30%
> faster than Carbon, and more than twice as slow as the
> official 1.4.1 and as R-devel.
> 
> ===
> Jan de Leeuw; Professor and Chair, UCLA Department of Statistics;
> US mail: 9432 Boelter Hall, Box 951554, Los Angeles, CA 90095-1554
> phone (310)-825-9550;  fax (310)-206-5658;  email: deleeuw@stat.ucla.edu
> homepage: http://www.stat.ucla.edu/~deleeuw
> ========================================================
>            No matter where you go, there you are. --- Buckaroo Banzai
>                     http://www.stat.ucla.edu/~deleeuw/sounds/nomatter.au
> ========================================================
> 
> _______________________________________________
> StatCompute mailing list
> StatCompute@lists.stat.ucla.edu
> http://lists.stat.ucla.edu/mailman/listinfo.cgi/statcompute
>