> From: bogdan romocea > > It appears you wouldn't get much improvement at all even if > the 2nd CPU > were used at 100%. Five R sessions can easily overwhelm one CPU. I > think you need (a lot) more CPUs than 2 to solve your problem. > > Possible solutions: > 1. Install R on each eMac. Since you have 40 of them, you > might want to > put together a script to do this. > 2. Get some boxes that can run Windows. On Windows, you can run R from > a CD/zip drive/USB drive. (So you could burn 40 CDs and have everyone > run their R session on their box.) As far as I know the same is not > true for GNU/Linux and Mac OS.
If one can run Linux off a (live) CD, why wouldn't it be possible to do the same for R? (Burn a Quantian DVD and you can boot a x86 box from it to run R.) If I'm not mistaken, it shouldn't be a problem running R off a USB pen drive or CD under Linux. I can give it a shot tonight (if I can find the time). Andy > HTH, > b. > > > -----Original Message----- > From: Sam Parvaneh > Sent: Monday, January 17, 2005 6:11 AM > To: r-help@stat.math.ethz.ch > Subject: [R] help wanted using R in a classroom > > > Hi everyone! > > I'm using R 2.0.1 for Mac OS X in a classroom with 40 eMacs > running Mac > OS > X version 10.3.6. > These Macs are network based, meaning that the students log in to an > XServe G4 where their user accounts and home directories are stored. > > The problem that I'm having each time a group of students > (usually 7 to > > 10) use R is that the whole system get incredibly slow. > The response time for opening an application while the students are > running R is around 5 minutes. > If a student wants to log into the system while others are running R, > it > can take up to 10 minutes for the student to get logged in. > Everything gets very slow that it's almost impossible to work. > When I look at the server Graphs, the CPU usage of the first CPU is > always > 100% when these students are using R. The second CPU is left at 15%. > > When these students quit R, then everything's is back to normal again. > The > usage of both CPUs go back down to between 5-10%. > Is there anyone out there using R in a university like this? > Does anyone have an idea what this might depend one or maybe a > solution? > I can provide some more information if anyone wants, if you think you > can > help me. > > Thanks in advance > /Sam > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html