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a3d58607bf76b7a47e748f9d195f04b533fbd37e
* parallelizing memcopy and object hash construction in numbuf/plasma * clang format * whitespace * refactoring compute object hash: get rid of the prefix chunk * clang format * Document performance optimization. * Remove check for 64-byte alignment, since it may not be guaranteed.
Implement object table notification subscriptions and switch to using Redis modules for object table. (#134)
Ray
===
.. image:: https://travis-ci.org/ray-project/ray.svg?branch=master
:target: https://travis-ci.org/ray-project/ray
.. image:: https://readthedocs.org/projects/ray/badge/?version=latest
:target: http://ray.readthedocs.io/en/latest/?badge=latest
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Ray is a flexible, high-performance distributed execution framework.
View the `documentation`_.
.. _`documentation`: http://ray.readthedocs.io/en/latest/index.html
Description
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
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