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#

hpc-clusters

Here are 141 public repositories matching this topic...

future

🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone

  • UpdatedDec 15, 2025
  • R
omnia

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

  • UpdatedDec 17, 2025
  • YAML

🚀 R package: future.apply - Apply Function to Elements in Parallel using Futures

  • UpdatedDec 11, 2025
  • R

🚀 R package: doFuture - Use Foreach to Parallelize via Future Framework

  • UpdatedDec 9, 2025
  • R

Prometheus exporter for a Infiniband Fabric

  • UpdatedDec 12, 2023
  • Python

A Slurm-based HPC workload management environment, driven by Ansible.

  • UpdatedDec 17, 2025
  • HCL

Slurm HPC node status page

  • UpdatedDec 16, 2025
  • TypeScript

Dasandata's Open HPC Cluster Recipes & Document.

  • UpdatedDec 10, 2025
  • Shell

PMIx Reference RunTime Environment (PRRTE)

  • UpdatedDec 17, 2025
  • C
pavilion2

Pavilion is a Python 3 (3.5+) based framework for running and analyzing tests targeting HPC systems.

  • UpdatedDec 16, 2025
  • Python

Filesystem overlay for transparent, distributed migration of active data across separate storage systems.

  • UpdatedDec 19, 2019
  • C

Prometheus exporter for the stats in the cgroup accounting with slurm. This will also collect stats of a job using NVIDIA GPUs.

  • UpdatedDec 3, 2025
  • Python

Remote development on HPC clusters with VSCode

  • UpdatedSep 19, 2022
  • Jupyter Notebook

🖥️ A Beowulf cluster is a type of High-Performance Computing (HPC) cluster that is designed to perform parallel computations on large data sets or complex computational problems. This tutorial explains how to setup and run your first Beowulf cluster.

  • UpdatedDec 1, 2025

CSCS public documentation

  • UpdatedDec 17, 2025
  • Shell

A highly scalable framework for the performance and energy monitoring of HPC servers

  • UpdatedOct 11, 2025
  • HTML

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