Test project for building containers and running python code

SUPR uses JavaScript for certain functions. We cannot guarantee that you will be able to use the system with JavaScript disabled.

Dnr:

NAISS 2024/22-678

Type:

NAISS Small Compute

Principal Investigator:

Stefan Gustafsson

Affiliation:

Uppsala universitet

Start Date:

2024-05-14

End Date:

2024-11-01

Primary Classification:

10203: Bioinformatics (Computational Biology) (applications to be 10610)

Webpage:

Allocation

Mimer at C3SE: 250 GiB
Alvis at C3SE: 50 GPU-h/month

Abstract

Convenience project used to build containers and test GPU-based python code for non-sensitive data outside of Bianca. The aim of the project is to build prediction models based on ECG data to predict various cardiovascular outcomes. A convolutional neural network with residual blocks is the architecture used.