Slurm: A Highly Scalable Workload Manager
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Updated
Dec 17, 2024 - C
Slurm: A Highly Scalable Workload Manager
SEML: Slurm Experiment Management Library
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:
AWS Slurm Cluster for EDA Workloads
slurm-docker-integration provides HPC-Kubernetes integration artifacts
spart: a user-oriented partition info command for slurm
🦁 An open-source NLP framework that offers high-level wrappers designed for effortless launch, enhanced reproducibility, superior control, and unmatched flexibility for your experiments.
Slurm utility for checking account balance in ThaiSC's Tara System
Snap package for Slurm. Slurm is a highly scalable cluster management and job scheduling system for large and small Linux clusters ⚖️🐧
Minimum working example of a slurm cluster, using LDAP and Docker
Deploy SLURM Workload Manager on Ubuntu to Microsoft Azure
A SLURM-like cluster workload manager simulator
Easily manage and submit robust jobs to Slurm using Python and Bash.
POV-Ray on Slurm Workload Manager demo scripts.
Package to provide Slurm/PBS experience on Azure Machine Learning
Slurm job scripts to run and analyze molecular dynamics simulations on high performance computers
A simple tool to perform parameter sweeps on SLURM clusters.
Slurm is an open-source, highly configurable job scheduler for managing and optimizing the workload on HPC clusters. It provides a framework for job submission, resource allocation, and job tracking, enabling efficient utilization of computing resources.
Command line monitoring tools for HPC systems with Slurm workload manager
[moved]: Juju charm for slurmd, the compute node daemon for Slurm
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