Parallel computing in R

Parallelize your R computations with ProActive R connector

3 min

Oct 3, 2018 from Activeeon

Parallel computing in R

R language is widely used among statisticians and data miners for developing statistical software and data analysis. R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. It is used in various domains such as Finance, Biology and BioTech and is easily extensible.

Parallel R helps you solve computationally intensive and data-intensive problems

Parallel R is engineering and scientific environment that will let you elaborate your calculations faster, using all your resources. Parallel R will let you fully enjoy all the opportunities that this solution is giving to your business. Use Parallel R to run multiple calculations simultaneously, shorten the time of your operations and save your money.

Parallel R helps you run statistical computing faster

Activeeon is giving at your disposal Parallel R environment with all its functions (statistical and graphical techniques). Learn more about ProActive Distributed R and discover how to refine your IT operations on Parallel R.

ProActive Distributed R integrates with the R Project for Statistical Computing to allow distributed and remote execution of R functions on heterogeneous infrastructures (Linux, Windows, MacOS X) through a powerful and user-friendly API directly from R command line interpreter.

ProActive Distributed R comes as standard R package, which connects to ProActive Workflows & Scheduling.

Parallel computing in R: an innovative approach for big data processing and open source analytics

Flexible and powerful computing infrastructure as well as software are needed to analyze big datasets efficiently (from 40GB to 200TB). The effective use of HPC technologies based on new promising architectures that have emerged recently is the solution to this challenge. Activeeon provides solutions based on jobs submissions with ‘R’ ParConnector package.

PARConnector: ProActive API for R

ProActive R Connector allows you to easily parallelize your R computations, without leaving R Studio environment. Connect R Studio to a ProActive infrastructure through our ProActive R Connector, and start to drastically reduce execution time of your Big Data analysis.

Try solutions for Parallel R environment now and enjoy 10 trial days!

We are offering you a great possibility to try ProActive Distributed R for Parallel R environment for free, during 10 days. All you need to do is to log on to our website. You will get free tutorials to help you understand Parallel R, ProActive Distributed R and all our products. You will get a free support during 10 days to deploy your “virtual environment” on your own. Take part in our personal webinar to get customized support!

Accelerating business applications will help you save time and money.

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