Parallelism In R

Kevin Feasel

2017-09-06

R

Florian Prive shows off a few methods for parallelizing code in R:

Parallelize with foreach

You need to do at least two things:

  • replace %do% by %dopar%. Basically, always use %dopar% because you can use registerDoSEQ() is you really want to run the foreach sequentially.

  • register a parallel backend using one of the packages that begin with do (such as doParalleldoMCdoMPI and more). I will list only the two main parallel backends because there are too many of them.

Check it out.  Florian spends a lot of time with foreach and doParallel, a little bit of time with flock, and mentions Microsoft R Open.  H/T R-Bloggers

Related Posts

R 3.5.0 Released

Tal Galili announces that R 3.5.0 is now available: By default the (arbitrary) signs of the loadings from princomp() are chosen so the first element is non-negative. If –default-packages is not used, then Rscript now checks the environment variable R_SCRIPT_DEFAULT_PACKAGES. If this is set, then it takes precedence over R_DEFAULT_PACKAGES. If default packages are not specified on the command line or by one […]

Read More

Issues Starting ML Services

Jen Stirrup has a quick rundown of some reasons why Machine Learning Services might give you an error when you try to start it up: Msg 39023, Level 16, State 1, Procedure sp_execute_external_script, Line 1 [Batch Start Line 3] ‘sp_execute_external_script’ is disabled on this instance of SQL Server. Use sp_configure ‘external scripts enabled’ to enable […]

Read More

Categories

September 2017
MTWTFSS
« Aug Oct »
 123
45678910
11121314151617
18192021222324
252627282930