Python Workflows on HPC Systems
TimeFriday, 13 November 20202:55pm - 3:30pm EDT
DescriptionThe recent successes and wide spread application of compute-intensive machine learning and data analytics methods have been boosting the usage of the Python programming language on HPC systems. While Python provides many advantages for the users, it was not designed with a focus on multi-user environments or parallel programming, making it quite challenging to maintain stable and secure Python workflows on an HPC system. In this paper, we analyze the key problems induced by the usage of Python on HPC clusters and sketch appropriate workarounds for efficiently maintaining multi-user Python software environments, securing and restricting resources of Python jobs and containing Python processes, while focusing on deep learning applications running on GPU clusters.