Parallel Computing with R

Topics - Parallel Computing in R

### SparkR -

Jeremy Jackson, a Senior Developer at The Cadmus Group, Inc., will talk about using Vagrant to provision a Spark + R + RStudio development cluster on a personal computer, some of the more useful analysis features of SparkR for parallel computing, and different options for scaling your development cluster to the cloud.

### GPU Computing in R - A Focus on the gpuR Package
Matt Hergott

### foreach and rxExec - Michael Helbraun - Revolutions Analytic

Generally, R is in memory and single threaded. To scale to larger data and/or more computationally intensive problems parallelization becomes important; this talk will mostly cover options for explicit (foreach, rxExec) parallelization, but we'll also touch upon some options for implicit parallelization as well.