Parallel R for Data Science
Description: This half-day session will cover parallel programming R, with a focus on parallel data analysis. Topics covered include snow, parallel, and foreach/doparallel.
Prerequisites: Experience with programming in R and a rudimentary understanding of parallel computing.
Date/Time: Tuesday July 12, 2016, 13:30-16:30
Instructor: Erik Spence, SciNet, University of Toronto.
Location: WB 119
Course code: HPC171