This gives timer.R, as well as results for -- a quad G5 with 4GB RAM and R-devel compiled with vecLib and gcc-3.x-- a quad MacPro with 5GB RAM and R-devel compiled with vecLib and gcc-4.2.0
You'll see the MacPro/G5 time ratio is about 0.60, almost twiceas fast, for the hilbert and sort tasks. For loess the MacPro is slower (!!),
but that probably is a function of the two different versions of vecLib. I'll try the Intel compilers and the appropriate ATLAS (or Intel MKL/IPP frameworks) later.
timings_MP.R
Description: Binary data
timings_G5.R
Description: Binary data
timer.R
Description: Binary data
===Jan de Leeuw; Distinguished Professor and Chair, UCLA Department of Statistics; Editor: Journal of Multivariate Analysis, Journal of Statistical Software
US mail: 8125 Math Sciences Bldg, Box 951554, Los Angeles, CA 90095-1554 phone (310)-825-9550; fax (310)-206-5658; email: [EMAIL PROTECTED] .mac: jdeleeuw ++++++ aim: deleeuwjan ++++++ skype: j_deleeuw homepages: http://gifi.stat.ucla.edu ++++++ http://www.cuddyvalley.org------------------------------------------------------------------------ -------------------------
No matter where you go, there you are. --- Buckaroo Banzai
http://gifi.stat.ucla.edu/sounds/nomatter.au
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