Parallel R II: Rmpi and pbdR

Class type: Programming Language
Class date: 2015-10-05

R is a statistical programming language that has become increasingly popular in data analysis and statistical applications. This course, the second in a two-part series, describes how a programmer can speed up an R program by parallelizing it with the Rmpi and pbdR (“Programming with Big Data in R””) packages. 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: Rmpi_pbdR_2015Oct05
Course codes are available on ARC’s R page.