R Language Parallel processing

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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.

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