Research - Running Python/R applications and containers on the clusters

A lot of scientific applications at UNIL are based on Python or R. Running such applications on HPC clusters can be complex regarding the constraints induced by the use of shared facilities with no administrative rights. This course provides information on how to be autonomous regarding installation/run of Python and R applications on the DCSR clusters (excepted Jura). It also covers the way to run and create Singularity containers to use applications with complex dependencies ont the clusters.

Objectives

Target audience

Any PhD students, post-docs, researchers of UNIL and CHUV who need to use (their own/open source) Python or R applications on the UNIL HPC clusters

Content

At the end of the course, the participants are expected to:

Length

1 half-day

Organization

On a quarterly basis

Location

To be defined or remotely

Prerequisites

IMPORTANT: Please register using your UNIL email address!

 

Course dates and registration

 


Revision #8
Created 3 November 2020 17:01:32 by PW
Updated 20 October 2021 05:49:00 by PW