Skip to content
Snippets Groups Projects
Select Git revision
  • 872d5156a161c21564b3f650918422c62e4ce40d
  • main default protected
2 results

examples

  • Clone with SSH
  • Clone with HTTPS
  • Jannis Klinkenberg's avatar
    872d5156
    History

    Examples for HPC cluster usage at RWTH Aachen University

    This repository contains a collection of examples, best practices, and guidelines for effectively using the High-Performance Computing (HPC) cluster at RWTH Aachen University. Whether you are new to HPC or an experienced user, you will find useful scripts, job submission templates, performance tuning tips, and troubleshooting advice.

    For general help, documentation, and trainings please refer to the following pages:

    What can you find here?

    Folder Sub-Folder Description
    generic-job-scripts - General-purpose job submission scripts (our current workload is Slurm) for various workloads, including CPU and GPU-based computations.
    machine-and-deep-learning - Collection of different examples in the context of Machine Learning (ML), Deep Learning (DL) and Large Language Models (LLMs)
    ollama Examples how to run and use LLMs with Ollama.
    pytorch Example scripts and best practices for running PyTorch workloads on an HPC cluster, including distributed training and GPU utilization.
    scikit-learn HPC-friendly examples of using Scikit-Learn, including job submission scripts for machine learning model training.
    tensorflow TensorFlow job scripts and performance optimization techniques for running deep learning models on CPUs and GPUs in an HPC environment.
    vllm Examples how to run and use LLMs with vLLM.