TY - GEN
T1 - Visualizing an Exascale Data Center Digital Twin
T2 - 2024 IEEE Visualization and Visual Analytics Conference, VIS 2024
AU - Maiterth, Matthias
AU - Brewer, Wes
AU - De Wet, Dane
AU - Greenwood, Scott
AU - Kumar, Vineet
AU - Hines, Jesse
AU - Bouknight, Sedrick
AU - Wang, Zhe
AU - Dykes, Tim
AU - Wang, Feiyi
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - 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.
AB - 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.
KW - Augmented Reality
KW - Data Center
KW - Digital Twin
KW - Information Representation
KW - Massively Parallel Systems
KW - Operational Data Analytics
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85208079502&partnerID=8YFLogxK
U2 - 10.1109/VIS55277.2024.00012
DO - 10.1109/VIS55277.2024.00012
M3 - Conference contribution
AN - SCOPUS:85208079502
T3 - Proceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
SP - 21
EP - 25
BT - Proceedings - 2024 IEEE Visualization Conference - Short Papers, VIS 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 October 2024 through 18 October 2024
ER -