Is there an efficient way to parallelize mapply?

Question

I have many rows and on every row I compute the uniroot of a non-linear function. I have a quad-core Ubuntu machine which hasn\'t stopped running my code for two days now. N

Answer 1

it's an old topic but fyi you now have parallel::mcmapply doc is here. don't forget to set mc.cores in the options. I usually use mc.cores=parallel::detectCores()-1 to let one cpu free for OS operations.

x4 <- mcmapply(get_uniroot, df$P, df$B0, df$CF1, df$CF2, df$CF3,mc.cores=parallel::detectCores()-1)