I would bet that you are doing something in C++ that shares some resource between the workers and blocks all but one worker at a time. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnew...@dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
sophie_brugie...@mpipsykl.mpg.de wrote: >Dear all, > >I have an R script that uses Rcpp, and I have been trying to >parallelize >it using mclapply (I tried with the multicore and the parallel library) > >Sometimes (not always, interestingly), the CPU use for each core drops, >usually so that the total over all cores reaches 100%, i.e., as fast as >if >using just one single core fully. I tried my code directly from within >emacs, and also using a shell command - it happens either way. > >I suspect there might be some interaction between Rcpp and the >multicore/parallel libraries. Did any R(cpp) user encounter such >symptoms? > >Sophie > >______________________________________________ >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. ______________________________________________ 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.