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Grid computing
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Grid computing is a form of distributed computing that uses a network of computers to perform complex tasks. Grid computing is a form of parallel computing. The term grid computing was first used in 1997 by Carl Kesselman to describe the computing resources that were available at the San Diego Supercomputer Center. The term was popularized by the 2002 book Grid Computing: Making the Global Infrastructure a Reality by Kesselman and Tony Hey.
Open-source software for volunteer computing and grid computing.
A SDK/library for decentralized web and distributing computing projects
TypeScript RPC (Remote Procedure Call) for WebSocket and Worker protocols
The open source grid computing solution
Timeleap is a distributed computing platform that allows you to run your applications on a global network of computers. It is designed to be fast, secure, and scalable.
Global Mesh Computing
A curated list of awesome projects, platforms, and resources related to volunteer computing — the practice of donating idle computing power to help solve real-world scientific and humanitarian problems.
Source codes for the book "Implementing Parallel and Distributed Systems"
The Python client for the Hulse platform
MiGrid workspace where master branch is kept strictly in sync with SF upstream svn repo. Any development or experiments should use a branch. You probably want to fork your own clone or work e.g. on the edge branch if you wish to contribute.
Batsim is a scientific simulator commonly used to evaluate Resource and Job Management System (RJMS) policies. Batsim-py allows using Batsim from Python 3.
Low latency computing queue monitoring for ATLAS
Scheduling Servers Shutdown in Grid Computing with Deep Reinforcement Learning.
VCC Community Grid at Dallas Makerspace
Linux command for monitoring computer cluster