thanks for answering the program is simulation it runs on data ( wish is taken from file to memory once) but it runs about 10k times and in each mad some calculations ?
hope this clear the problem, Ragia ---------------------------------------- > Date: Tue, 15 Mar 2016 08:45:56 +1100 > Subject: Re: [R] How to speed up R program > From: drjimle...@gmail.com > To: ragi...@hotmail.com > CC: r-help@r-project.org > > Hi Ragia, > Improving the efficiency of a program usually requires detailed > analysis of what it is doing and how those operations can be performed > more rapidly. That is to say, without knowing what the program is > supposed to accomplish and how it is doing it now, very little help > can be provided. One thing you might look for is "disk-thrashing" > where your storage media (e.g. hard disk) is being accessed > continuously. This usually indicates that the program is swapping out > data to the disk, which is typically slow compared to processing it in > memory. > > Jim > > > On Tue, Mar 15, 2016 at 8:32 AM, Ragia . <ragi...@hotmail.com> wrote: >> >> >> >> >> Dear group >> I have two R sessions running on Ubuntu 14.0x server , and I found that my >> program will take too long time to be finished( months...!), I used top >> command and found that cpu usage is 21.3%. >> >> the server is Enterprise SP-64 - 64G E5-1630v3 SoftRaid 2x2 TB Server . 6 >> core >> >> how can I speed the program, kindly I need tutorial or book chapter that >> helps.. >> thanks in advance >> Ragia >> >> >> ______________________________________________ >> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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 -- To UNSUBSCRIBE and more, see 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.
