GOOD 2025

Jonathan Halverson [Princeton]

Jonathan Halverson is the Training Lead for the Princeton Institute of Computational Science and Engineering at Princeton University.


Sessions

03-18
14:30
25min
Lessons Learned from 8 Years of Open OnDemand at Princeton Research Computing
Josko Plazonic [Princeton], Jonathan Halverson [Princeton], Irene Kopaliani [Princeton]

Adopting a new software platform that has the power to change the way teaching and research is done is rarely easy. In this talk, we explain how Princeton University Research Computing started with Open OnDemand (OOD), what we contributed, and what we learned. Hear about our problems, solutions and continued pain points.

Platform Track
Belfer Case Study Room (CGIS S020)
03-19
17:20
10min
Integration of Open OnDemand with the Jobstats Job Monitoring Platform
Josko Plazonic [Princeton], Jonathan Halverson [Princeton]

Given the ever increasing cost of compute (especially GPUs) it is imperative that these resources are used efficiently. How can this be achieved in a simple-to-use way on a high-performance computing cluster that supports a large number of diverse researchers? Our solution is Jobstats, a job monitoring platform which integrates with Open OnDemand (OOD). This talk will provide an overview of the platform and its various components while concentrating on its links with OOD. Our planned extensions for the OOD integration will be presented with the hope of receiving feedback and new ideas from attendees.

Application Track
Tsai Auditorium (CGIS S010)