The neXt DIRAC generation
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Updated
Jun 10, 2024 - Python
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.
The neXt DIRAC generation
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.
A SDK/library for decentralized web and distributing computing projects
A cron job that runs every hour to download the list of site BDII URLs that are going to be used by the top level BDII to publish their resources.
Ansible role to deliver UMD configurations
Batsim is a scientific simulator commonly used to evaluate Resource and Job Management System (RJMS) policies. Batsim-py allows using Batsim from Python 3.
The Python client for the Hulse platform
Low latency computing queue monitoring for ATLAS
Scheduling Servers Shutdown in Grid Computing with Deep Reinforcement Learning.
Folding@home COVID-19 efforts
Ansible role to deliver UMD configurations