[R] Configuration of memory usage

[Tae-Hoon Chung]

Hi, all;

I know there has been a lot of discussions on memory usage in R.
However, I have some odd situation here. Basically, I have a rare
opportunity to run R in a system with 64GB memory without any limit on
memory usage for any person or process. However, I encountered the memory
problem error message like this:

Error: cannot allocate vector of size 594075 Kb

I got this error message while I was trying to apply dChip preprocessing
procedures for 150 Affymetrix U133v2 chips that has > 22,000 probe sets on
them. The actual codes I ran was like this:

> Data <- ReadAffy(filenames = paste(HOME, "CelData/", fname, sep=""))
> mem.limits()
nsize vsize
   NA    NA
> gc()
           used  (Mb) gc trigger   (Mb)
Ncells   530216  14.2     899071   24.1
Vcells 76196137 581.4  243983468 1861.5
> 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   797983  21.4    1710298   45.7
Vcells 76716811 585.4  305954068 2334.3
> object.size(Data)
[1] 608355664
> memory.profile()
    NILSXP     SYMSXP    LISTSXP     CLOSXP     ENVSXP    PROMSXP    LANGSXP
         1      30484     372373       4845        420        180     127274
SPECIALSXP BUILTINSXP    CHARSXP     LGLSXP                           INTSXP
       203       1168     111434       5296          0          0      44649
   REALSXP    CPLXSXP     STRSXP     DOTSXP     ANYSXP     VECSXP    EXPRSXP
     13382          9      60173          0          0      26002          0
  BCODESXP  EXTPTRSXP WEAKREFSXP
         0        106          0

Although I have no idea of memory allocation in R, apparently something's
wrong with this. The memory problem must have nothing to do with physical
memory. My question is this. Is this memory problem due to some non-optimal
configuration of memory usage? If so, then what will be the optimal
configuration for this? If not, then there must be problems on actual
implementations of functions I used here, right? The reason I am asking this
is that, according to the reference manual, the error message I got can be
brought up by roughly three reasons. First, when the system is unable to
provide the R requested memory. Second, when the requested memory size
exceeds the address-space limit for a process. Finally, when the length of a
vector is larger than 2^31-1. I wonder the problem has anything to do with
the third case. (If so, then I think I am hopeless unless the internal
implementations change...)