Installing the openbals library may help. Shige
On Sat, Mar 15, 2014 at 12:00 PM, Jeff Newmiller <jdnew...@dcn.davis.ca.us>wrote: > Comparing with an unspecified benchmark makes answering this too hard. > Following instructions in the Posting Guide will lead to more accurate Q > and A. > > Note that you may not need to compile if you have not as yet followed the > recommendations: http://cran.r-project.org/bin/linux/ubuntu/README. There > are apparently compile-time options that can obtain noticeable improvements > for certain classes of problems, but if you and your friend are both using > standard installs that seems unlikely to explain the difference. I have not > needed a custom compile (yet?). > --------------------------------------------------------------------------- > Jeff Newmiller The ..... ..... Go Live... > DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live > Go... > Live: OO#.. Dead: OO#.. Playing > Research Engineer (Solar/Batteries O.O#. #.O#. with > /Software/Embedded Controllers) .OO#. .OO#. rocks...1k > --------------------------------------------------------------------------- > Sent from my phone. Please excuse my brevity. > > On March 15, 2014 3:46:57 AM PDT, Augusto Cesar <augusto.ce...@gmail.com> > wrote: > >My guess is that maybe the default Ubuntu binaries aren't compiled > >with MKL (Math Kernel Library) support and thus with no > >multithreading. > > > >I would suggest doing a quick research on how to re-compile R with MKL > >support and maybe you'll be good to go. > > > >On Fri, Mar 14, 2014 at 9:45 PM, Russell Bainer <russ.bai...@gmail.com> > >wrote: > >> Hi All, > >> > >> I've run across an odd phenomenon and I am wondering if someone might > >be > >> able to provide insight as to what is going on. I'm running some R > >code > >> that was provided by a collaborator, who is not a very experienced R > >> programmer (e.g., the code is functional but not very efficient). > >When I > >> run it from the terminal or command line everything executes, albeit > >very > >> slowly- the logfile suggests that the program is about 5% done after > >> running over last weekend. Top indicates that it is maxing out one of > >my > >> CPUs and chewing up a lot of memory, which I expect. > >> > >> The strange thing is that my collaborator insists that the code > >executes > >> on the order of minutes on his 2012 macbook pro with 8G of memory. I > >am > >> running it with ubuntu 12.04 on a dual-core i7 with 32G, and it's > >slow as > >> molasses. That suggests a configuration issue of some kind with R > >that I > >> might not be aware of (I am more experienced in R and usually don't > >write > >> code that requires resources like that). I have played with my > >swappiness > >> and the effect seems to be minimal. Can anyone suggest something else > >that > >> could be going on? I have considered trying to run it directly on a > >unix > >> server, but the code has a lot of third-party dependencies that would > >be a > >> bit of work to set up for simple troubleshooting. And naturally I'd > >prefer > >> that R be configured correctly in the event that I need to locally > >run > >> something more intense in the future. > >> > >> Thanks in advance for any advice you can give. This message has been > >> cross-posted omn the ubuntu forums. > >> > >> -R > >> > >> [[alternative HTML version deleted]] > >> > >> ______________________________________________ > >> 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. > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
