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 (and no Internet access in the case of Jura cluster). This course provides information on how to be autonomous regarding installation/run of Python and R applications on all the DCSR clusters.
|Objectives||Learn how to install and run in a clean way Python and R applications on the UNIL HPC clusters. The purpose is NOT to learn Python or R programming.|
|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.|
At the end of the course, the participants are expected to:
|Organization||On a quarterly basis|
|Location||To be defined or remotely|