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2019-08-27_high_performance_computing/Links.txt

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+A Brief Introduction to Using R for High-Performance Computing
+
+https://gvegayon.github.io/ocrug-hpc-august2019
+
+https://github.com/gvegayon/ocrug-hpc-august2019

2019-08-27_high_performance_computing/README.md

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+# A Brief Introduction to Using R for High-Performance Computing
+
+* 2019-07-30
+* Speaker: George G. Vega Yon
+
+## Abstract
+
+While the R programming language was not developed for High-Performance Computing (think about the ‘for’ loops!), thanks to its always thriving community of users, there are several ways in which R can be used to perform HPC. In this presentation, I will give you a general overview of HPC in R with a particular focus on multi-core processing (i.e. no big data for now), and introduce some of the available tools for enhancing your R code. The presentation will include some examples using the 'parallel' package, Rcpp, and Rcpp(Armadillo) + OpenMP.
+

2019-08-27_regression_models_for_count_data/README.md

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+# Regression Models for Count Data
+
+* 2019-08-27
+* Speaker: Olga Korosteleva
+
+## Abstract
+
+In my presentation, I plan to give a brief overview of various regression models: their settings, mathematical expressions, and implementation to datasets with complete R codes. The following models will be considered: linear (normal response), gamma (right-skewed response), logistic (binary response), Poisson, zero-truncated Poisson, zero-inflated Poisson, longitudinal model, and hierarchical model.

README.md

@@ -6,7 +6,7 @@ Presentation materials from our monthly meetings
 
 ## 2019 ##
 
-* 08/27/2019: *Olga Korosteleva*, [Regression Models for Count Data](https://github.com/ocrug/presentations/tree/master/2019-08-27_a_brief_intro_to_using_r_for_hpc/))
+* 08/27/2019: *George G. Vega Yon*, [A Brief Introduction to Using R for High-Performance Computing](https://github.com/ocrug/presentations/tree/master/2019-08-27_high_performance_computing)
 
 * 08/27/2019: *Olga Korosteleva*, [Regression Models for Count Data](https://github.com/ocrug/presentations/tree/master/2019-08-27_regression_models_for_count_data/)