Katja,
since the information given in this message is not sufficient to be able
to help (question whether you are forking or parallelization happens
through, e.g., MPI or sockets) and no reproducible code is given yet (as
the posting guide ask you to provide), let us discuss this off-list and
get back to the list with an appropriate question and answer later.
Best,
Uwe
On 12.01.2012 18:14, Katja Hebestreit wrote:
Dear R users,
I have some problems with the parLapply function from the "parallel"
package:
I use parLapply on a pretty big R object without changing the object
within the called function. If I execute parLapply alone, everything
works fine. It seems that the object resides only once in the memory.
But if I use the same call within another function, the object seems to
be multiplied to the nodes. We conclude this from the longer run time
and a significant higher memory usage.
Any help is appreciated! :-)
Cheers,
Katja Hebestreit
Some version information:
sessionInfo()
R version 2.14.1 (2011-12-22)
Platform: x86_64-pc-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=C LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] parallel stats graphics grDevices utils datasets
methods
[8] base
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and provide commented, minimal, self-contained, reproducible code.
