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