Sep 24 – 27, 2019
CERN
Europe/Zurich timezone

Deploying AI Frameworks on Secure HPC Systems with Containers

Sep 24, 2019, 10:00 AM
30m
80/1-001 - Globe of Science and Innovation - 1st Floor (CERN)

80/1-001 - Globe of Science and Innovation - 1st Floor

CERN

60
Show room on map

Speaker

Sofia Vallecorsa (CERN)

Description

The increasing interest in the usage of Artificial Intelligence techniques (AI) from the research community and industry to tackle “real world” problems, requires High Performance Computing (HPC) resources to efficiently compute and scale complex algorithms across thousands of nodes. Unfortunately, typical data scientists are not familiar with the unique requirements and characteristics of HPC environments. They usually develop their applications with high level scripting languages or frameworks such as TensorFlow and the installation processes often requires connection to external systems to download open source software during the build. HPC environments, on the other hand, are often based on closed source applications that incorporate parallel and distributed computing API’s such as MPI and OpenMP, while users have restricted administrator privileges, and face security restrictions such as not allowing access to external systems. In this paper we discuss the issues associated with the deployment of AI frameworks in a secure HPC environment and how we successfully deploy AI frameworks on SuperMUC-NG with Charliecloud.

Presentation materials