README.md

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:

• RWTH HPC user documentation
• RWTH HPC consultation hour
• HPC wiki
• HPC trainings
• RWTH technical support

What can you find here?

Folder	Description
generic-job-scripts	General-purpose job submission scripts (our current workload is Slurm) for various workloads, including CPU and GPU-based computations.
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.