Welcome to HPC documentation¶

Welcome to the official documentation for the HPC service at ETH Zürich. Whether you're a new user getting started with high-performance computing or an experienced researcher looking for specific technical details, this documentation will guide you through using Euler and related services effectively and efficiently.

System status

All systems are operational
Services are available and operational.

News¶

Upcoming events¶

24 Feb 2026 - In-person Help Desk, campus city centre

What is Euler?¶

Euler is ETH Zürich's central high-performance computing (HPC) cluster, providing computational resources for research across all disciplines. The cluster offers:

High-performance compute nodes with the latest CPUs and GPUs
Large-scale parallel computing capabilities
Extensive software library with pre-installed scientific applications
Professional support from the Scientific IT Services team

Quick start guide¶

🚀 New to HPC?¶

Start with our beginner-friendly guides:

Getting started - Your first steps on Euler
Your first job - Step-by-step tutorial for submitting your first computational job
Basic Linux commands - Essential command-line skills

🔧 Ready to compute?¶

Jump into running your first jobs:

Batch system (Slurm) - Submit and manage computational jobs
Software environment - Load and manage software packages
Storage systems - Understand data storage options

🏃‍♂️ Advanced users¶

Optimize your computational workflows:

Debugging - Troubleshoot and optimize your jobs
GPU computing - Leverage accelerated computing
Containers - Install and run custom applications in isolated environments

Cluster resources¶

Hardware overview¶

Login nodes - Access points to the cluster
CPU nodes - General-purpose computing resources
GPU nodes - Accelerated computing with NVIDIA GPUs
Network - High-speed interconnects
Storage - File systems and data management

Available services¶

JupyterHub - Interactive Jupyter notebooks
RStudio server - Web-based R development environment
Code server - VS Code in your browser
Globus - Large-scale data transfer

Software & Applications¶

Euler provides a comprehensive software stack including:

Scientific computing¶

C/C++ - Compilers and libraries for C/C++
MATLAB - Numeric computing platform
Python - Scientific Python ecosystem
PyTorch - Deep learning framework
R - Statistical computing and graphics

Engineering & simulation¶

Abaqus - Finite element analysis
Ansys - Engineering simulation
COMSOL - Multiphysics simulation
ParaView - Data visualization

Latest news & updates¶

Stay informed about cluster maintenance and new features:

Mailing list - Latest updates and scheduled maintenance

Getting help & support¶

Documentation¶

FAQ - Frequently asked questions

User Support¶

Contact information - Get in touch with our team
Help Desk - In-person support
About us - Meet the Scientific IT Services team

Acknowledgments¶

If you use Euler for your research, please consider acknowledging the cluster in your publications.

Need Help?

Can't find what you're looking for? Check our FAQ or contact support for assistance.

Contributing to Documentation

Found an error or want to improve the documentation? We welcome contributions from the ETH community! Click the edit button (✏️) at the top of any page to suggest changes. You'll need to log in to GitLab with your ETH LDAP credentials to create a merge request.