Proactive Parallel Scientific Toolbox
ProActive Parallel Scientific Toolbox

Parallel Scientific Toolbox

Big Data Analytics with R, Spark, Hadoop, Matlab and Scilab.

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 R Language, Spark, Hadoop, Matlab and Scilab. 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.

Main FeaturesTry It!

Scientific Workflows

We know that a single language cannot fit for every use case, calling for interoperability between multiple languages and services. Create a workflow of multidisciplinary tasks.

Simple and Flexible

Seamlessly parallelize your scientific models and programs from your favorite interactive environment (R Language, Matlab, Scilab). Use Spark and Hadoop platforms from ProActive.

Resources Federation

Federate your existing resources (clusters, virtualized infrastructures, desktop machines), add extra resources from clouds. Reduce costs with energy saving strategies and elasticity.

Languages, Connectors and Integrations

ProActive Parallel Scientific Toolbox comes with a large variety of Connectors, Language Support, and specific Integration, for instance:

Matlab, Scilab, Language R, Hadoop, HDFS, Spark, Flink, Storm, Java, Python, Javascript, Groovy, Powershell, Perl, Control-M, Dollar Universe, SLURM, PBS, LSF, SGE/OGE, Azure, Amazon Web Services (AWS), OpenStack, VMware, Docker, Talend, SAS, Hibernate, MySQL, Postgres, Oracle, MariaDB.

Technical information

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