Put some numbers on your request. How much slower was it? Did you measure the user and system CPU? Was there a difference? Was there a large amount of I/O or other system calls being done?
On Mon, May 24, 2010 at 2:01 PM, Peter Holt <source.code.de...@gmail.com> wrote: > Hi Folks, > > I created a .R file with source code that accesses functions from a R > package (example, fTrading). > > I then run the created application in two different configurations: > > 1. I started a R session, and then ran the application using the source > ("my_application.R") command, and I measured the time the application ran. > > 2. I started 2 R sessions in the same processor, and executed the same > source ("my_application.R") command, and measured the times the application > ran. > > The times I measured for each applications in #2 was slower than the times I > measured for the application in #1. > > The application was run in a 4-core machine running Linux. > > When the application ran, i used "mpstat" to look at the CPU usage. For #1, > the CPU usage was 25%, and for #2, the CPU usage was 50%. > > No other process was running in the machine. > > My question is, why would #2 be slower than #1? > > Thanks, > Peter > > [[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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.