[R] maximizing available memory under windows XP
Prof Brian Ripley
ripley at stats.ox.ac.uk
Thu Jan 26 16:41:12 CET 2006
The problem is your test. You are trying to re-allocate large objects,
and memory fragmentation will take its toll, and be almost random in its
effects.
Using the CRAN binary of 2.2.1 and
> for(i in 1:1000) assign(paste("r", i, sep="."), rnorm(1e6))
> gc()
used (Mb) gc trigger (Mb) max used (Mb)
Ncells 170480 4.6 350000 9.4 350000 9.4
Vcells 253062963 1930.8 253513169 1934.2 253063937 1930.8
> memory.size(max=T)
[1] 2037137408
I was able to get close to address space limit on my laptop (which does
not have the /3GB switch set (*in boot.ini*, not in the binary)).
And that binary is marked:
[d:/R/R-2.2.1/bin]% dumpbin /HEADERS Rterm.exe
Microsoft (R) COFF Binary File Dumper Version 6.00.8447
Copyright (C) Microsoft Corp 1992-1998. All rights reserved.
Dump of file Rterm.exe
PE signature found
File Type: EXECUTABLE IMAGE
FILE HEADER VALUES
14C machine (i386)
6 number of sections
43A80482 time date stamp Tue Dec 20 13:17:54 2005
0 file pointer to symbol table
0 number of symbols
E0 size of optional header
32F characteristics
Relocations stripped
Executable
Line numbers stripped
Symbols stripped
Application can handle large (>2GB) addresses
32 bit word machine
Debug information stripped
On Thu, 26 Jan 2006, roger bos wrote:
> I have always been using ebitbin to set the 3GB switch in the windows
> binary, but version 2.2.1 has this set as default (which I verified using
> dumpbin). However, when I generate junk data to fill up my memory and read
> the memory usage using gc(), it seems that I am not getting as good results
> with 2.2.1 patched as I was with 2.2.0 after I edited the header. Under R
> 2.2.0 I was able to use over 2GB and with R 2.2.1 patched I can access only
> 1GB. Anyone have any suggestions that I can try. My machine has 4GB and I
> have modified the Boot.ini file.
>
> Thanks,
>
> Roger
>
> Here is the gc() on 2.2.1 patched:
>> gc()
> used (Mb) gc trigger (Mb) max used (Mb)
> Ncells 252021 6.8 467875 12.5 379294 10.2
> Vcells 71097226 542.5 140857919 1074.7 140597245 1072.7
>>
>
> Here is the gc() output on 2.2.0 after I edited the header:
>> gc()
> used (Mb) gc trigger (Mb) max used (Mb)
> Ncells 174118 4.7 350000 9.4 350000 9.4
> Vcells 130065529 992.4 257820332 1967.1 257565551 1965.1
>>
>
> Here is the code that I used to fill my memory (nothing fancy):
> a <- diag(1000)
> b <-a
> for (i in 1:1000000) {
> a<- diag(1000)
> b <- rbind(b,a)
> }
> gc()
>
> [[alternative HTML version deleted]]
>
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--
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 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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