Difference between revisions of "R/Parallel"
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| − | + | You can run parallel jobs in R, by using the '''parallel''', the '''Rmpi''' or other packages for parallel computing. Please find more information on parallel computing with R at http://cran.r-project.org/web/views/HighPerformanceComputing.html or in the R reference manual. If you run parallel R jobs on Euler, please make sure that you do not forget to request enough cores from the batch system. Otherwise, the batch system will only reserve a single core and all threads will be executed on this single core, which is very inefficient and should be avoided. | |
Latest revision as of 08:01, 10 August 2016
You can run parallel jobs in R, by using the parallel, the Rmpi or other packages for parallel computing. Please find more information on parallel computing with R at http://cran.r-project.org/web/views/HighPerformanceComputing.html or in the R reference manual. If you run parallel R jobs on Euler, please make sure that you do not forget to request enough cores from the batch system. Otherwise, the batch system will only reserve a single core and all threads will be executed on this single core, which is very inefficient and should be avoided.
