R Language Parallel processing

30% OFF - 9th Anniversary discount on Entity Framework Extensions until December 15 with code: ZZZANNIVERSARY9

Remarks

Parallelization on remote machines require libraries to be downloaded on each machine. Prefer package::function() calls. Several packages have parallelization natively built-in, including caret, pls and plyr.

Microsoft R Open (Revolution R) also uses multi-threaded BLAS/LAPACK libraries which intrinsically parallelizes many common functions.



Got any R Language Question?