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The distributed computing library on top of PyCOMPSs

Project description

The Distributed 
    Computing Library

Distributed computing library implemented over PyCOMPSs programming model for HPC.

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The Distributed Computing Library (dislib) provides distributed algorithms ready to use as a library. So far, dislib is highly focused on machine learning algorithms, and it is greatly inspired by scikit-learn. However, other types of numerical algorithms might be added in the future. The library has been implemented on top of PyCOMPSs programming model, and it is being developed by the Workflows and Distributed Computing group of the Barcelona Supercomputing Center. dislib allows easy local development through docker. Once the code is finished, it can be run directly on any distributed platform without any further changes. This includes clusters, supercomputers, clouds, and containerized platforms.

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Files for dislib, version 0.6.4
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