Please join us for two R events at SC13 
<http://sc13.supercomputing.org/> in Denver, this November 17-22: A 
tutorial on pbdR and a BoF 
<http://sc13.supercomputing.org/content/birds-feather-sessions-bofs> 
discussion session to help build a community of users and experts 
interested in using R on supercomputers.

(1) Tutorial:
Introducing R: from Your Laptop to HPC and Big Data 
<http://sc13.supercomputing.org/schedule/event_detail.php?evid=tut165>
<http://sc13.supercomputing.org/schedule/event_detail.php?evid=tut165>Monday, 
November 18, 2013, 1:30 - 5:00 PM

The R language has been called the lingua franca of data analysis and 
statistical computing, and is quickly becoming the de facto standard for 
analytics. As such, R is the tool of choice for many working in the 
fields of machine learning, statistics, and data mining. This tutorial 
will introduce attendees to the basics of the R language with a focus on 
its recent high performance extensions enabled by the ``Programming with 
Big Data in R'' (pbdR <http://r-pbd.org/>) project. Although R has a 
reputation for lacking scalability, our initial experiments with pbdR 
have easily scaled to 12 thousand cores. No background in R is assumed 
but even R veterans will benefit greatly from the session. We will cover 
only those basics of R that are needed for the HPC portion of the 
tutorial. The tutorial is very much example-oriented, with many 
opportunities for the engaged attendee to follow along. Examples will 
utilize common data analytics techniques, such as principal components 
analysis and cluster analysis.


(2) Birds-of-a-Feather Session:

Super-R: Supercomputing and R for Data-Intensive Analysis 
<http://sc13.supercomputing.org/schedule/event_detail.php?evid=bof162>
Wednesday, November 20, 2013, 5:30 - 7:00 PM

R has become popular for data analysis in many fields, drawing power 
from its high-level expressiveness and numerous domain-specific 
packages. While R is clearly a "high productivity" language, it is not 
known as a "high performance" language. However, recent efforts have 
resulted in methods for effectively scaling R to the power of 
supercomputers. This BOF will consist of presentations at the 
intersection of supercomputing and R, followed by audience discussion to 
share experiences, needs, and questions. The ultimate goal is to help 
build a community of users and experts interested in applying R to solve 
data intensive problems on supercomputers.


-- 
George Ostrouchov, Ph.D.
Scientific Data Group
Computer Science and Mathematics Division
Oak Ridge National Laboratory
(865) 574-3137http://www.csm.ornl.gov/~ost



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