Name: Parallel Computing with R
Start: 2016-08-31T19:00:00-06:00
End: 2016-08-31T22:00:00-06:00
Location: Galvanize

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.

Matt Pocernich

Denver R User Group

Technology

R Project for Statistical Computing

Applied Statistics

Data Analytics

Data Mining

Statistical Science

Data Visualization

Statistical Consulting

Web Analytics

Statistical Education

Open Source

Parallel Computing with R

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Parallel Computing with R

Denver R User Group

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