Install the fishnet client. fishnet is using lichess.org custom Stockfish by @ddugovic.
https://lichess.org/get-fishnetTags | lichess chess stockfish distributed-computing |
Implementation | Python |
License | GPL |
Platform | Windows Linux |
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 stockfish android ios cordova typescript mithril scalajs chess android-sdk lichess-mobile xcode application mobile realtimeLila (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.
chess-server chess-game chess-engine chess online-chess-game gamesStockfish for Mac is a powerful chess analysis app. Play two-player games on the beautiful chess board, or get instant accurate analysis of any game. Features Stockfish for Mac does not have are currently open tickets in the issue tracker.
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.
chess chess-engine gamesRain 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.
pipelines distributed-computing python-api workflowsJulia 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.
language programming-language statistical-language statistics technical-computingOrleans 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.
actor-model distributed-actors distributed-systems cloud-computing scalability reactive concurrency orleansSource 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.
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.
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.
boinc distributed-computing volunteer-computing high-performance-computing citizen-science scientific-computing grid-computing science high-throughput-computing c-plus-plusDisco is a distributed map-reduce and big-data framework. Like the original framework, which was publicized by Google, Disco supports parallel computations over large data sets on an unreliable cluster of computers. This makes it a perfect tool for analyzing and processing large datasets without having to bother about difficult technical questions related to distributed computing, such as communication protocols, load balancing, locking, job scheduling or fault tolerance, all of which are taken care by Disco. Note: For installing Disco, you cannot use the zip or tar.gz packages generated by github, instead you should clone this repository.
This book aims to teach the Python programming language using a practical approach. Its method is quite simple: after a short introduction to each topic, the reader is invited to learn more by solving the proposed exercises. These exercises have been used extensively in my web development and distributed computing classes at the Superior School of Technology of Setúbal. With these exercises, most students are up to speed with Python in less than a month. In fact, students of the distributed computing course, taught in the second year of the software engineering degree, become familiar with Python's syntax in two weeks and are able to implement a distributed client-server application with sockets in the third week.
books learning-by-doing learning-pythonThe Minerva Chess Engine is an artificial chess opponent. It learns as it plays and can be distributed across multiple computers for increased power.
Awesome list of distributed systems resources
awesome awesome-list distributed-systems distributed distributed-database distributed-computing distributed-storage computer-science computer-engineeringLizardFS Software Defined Storage is a distributed, parallel, scalable, fault-tolerant, Geo-Redundant and highly available file system. It spreads data over a number of physical servers, making it visible to an end user as a single file system.
distributed-filesystem filesystem nas distributed-systems distributed-computing distributed-storage fault-tolerance snapshot qos erasure-coding replication replicas geo-replication hsm hierarchical-storage hadoopGleam is a high performance and efficient distributed execution system, and also simple, generic, flexible and easy to customize.Gleam is built in Go, and the user defined computation can be written in Go, Unix pipe tools, or any streaming programs.
distributed-computing map-reduce distributed-systems distributed-system distributedThis 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.
distributed-systems networked-systems consensus-algorithm paxos atomic-broadcast-protocol zookeeper fault-tolerance distributed-computingOpenLambda 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.
serverless-architectures serverless serverless-computing distributed-systems golang-application microservicesA distributed computing framework for Haskell
a Map/Reduce framework for distributed computing
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