Distributed Matlab, Scilab, R

Accelerate Scientific, Technical and Statistical Computing.

As modern scientific and engineering problems grow in complexity, the computation time and memory requirement increase and parallel computing becomes a necessity. ProActive integrates with de-facto standards in scientific and engineering environments such as Matlab, Scilab, R. Directly from within these familiar environments, it provides users with the capacity to distribute executions and manage data transfers on other Desktop machines, Clusters, Grids and Clouds
A single tool for accelerating all your scientific languages.

ProActive Distributed Matlab

Run your computations faster. Optimize your licenses costs.

ProActive Distributed Matlab seamlessly distributes your Matlab models and programs from your interactive Matlab environment to various resources such as your colleagues desktop machines, company servers and clusters, Grids including other company sites, and private or Hybrid Clouds. Matlab sources, your current interactive environment, input files, parameters and results are transparently transferred over the network to the target machines.

Compared to Mathworks Parallel Computing Toolbox™ and Distributed Computing Server™, ProActive Distributed Matlab is more flexible, and can deploy on heterogeneous infrastructures (combined Windows, Linux and Mac Desktops, Cloud Virtual Machines) and can even optimize the usage of Matlab Software Licences with the ProActive Licence Saver and its FlexLM integration.

ProActive Distributed Matlab comes as a standard Matlab Toolbox, which connects to ProActive Workflows & Scheduling.

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ProActive Distributed Scilab

Accelerate your computations using all your resources.

ProActive Distributed Scilab allows distributed and remote execution of Scilab computations directly from the Scilab environment. It provides the same functionalities as the Matlab integration described above and furthermore the same API, allowing users to switch very easily from one connector to the other.

Scilab is a free, open source equivalent to Matlab. It offers the same basic functionalities such as easy matrix manipulation, implementation of algorithms, interfacing. It is known as Matlab’s best open source alternative.

ProActive Distributed Scilab comes as a standard ATOMS Scilab Module, which connects to ProActive Workflows & Scheduling.

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ProActive Distributed R

Statistical computing, faster.

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.

The 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.

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

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FlexLM Integration

Accelerate your computations using all your resources and licenses.

ProActive License Saver offers deep integration with FlexLM to monitor token activity and schedule licence-based tasks only when enough tokens are available.

FlexLM is one of the most commonly used License Management System.

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