Marek Wielgosz wrote:
Dear R users/developers,
simple comparison of code execution time of R 2.7.1 and R 2.7.2 shows
a dramatic slowdown of the newer version. Rprof() identifies .Call
function as a main cause (see the code below). What happened with R
2.7.2?
I don't see much of a difference, running on Linux or under Wine on
Linux though, and scaled down to 3*10^2. With a large matrix inversion
as the workhorse, it is hardly surprising that .Call eats most of the
time, but one could easily get the idea that you aren't picking up the
same BLAS in both cases(?)
Kind regards
Marek Wielgosz
Bayes Consulting
######### Probably useful info ###############
### CPU: Core2Duo T 7300, 2 GB RAM
### WIN XP
### both standard Rblass.dll files
### both pre-compiled binary versions of R
######### R 2.7.1 ############################
#R version 2.7.1 (2008-06-23)
#i386-pc-mingw32
#
#locale:
#LC_COLLATE=Polish_Poland.1250;LC_CTYPE=Polish_Poland.1250;LC_MONETARY=Polish_Poland.1250;LC_NUMERIC=C;LC_TIME=Polish_Poland.1250
#
#attached base packages:
#[1] stats graphics grDevices utils datasets methods base
######### R 2.7.2 ############################
#R version 2.7.2 (2008-08-25)
#i386-pc-mingw32
#
#locale:
#LC_COLLATE=Polish_Poland.1250;LC_CTYPE=Polish_Poland.1250;LC_MONETARY=Polish_Poland.1250;LC_NUMERIC=C;LC_TIME=Polish_Poland.1250
#
#attached base packages:
#[1] stats graphics grDevices utils datasets methods base
################################################
The following code has been executed (with both R 2.7.1 and R 2.7.2):
Rprof(tmp <- tempfile())
sample_size=10
f1=function(k) {solve(matrix(rnorm(4*k^2),2*k,2*k))}
out=vector(,sample_size)
for (i in 1:sample_size) {out[i]=system.time(f1(10^3))[[3]]}
summaryRprof(tmp)
out_summary=matrix(,1,6,dimnames=list("value",c("dim","min","mean","med","sd","max")))
out_summary[1,1]=sample_size
out_summary[1,2]=min(out)
out_summary[1,3]=mean(out)
out_summary[1,4]=median(out)
out_summary[1,5]=sd(out)
out_summary[1,6]=max(out)
out_summary
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--
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c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
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and provide commented, minimal, self-contained, reproducible code.
