> From: Jack Challen [mailto:jack.chal...@ocsl.co.uk] > Sent: Wednesday, August 14, 2013 10:45 AM > Subject: RE: Memory limit on Linux? > > (I'm replying from a horrific WebMail UI. I've attempted to maintain > what I think is sensible quoting. Hopefully it reads ok). [snip] > If all users are able to allocate that much RAM in a single process > (e.g. "top" shows the process taking 20 GBytes) then it's very unlikely > to be an OS- or user-specific restriction (there are exceptions to that if > e.g. the R job is submitted in a different shell environment [e.g. batch > queuing]). Your ulimits look sensible to me.
That is what I thought as well. I was just looking for maybe some cgroup limitation or something similar that might be stirring problems. However, I don't see anything like that. > > The only differences I have found between the two boxes that really > > stands out is that the system that works runs RHEL proper and has R > > compiled but the one that doesn't allocate all of the memory was installed > > via EPEL RPM on CentOS. Compiling R on the CentOS system is on the > > try-this list, but before I spend that time trying to compile I thought I > > would ask a few questions. > > I would look there first. It seems (from the first quoted bit) that your > problem is specific to that version of R on that machine as Matlab can > gobble up RAM happily (I do have a very simple bit of C kicking about > here which is specifically for testing the memory allocation limit of a > system which you could have if you really wanted). Thanks for the offer. I may take you up on that. I am downloading the latest and greatest version of R right now for compiling purposes. If that doesn't work, then I may try your program just to see what results it has. [snip] > > 2) When I compile from source to test this, is there a specific option I > > should pass to ensure max usage? > > Absolutely no idea, I'm afraid. There is an --enable-memory-profiling > option, but I doubt that''ll solve your problem and it'll probably just > slow R down. I'd simply give compiling it a go. I will report back to the list after I get R compiled. Thanks! ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
