Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities
Matthias Maiterth - Oak Ridge National Laboratory, Oak Ridge, United States
Wes Brewer - Oak Ridge National Laboratory, Oak Ridge, United States
Dane De Wet - Oak Ridge National Laboratory, Oak Ridge, United States
Scott Greenwood - Oak Ridge National Laboratory, Oak Ridge, United States
Vineet Kumar - Oak Ridge National Laboratory, Oak Ridge, United States
Jesse Hines - Oak Ridge National Laboratory, Oak Ridge, United States
Sedrick L Bouknight - Oak Ridge National Laboratory, Oak Ridge, United States
Zhe Wang - Oak Ridge National Laboratory, Oak Ridge, United States
Tim Dykes - Hewlett Packard Enterprise, Berkshire, United Kingdom
Feiyi Wang - Oak Ridge National Laboratory, Oak Ridge, United States
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Room: Bayshore VI
2024-10-16T18:03:00Z GMT-0600 Change your timezone on the schedule page
2024-10-16T18:03:00Z
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Keywords
Digital Twin, Data Center, Information Representation, Massively Parallel Systems, Operational Data Analytics, Simulation, Augmented Reality
Abstract
Digital twins are an excellent tool to model, visualize, and simulate complex systems, to understand and optimize their operation. In this work, we present the technical challenges of real-time visualization of a digital twin of the Frontier supercomputer. We show the initial prototype and current state of the twin and highlight technical design challenges of visualizing such a large High Performance Computing (HPC) system. The goal is to understand the use of augmented reality as a primary way to extract information and collaborate on digital twins of complex systems. This leverages the spatio-temporal aspect of a 3D representation of a digital twin, with the ability to view historical and real-time telemetry, triggering simulations of a system state and viewing the results, which can be augmented via dashboards for details. Finally, we discuss considerations and opportunities for augmented reality of digital twins of large-scale, parallel computers.