An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.

Deploy Dask on job schedulers like PBS, SLURM, and SGE

A Slurm dashboard for the terminal.

Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image analysis. Includes tools for: annotation, AI, HPC, porous media flow simulation, porosity analysis, permeability analysis and much more.

qtop (pronounced queue-top) is a tool written in order to monitor the state of Queueing Systems, along with related information relevant on HPC & grid clusters. At present it supports **PBS, SGE & OAR** families. There is a historic reference for the prior shell version of the tool, at former CERN source:

A Python package to manage protein design workflows on computing clusters and local machines. Documentation can be found here: https://protflow.readthedocs.io/en/latest/

UAB Research Computing Documentation

Clusterscope is a CLI and python library to extract information from HPC Clusters and Jobs.

Submit functions and shell scripts to torque and slurm clusters or local machines using python.

asyncmd is a library to write concurrent code to run and analyze molecular dynamics simulations using pythons async/await syntax. Computationally costly operations can be performed locally or submitted to a queuing system.

Basically all ingredients for building HPC style clusters are here.

Submit slurm cluster job(Sbatch) inside python and avoid shell script. Submission cmd can be customized to add more options.

LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.

Slack bot to interface with Slurm and other utlilities

A super simplistic way to perform hyperparameter tuning (and other things!) on SLURM. Made to be quick and easy to use and build on! and to get your jobs done faster.

Easily manage and submit robust jobs to Slurm using Python and Bash.

Ansible playbook for installing SLURM based cluster on CLIMB (Cloud Infrastructure for Microbial Bioinformatics)

ML model to predict SPARQL query execution times from time series data

Efficient Datamodules Customized for the Mila / CC clusters

Slurm job submission in Python