fishnet - Distributed Stockfish analysis for

  •        121

Install the fishnet client. fishnet is using custom Stockfish by @ddugovic.



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Lichess mobile is a cordova application. It is written in TypeScript and JavaScript. The rendering library is mithril.js. It uses babel, browserify and gulp as build tools. It talks to a native Stockfish engine, supporting multiple variants, through a cordova plugin. Multi-variant chess library is brought by a JavaScript version of scalachess. Then copy env.json.example to env.json and modify settings to link your app to a lichess server.

lichess - Online Chess Game Server

  •    Scala

Lila (li[chess in sca]la) is a free online chess game server focused on realtime gameplay and ease of use. It features a search engine, computer analysis distributed with fishnet, tournaments, simuls, forums, teams, tactic trainer, a mobile app, and a shared analysis board. The UI is available in more than 80 languages thanks to the community.

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Stockfish - A powerful, open-source chess engine

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Stockfish plays better and faster than humans. And it's one of the strongest chess engines in the world, appearing near or at the top of most chess engine rating lists.

rain - Framework for large distributed pipelines

  •    Rust

Rain is an open-source distributed computational framework for processing of large-scale task-based pipelines. Rain aims to lower the entry barrier to the world of distributed computing. Our intention is to provide a light yet robust distributed framework that features an intuitive Python API, straightforward installation and deployment with insightful monitoring on top.

Julia - Language for Technical Computing

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Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.

orleans - Orleans - Distributed Virtual Actor Model

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Orleans is a framework that provides a straight-forward approach to building distributed high-scale computing applications, without the need to learn and apply complex concurrency or other scaling patterns.It was created by Microsoft Research implementing the Virtual Actor Model and designed for use in the cloud.


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Source repo for the book that I and my students in my course at Northeastern University, CS7680 Special Topics in Computing Systems: Programming Models for Distributed Computing, are writing on the topic of programming models for distributed systems. This is a book about the programming constructs we use to build distributed systems. These range from the small, RPC, futures, actors, to the large; systems built up of these components like MapReduce and Spark. We explore issues and concerns central to distributed systems like consistency, availability, and fault tolerance, from the lens of the programming models and frameworks that the programmer uses to build these systems.

leela-chess - A chess adaption of GCP's Leela Zero

  •    C++

The goal is to build a strong UCT chess AI following the same type of techniques as AlphaZero, as described in Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. We will need to do this with a distributed project, as it requires a huge amount of computations.

boinc - Open-source software for volunteer computing and grid computing.

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The University of California holds the copyright on all BOINC source code. By submitting contributions to the BOINC code, you irrevocably assign all right, title, and interest, including copyright and all copyright rights, in such contributions to The Regents of the University of California, who may then use the code for any purpose that it desires. BOINC is free software; you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

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distributed-consensus-reading-list - List of academic papers on distributed consensus


This markdown file contains a list of academic papers (and other works) in the field of distributed consensus. Many of the papers listed below fit into more than one section. However, for simplicity, each paper is listed only in the most relevant section. Where possible, open access links for each paper have been provided. Contributions are welcome. This section lists theoretical results relating to distributed consensus.

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OpenLambda is an Apache-licensed serverless computing project, written in Go and based on Linux containers. The primary goal of OpenLambda is to enable exploration of new approaches to serverless computing. Our research agenda is described in more detail in a HotCloud '16 paper. OpenLambda relies heavily on operations that require root privilege. To simplify this, we suggest that you run all commands as the root user (i.e., run sudo -s before building or running OpenLambda). Additionally, OpenLambda is only actively tested on Ubuntu 14.04 & 16.04.

CloudHaskell - A distributed computing framework for Haskell

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A distributed computing framework for Haskell

disco - a Map/Reduce framework for distributed computing

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a Map/Reduce framework for distributed computing