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Microsoft R Open Update Adds Multi-Processor Performance
Microsoft this month updated its R Open programming language with multi-processor performance highlighting new functionality.
Microsoft R Open is the company's enhanced, open source distribution of R, commonly used for statistical analysis and data science.
The company this month updated its offering to version 3.5.1, which is completely compatible with R 3.5.1, which shipped last month.
Highlighting new functionality coming with the update is new support for multi-threaded computations via new math libraries.
"These libraries make it possible for so many common R operations to use all of the processing power available," Microsoft said. "Matrix operations, most notably, can compute in parallel with all available processing power to significantly reduce computation times."
The company said they automatically use all available cores and processors on a machine. "There's nothing special any package needs to do to benefit from these libraries either," Microsoft said. "In fact, any package used for vector/matrix operations will experience enhanced performance automatically when these libraries are installed."
Another key enhancement highlighted by the R Open team is a high-performance default, fixed CRAN (Comprehensive R Archive Network) repository. This post explains how it provides a consistent and static set of packages to R Open developers and users. It's based on a fixed CRAN repository snapshot dated Aug. 1, 2018, and won't change until the next release.
Also new is a checkpoint package. "The checkpoint package is also installed from CRAN during the installation of Microsoft R Open," the company said. This package, available on CRAN, is designed to make it easy to write reproducible R code by allowing you to go backward (or forward) in time to retrieve the exact versions of the packages you need. All you need are two lines of code to access package versions from a different date." More information on that feature can be found here.
Many new R packages are also available in that Aug. 1 snapshot, contributed by the community surrounding the open source offering. There are dozens of packages available for applications, data munging, data sources, graphics, image and natural language analysis, interfaces, machine learning, programming tools and more.
About the Author
David Ramel is an editor and writer at Converge 360.