|Name:||UNIVA: The Challenges Running Machine Learning Applications in Docker on Univa Grid Engine|
|Time:||Wednesday, June 21, 2017
03:20 pm - 03:40 pm
|Breaks:||03:15 pm - 03:45 pm Coffee Break|
|Speaker:||Bill Bryce, UNIVA|
|Abstract:||Machine Learning has been around for a long time but recent advances in Machine Learning tools and frameworks makes it much easier to tackle complex multi-dimensional problems. Many of these frameworks are themselves complex and to simplify the complexity they are sometimes packaged as Docker images and can be run as Docker Containers on a machine. Running these Machine Learning containers on a Grid managed by
Univa Grid Engine presented us with unique challenges in managing, running, controlling and accounting for the applications. In this presentation we will demonstrate a Machine Learning application running in a Docker container on Univa Grid Engine, discuss each issue we encountered, the solutions implemented and outstanding problems that still need to be solved.