A Slurm cluster using docker-compose
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Updated
Apr 15, 2024 - Dockerfile
A Slurm cluster using docker-compose
Deploy Dask on job schedulers like PBS, SLURM, and SGE
An open-source toolkit for deploying and managing high performance clusters for HPC, AI, and data analytics workloads.
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:
How to Configure a GPU Cluster Running Ubuntu Linux
UAB Research Computing Documentation
A Slurm dashboard for the terminal.
Submit functions and shell scripts to torque and slurm clusters or local machines using python.
This project provides provisioned HPC cluster models using underlying virtualization mechanisms.
Submit slurm cluster job(Sbatch) inside python and avoid shell script. Submission cmd can be customized to add more options.
spart: a user-oriented partition info command for slurm
Container-based Slurm cluster with support for running on multiple ssh-accessible computers. Currently it is based on podman, systemd, norouter and sshocker (sshfs).
Deploy SLURM Workload Manager on Ubuntu to Microsoft Azure
Efficient Datamodules Customized for the Mila / CC clusters
asyncmd is a library to write concurrent code for setup, run and analysis of molecular dynamics simulations using pythons async/await synthax.
Ansible playbooks to boot resources in the cloud for the sciCORE courses
⭐ 🐧 🆕 GPU Sku usage for Ubuntu 16.04-LTS and CentOS 7.4 , Standard Open Source Scheduler Deployments Torque, SLURM, PBSPro for HPC Skus for CentOS 7.4-HPC with OMS. This is presently on the GAed CentOS-HPC A9/H16R/H16MR and GPU NC6/NC12/NC24 . Latest Docker CE and nvidia-docker present in all. Updating for DIGITS for 2.0 on nvidia-runtime
Minimum working example of a slurm cluster, using LDAP and Docker
This workflow performs a metatranscriptomics and bulk RNAseq analysis from the sequencing output data to the differential expression analyses.
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