ray/doc/source/ray-contribute/whitepaper.rst

.. _whitepaper:

Architecture Whitepaper
=======================

For an in-depth overview of Ray internals, check out the `Ray 1.0 Architecture whitepaper <https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview>`__.

For more about the scalability and performance of the Ray dataplane, see the `Exoshuffle paper <https://arxiv.org/abs/2203.05072>`__.
[docs] Core docs refactor (#23216) This PR makes a number of major overhauls to the Ray core docs: Add a key-concepts section for {Tasks, Actors, Objects, Placement Groups, Env Deps}. Re-org the user guide to align with key concepts. Rewrite the walkthrough to link to mini-walkthroughs in the key concept sections. Minor tweaks and additional transition material. 2022-03-17 11:26:17 -07:00			`.. _whitepaper:`

[docs] new structure (#21776) This PR consolidates both #21667 and #21759 (look there for features), but improves on them in the following way: - [x] we reverted renaming of existing projects `tune`, `rllib`, `train`, `cluster`, `serve`, `raysgd` and `data` so that links won't break. I think my consolidation efforts with the `ray-` prefix were a little overeager in that regard. It's better like this. Only the creation of `ray-core` was a necessity, and some files moved into the `rllib` folder, so that should be relatively benign. - [x] Additionally, we added Algolia `docsearch`, screenshot below. This is _much_ better than our current search. Caveat: there's a sphinx dependency that needs to be replaced (`sphinx-tabs`) by another, newer one (`sphinx-panels`), as the former prevents loading of the `algolia.js` library. Will follow-up in the next PR (hoping this one doesn't get re-re-re-re-reverted). 2022-01-22 00:42:05 +01:00			`Architecture Whitepaper`
			`=======================`

			For an in-depth overview of Ray internals, check out the `Ray 1.0 Architecture whitepaper <https://docs.google.com/document/d/1lAy0Owi-vPz2jEqBSaHNQcy2IBSDEHyXNOQZlGuj93c/preview>`__.
Update paper links to include exoshuffle and remove whitepaper (moved to docs) (#23099) 2022-03-15 13:12:01 -07:00
			For more about the scalability and performance of the Ray dataplane, see the `Exoshuffle paper <https://arxiv.org/abs/2203.05072>`__.