Aalto Scientific Computing

This site contains documentation about scientific and data-intensive computing at Aalto and beyond. It is targeted towards Aalto researchers, but has some useful information for everyone. The data management section is useful even to non-computational researchers.

Aalto Scientific Computing maintains these pages with the help of the Aalto community. [twitter] We consist of Science-IT (HPC, the Triton cluster), certain department ITs, and other friends. You can join us.


14/01/2021 Save the date: 29 January 2021: Crash course on Data Science workflows at Aalto + Linux terminal basics in preparation for 1-2 February 2021: Triton Winter Kickstart. Registration link can be found withing the course pages. Kickstart course is highly recommended to new Triton HPC users.

We are updating our hands-on trainings pages with our courses for Spring 2021. Join our daily garage if you have issues to discuss related to computing or data management. If you are into research software, join our Research Software Hour Twitch show, usually every thursday at 21:30 (Helsinki time).


Triton is the Aalto high performance computing cluster. It is your go-to resources for anything that exceeds your desktop computer’s capacity.

Cheatsheets: Triton

Aalto Research Software Engineering

Skills to do science are different than skills to write good research code. The Aalto Research Software Engineering group provides support and mentoring to those using computing and data.


We have various recommended training courses for researchers who deal with computation and data. These courses are selected by researchers, for researchers and grouped by level of skill needed.


These docs are open source: all content is licensed under CC-BY 4.0 and all examples under CC0 (public domain). Additionally, this is an open project and we strongly encourage anyone to contribute. For information, see the About this site and the Github links at the top of every page. Either make Github issues, pull requests, or ask for direct commit access. Be bold: the biggest problem is missing information, and mistakes can always be fixed.