[R] Memory problem ... Again
Liaw, Andy
andy_liaw at merck.com
Mon Jan 3 23:31:09 CET 2005
Have you checked whether there are limits set? What does `ulimit -a' say?
Do you know how much memory the R process is using when the error occurred?
We've had R jobs using upwards of 13GB on a box with 16GB of RAM (SLES8 on
dual Opterons) and never had problems.
Andy
> From: Tae-Hoon Chung
>
> Happy new year to all;
>
> A few days ago, I posted similar problem. At that time, I
> found out that our
> R program had been 32-bit compiled, not 64-bit compiled. So
> the R program
> has been re-installed in 64-bit and run the same job, reading in 150
> Affymetrix U133A v2 CEL files and perform dChip processing.
> However, the
> memory problem happened again. Since the amount of physical
> memory is 64GB,
> I think it should not be a problem. Is there anyway we can
> configure memory
> usage so that all physical memory can be utilized?
>
> Our system is like this:
> System type: IBM AIX Symmetric Multiprocessing (SMP)
> OS version: SuSe 8 SP3a
> CPU: 8
> Memory: 64GB
>
> The codes are as follows:
> > Data <- ReadAffy(filenames = paste(HOME, "CelData/", fname, sep=""))
> > eset <- expresso(Data, normalize.method="invariantset",
> bg.correct=FALSE, pmc\
> orrect.method="pmonly", summary.method="liwong")
> normalization: invariantset
> PM/MM correction : pmonly
> expression values: liwong
> normalizing...Error: cannot allocate vector of size 594075 Kb
> > gc()
> used (Mb) gc trigger (Mb)
> Ncells 797971 21.4 1710298 45.7
> Vcells 76716794 585.4 305954055 2334.3
> ...
> > mem.limits()
> nsize vsize
> NA NA
> > object.size(Data)
> [1] 608355664
> > memory.profile()
> NILSXP SYMSXP LISTSXP CLOSXP ENVSXP
> PROMSXP LANGSXP
> 1 30484 372383 4845 420
> 180 127274
> SPECIALSXP BUILTINSXP CHARSXP LGLSXP
> INTSXP
> 203 1168 111430 5296 0
> 0 44650
> REALSXP CPLXSXP STRSXP DOTSXP ANYSXP
> VECSXP EXPRSXP
> 13382 9 60170 0 0
> 26003 0
> BCODESXP EXTPTRSXP WEAKREFSXP
> 0 106 0
>
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