entangle
hpc-container-maker
entangle | hpc-container-maker | |
---|---|---|
8 | 1 | |
105 | 436 | |
- | 1.1% | |
0.0 | 7.0 | |
over 1 year ago | 5 months ago | |
Python | Python | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
entangle
- New Parallel Compute Framework with AI Examples
- New Parallel Compute Framework
- [P] New Parallel Computing Framework
- A Powerful Python Parallel Programming Framework
- New Python Parallel Compute Framework
-
Parallel Programming Framework for HPC/DevOps/DataScience
Gotcha. I got confused by this picture: https://github.com/radiantone/entangle/blob/main/images/execution.png
hpc-container-maker
-
Setup CUDA development inside remote container
Any discussion of CUDA in containers is incomplete without the awesome hpc-container-maker
What are some alternatives?
ufw-stats - ufw-stats: Show ufw actions since boot, with ip address information from RIPE database.
udocker - A basic user tool to execute simple docker containers in batch or interactive systems without root privileges.
ouroboros - Automatically update running docker containers with newest available image
PyCUDA - CUDA integration for Python, plus shiny features
quay - Build, Store, and Distribute your Applications and Containers
Deep-learning-in-cloud - List of Deep Learning Cloud Providers
anchore-engine - A service that analyzes docker images and scans for vulnerabilities
ImageAI - A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
singularity-hpc - Local filesystem registry for containers (intended for HPC) using Lmod or Environment Modules. Works for users and admins.
RapidStream - This is a personal archive. Please refer to github.com/UCLA-VAST/RapidStream