http://www.cybaea.net/Blogs/Faster-R-through-better-BLAS.html any help?
On Mar 16, 2014 9:38 PM, "Russell Bainer" <russ.bai...@gmail.com> wrote:

> Thanks guys. I'll look into this and tell you if I come up with anything.
>
> -R
>
>
> On Saturday, March 15, 2014, 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 <javascript:;>>        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
> <javascript:;>>
> > 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
> <javascript:;>
> > >
> > >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 <javascript:;> 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.
>

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