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ORNL data scientists issue 1.0 software release, continue drawing new statistical data users to HPC with pbdR

ORNL data scientists (from left) Drew Schmidt and George Ostrouchov have released a 1.0 version of pbdR, the collection of software packages they developed in 2012 to make high-performance computing easier for academic researchers who use R for their data analyses.
ORNL data scientists (from left) Drew Schmidt and George Ostrouchov have released a 1.0 version of pbdR, the collection of software packages they developed in 2012 to make high-performance computing easier for academic researchers who use R for their data analyses.

Scientists at the Department of Energy’s Oak Ridge National Laboratory have released pbdR 1.0, a full suite of software packages they developed to make the R programming language easy to use for high-performance computing. R is the most commonly used statistical data analysis software among academic researchers.

Intended to enable big data analysis — analyzing large groups of data on leadership-class supercomputers such as ORNL’s Titan and Summit — among research disciplines that typically work with small datasets, pbdR offers ease of installation and use, computational speed and capability across multiple operating systems.

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