Using containers to simplify ML training on Berzelius and other supercomputers: beginner-friendly introduction
October 19 @ 10:00 – 11:00 CEST
This webinar is part of the Tools for AI/ML research in life sciences event series arranged by the SciLifeLab Data Centre.
Title: Using containers to simplify ML training on Berzelius and other supercomputers: beginner-friendly introduction
Speakers: AI engineers from the SciLifeLab Data Centre and application experts from Berzelius (NSC, LiU).
Where and when: October 19, 2023 at 10:00-11:00 Stockholm time, online. Registration is open till Oct 18 at 24.00.
Abstract: A common approach to train machine learning models is to first create a prototype using a small dataset on a local machine to verify that it works and thereafter use a large scale compute infrastructure such as Berzelius for the full-scale training. One of the challenges with this approach however is incompatible systems in terms of differences in available software packages, versions, etc. An effective way to solve this issue is to use a container solution. Using a container environment allows a highly portable workflow and reproducible results between systems as diverse as a laptop, Berzelius or EuroHPC resources such as LUMI for instance. During this beginner-friendly event, we will introduce and demonstrate how to work with containers on Berzelius (Apptainer and Enroot) using an example from life sciences, starting from raw data and finishing with a trained model. During the Q&A session, the Berzelius life science support team will answer your questions.
More about the event series:
Tools for AI/ML research in life sciences is an event series by the SciLifeLab Data Centre aimed at life science researchers who use machine learning methods in their work. The goal of the events in this series is to provide introductions to different tools for ML research but also to foster discussions around our practices and how they can be improved. The events takes place virtually (over Zoom) and are open to researchers in Sweden and beyond. Each event is scheduled for 60 minutes, consisting of a talk and an extended discussion. Follow the page of the event series to learn about future seminars.
For questions about the events please contact the organizing team by emailing serve@scilifelab.se
Scientific lead: Prof. Ola Spjuth, SciLifeLab Data Centre and Uppsala University
Contact information: serve@scilifelab.se
serve@scilifelab.se
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