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. [Mastodon, twitter] We consist of Science-IT (HPC, the Triton cluster), certain department ITs, and other friends. You can join us.


21/10/2022 Upgrade of the triton login node: After running out of memory several times on our login node, we upgraded the memory from previously 128Gb to 256Gb. This is hopefully sufficient for most compilation and development work happening on the node. Any computation or memory intensive job should still be run on the compute nodes, but this upgrade provides us with a more robust system.

Upcoming Courses

From 22nd till 25th of November we will be running our popular *Python for Scientific Computing* course again. The registration is open and can be accessed here. Please also visit our training webpages to check other upcoming courses or request a re-run of past hands-on courses.

Join our daily zoom garage for any scientific computing related issue (not just Triton!) or to just chat and feel part of the community.

The Aalto environment

Aalto provides a wide variety of support for scientific computing. For a summary, see the IT Services for Research page. For information about data storage at Aalto, see the section on data management below.

Cheatsheets: CS, Data.

Data management

In this section, you can find some information and instructions on data management. Concrete information: main Aalto services and global services. Main Theoretical information: Aalto-specific summary and Aalto’s Research Data Management pages.

Cheatsheets: Data, A4 Data management plan.


Triton is the Aalto high performance computing cluster. It is your go-to resources for anything that exceeds your desktop computer’s capacity. To get started, you could check out the tutorials (going through all the principles) or quickstart guide (if you pretty much know the basics).

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.

Scientific computing

In this section, you find general (not Aalto specific) scientific computing resources.

Cheatsheets: git for normal people, Gitlab (produced by Gitlab, with Aalto link)


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.