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ad480f8165d5e0ed4c4188acedee66ebdd693cf0
* Don't reconstruct all objects in every fetch request in local scheduler. * Separate out fetch timer and reconstruction timer. * Fix bug. * Bug fix. * Fix naming convention for global variables. * Address comments. * Make reconstruct_counter a static variable. * Fix linting. * Redo reconstruct handler using a set of objects to fetch. * Fix linting. * Replace set with vector.
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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