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Sedrick Bouknight

dblp:390/0368 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0009-0001-9730-3555ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
High-performance computing · 36% Embedded and real-time systems · 28% Energy-efficient computing · 28%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 77% Visualization and visual analytics · 23%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Embedded and real-time systems
digital twin
0.812024
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024
Energy-efficient computing › thermal management
liquid cooling
0.812024
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024
High-performance computing
supercomputing
0.812024
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024
Performance modeling and evaluation
simulation
0.212024
A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale · SC 2024

Methods — techniques the papers use, named apart from their topics

augmented reality · 2.3dashboard integration · 1.5thermo-fluidic modeling · 0.8power simulation · 0.83d representations · 0.83d representation · 0.8
YearPublicationVenuePosition
2024 A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
abstract
We present ExaDigiT, an open-source framework for developing comprehensive digital twins of liquid-cooled supercomputers. It integrates three main modules: (1) a resource allocator and power simulator, (2) a transient thermo-fluidic cooling model, and (3) an augmented reality model of the supercomputer and central energy plant. The framework enables the study of “what-if” scenarios, system optimizations, and virtual prototyping of future systems. Using Frontier as a case study, we demonstrate the framework’s capabilities by replaying six months of system telemetry for systematic verification and validation. Such a comprehensive analysis of a liquid-cooled exascale supercomputer is the first of its kind. ExaDigiT elucidates complex transient cooling system dynamics, runs synthetic or real workloads, and predicts energy losses due to rectification and voltage conversion. Throughout our paper, we present lessons learned to benefit HPC practitioners developing similar digital twins. We envision the digital twin will be a key enabler for sustainable, energy-efficient supercomputing.
Wesley Brewer, Matthias Maiterth, Rafal P. Wojda, Sedrick Bouknight, Jesse Hines, Woong Shin, Scott Greenwood, David Grant, Wesley Williams, Feiyi Wang
SC5
2024 Visualizing an Exascale Data Center Digital Twin: Considerations, Challenges and Opportunities
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.
Matthias Maiterth, Wesley Brewer, Dane De Wet, Scott Greenwood, Jesse Hines, Sedrick Bouknight, Timothy Dykes, Feiyi Wang
IEEE VIS7