Hi all, I have R installed on a box, which is running on a machine with 16 core and Redhat - Linux. I am handling huge (size of dataset will be 5 GB) dataset. Lets assume that my data is in the form of structured (multiple) logs. I access the data by using all.files(). Since by default basic version of R utilizes single core, the processing of my analysis code is taking too much time. I got to know that mclapply() can be used to use all cores (processors) to make R much faster when we have multicores. Can anyone help me in understanding how to use mclapply() function in the above situation.
Thanks in advance Regards, Madana -- View this message in context: http://r.789695.n4.nabble.com/R-on-Multicore-for-Linux-tp3682318p3682318.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
