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A Future for R: Parallel and Distributed Processing in R for Everyone

In this video from the European R Users Meeting, Henrik Bengtsson from the University of California San Francisco presents: A Future for R: Parallel and Distributed Processing in R for Everyone.

The future package is a powerful and elegant cross-platform framework for orchestrating asynchronous computations in R. It’s ideal for working with computations that take a long time to complete; that would benefit from using distributed, parallel frameworks to make them complete faster; and that you’d rather not have locking up your interactive R session.

The future package is available on CRAN now, and works consistently on Windows, Mac and Linux systems. You can learn more in the video at the end of this post, or in the recent blog update linked below. Learn more.

Henrik Bengtsson has a background in Computer Science (MSc) and Mathematical Statistics (PhD) and is an Associate Professor at the UCSF Department of Epidemiology and Biostatistics. He has extensive experience in applied statistics, computational genomics, and large-scale processing. He has worked with R since 2000 and since contributed 30+ packages to CRAN and Bioconductor.

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