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Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++

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Thrill

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Thrill is an EXPERIMENTAL C++ framework for algorithmic distributed Big Data batch computations on a cluster of machines. It is currently being designed and developed as a research project at Karlsruhe Institute of Technology and is in early testing. More information on goals and mission see http://project-thrill.org.

For easy steps on Getting Started refer to the Live Documentation.

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Thrill - An EXPERIMENTAL Algorithmic Distributed Big Data Batch Processing Framework in C++

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  • C++ 95.0%
  • CMake 2.0%
  • Python 1.4%
  • Other 1.6%