SCHEDULE: NOV 16-22, 2013
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Introducing R: from Your Laptop to HPC and Big Data
SESSION: Introducing R: from Your Laptop to HPC and Big Data
EVENT TYPE: Tutorials
TIME: 1:30PM - 5:00PM
Presenter(s):Drew Schmidt, George Ostrouchov
ROOM:302
ABSTRACT:
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) 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.
Chair/Presenter Details:
Drew Schmidt - University of Tennessee, Knoxville
George Ostrouchov - Oak Ridge National Laboratory
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