Hands-on tutorial for parallel computing with R
Abstract
Due to the increasing availability of powerful hardware resources, parallel computing is becoming an important issue, as a noticeable speedup may be achieved. The statistical programming language R allows for parallel computing on computer clusters as well as multicore systems through several packages. This tutorial gives a short, practical overview of four, in view of the authors, important packages for parallel computing in R, namely...
Paper Details
Title
Hands-on tutorial for parallel computing with R
Published Date
Jul 17, 2010
Journal
Volume
26
Issue
2
Pages
219 - 239
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