Training & tutorials
New guide for using Python effectively on CSC supercomputers, 27.6.2024
We have reworked our Python documentation. Instructions on installing packages, using different development environments and running parallel jobs have been updated and are now found under a guide called Using Python on CSC supercomputers.
The Python application page has been simplified to purely describe the different Python implementations in our computing environment. As a new addition there is a list of our pre-made Python environment modules along with their intended purposes and included packages.
Spring School on Computational Chemistry materials available for self learning, 10.5.2024
The School materials cover intro to molecular dynamics and electronic structure theory lectures and hands-on exercises, and machine learning for molecular and material use cases. You can also access the Notebooks directly via the Puhti web interface (once logged in, select "Jupyter for courses" and the desired course module.)
How to run GROMACS efficiently on LUMI training materials published, 6.2.2024
The materials from the workshop "How to run GROMACS efficiently on LUMI" are now available in the Zenodo repository.
Access CSC newsletter and mailing list archives from Docs CSC, 13.12.2023
The Contact page has been updated to include a selection of CSC newsletter and mailing list archives. Look here if you're having trouble finding an email or a newsletter sent to you by CSC!
New way to provide feedback on pages in Docs CSC, 30.10.2023
Docs CSC now features feedback buttons at the bottom of every page.
The buttons present a quick and easy way of providing feedback on a particular page.
Changes in navigation on Docs CSC, 22.02.2023
Some changes have been made to how the sidebar navigation works on Docs CSC. Many of the sections have had pages like Overview, Contents or other index-like pages moved under the section headings themselves, which are now links:
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New guide for working with Earth Observation data, 19.01.2023
The Earth Observation guide aims to help researchers to work with Earth Observation (EO) data by giving an overview of available data and tools for raster data based EO tasks. The focus of the guide is on using CSC computing resources for EO data processing and analysis. However, it also includes some information of non CSC related options for processing and download of EO data.
Training materials and sources from CSC and partners, 12.12.2022
Check out this concise table of training materials available from us and our partners on many topics related to doing science with computers.
A new visual appearance for Docs CSC, 18.8.2022
In an effort to maintain a coherent style across CSC websites, Docs CSC has gained a refreshed visual appearance.
Documentation on custom Jupyter notebooks for your courses, 13.6.2022
Our documentation on custom Jupyter notebooks for your courses has been extended. Trainers or course organisers can leverage the power of supercomputers for their courses in easy-to-use Jupyter notebooks at CSC. Using custom notebooks in courses is very user-friendly and scalable for remote or onsite courses.
Documentation on High-throughput computing and workflows updated, 6.6.2022
Our documentation on high-throughput computing and workflows has been updated and extended. The page contains important instructions and guidelines on how to run workflows and tasks with heavy IO patterns in CSC's computing environment. By carefully selecting the most appropriate technology stack, your jobs will idle less in the queue, IO-operations will be more efficient and the performance of the whole HPC system will remain stable and fast for all users. To this end, the page presents flow charts that will help you narrow down the most appropriate tools for your use case.
New guide for getting started with machine learning at CSC, 8.4.2022
Even experienced machine learning users might have a hard time taking the leap into the supercomputer environment as things work a bit differently than in the personal computing environment. We have now created a guide to help people get started with doing machine learning at CSC. The guide shows, step by step, how to get your codes and data to Puhti and running on GPUs.
How does LUMI-C differ from Mahti? 6.4.2022
A brief overview of key differences between LUMI-C and CSC supercomputers, notably Mahti, has been published. See this page to quickly understand which aspects you should be mindful of when starting as a new LUMI user as well as where to get more information!
Tutorial on managing data on scratch disks, 5.4.2022
A best practice guide on managing data on Puhti and Mahti scratch disks has been published. The tutorial explains why it's important to keep your project's scratch disk free from inactive data and gives recommendations on what you should do with data that is not currently in active use. Tips on how to identify where you have large amounts of data are also provided, along with a note on the future automatic removal of files.
FireWorks workflow tool, 15.2.2022
A guide on using FireWorks in CSC's computing environment has been released. The guide explains how to use an external MongoDB on Rahti as a backend database for FireWorks and how to launch workflows running parallel jobs through the batch queue system.
Accessing databases on Rahti from CSC supercomputers, 8.2.2022
A tutorial on how to connect to databases on Rahti from CSC supercomputers has been published. The tutorial describes the process of setting up MongoDB on Rahti and how to establish an HTTP-compatible connection between the database and Puhti/Mahti using the WebSocat tool.
New machine learning guide released, 20.12.2021
Our Machine learning guide has been updated and expanded. It now includes subsections on: