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
A curated list of awesome projects, platforms, and resources related to volunteer computing — donating idle computing power to solve real-world scientific and humanitarian problems.
The neXt DIRAC incarnation
Source codes for the book "Implementing Parallel and Distributed Systems"
The Python client for the Hulse platform
Ergatis on Rocks - See: https://github.com/gnomatix/eels
CPU Sharing Network Grid Computing: Traffic Jam Monte Carlo Simulation
Low latency computing queue monitoring for ATLAS
Containerized MiG
Batsim is a scientific simulator commonly used to evaluate Resource and Job Management System (RJMS) policies. Batsim-py allows using Batsim from Python 3.
Scheduling Servers Shutdown in Grid Computing with Deep Reinforcement Learning.
MiGrid workspace now using the 'next' branch as the central repo. Any development or experiments should use a separate branch. You probably want to fork your own clone or work e.g. on a branch of next if you wish to contribute.
Linux command for monitoring computer cluster
VCC Community Grid at Dallas Makerspace