Parallel R I: Snow

Class type: Introduction
Class date: 2015-09-21

R is a statistical programming language that has become increasingly popular in data analysis and statistical applications. This course, the first in a two-part series, describes how an R programmer can use the snow package to run many similar serial jobs at once. We will show how this functionality can be used to leverage the parallel computing capabilities of modern supercomputers to run large numbers of similar operations, such as Monte Carlo simulations, in parallel. The intended audience for this course is experienced R users who want to leverage parallel architectures to speed up existing R code. Interested parties who are new to R are encouraged to attend the introductory R sessions offered by the Virginia Tech Statistics Department’s Laboratory for Interdisciplinary Statistical Analysis (LISA).

Slides: R_Snow_2015Sept22
Codes: R_Snow_2015Sept22_codes