Cover Image

TX-Digital Twin: Visualizing Supercomputer GPU Performance Data Stream

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baskakova, Elena, Bergeron, William, Hubbell, Matthew, Jananthan, Hayden, Kepner, Jeremy
Format:	Preprint
Published:	2026
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Supercomputer 3D Digital Twin for User Focused Real-Time Monitoring
by: Bergeron, William, et al.
Published: (2024)

GPU Sharing with Triples Mode
by: Byun, Chansup, et al.
Published: (2024)

LLload: Simplifying Real-Time Job Monitoring for HPC Users
by: Byun, Chansup, et al.
Published: (2024)

HPC with Enhanced User Separation
by: Prout, Andrew, et al.
Published: (2024)

pPython Performance Study
by: Byun, Chansup, et al.
Published: (2023)

Hypersparse Traffic Matrices from Suricata Network Flows using GraphBLAS
by: Houle, Michael, et al.
Published: (2024)

A Digital Twin Framework for Liquid-cooled Supercomputers as Demonstrated at Exascale
by: Brewer, Wesley, et al.
Published: (2024)

Otus Supercomputer
by: Ehtesabi, Sadaf, et al.
Published: (2025)

Analysis of the Performance of the Matrix Multiplication Algorithm on the Cirrus Supercomputer
by: Adefemi, Temitayo
Published: (2024)

Leveraging Hardware Performance Counters for Predicting Workload Interference in Vector Supercomputers
by: Shubham, et al.
Published: (2024)

Scaling All-to-all Operations Across Emerging Many-Core Supercomputers
by: Kinkead, Shannon, et al.
Published: (2026)

Enabling Message Passing Interface Containers on the LUMI Supercomputer
by: Lazzaro, Alfio
Published: (2024)

Supercomputing for High-speed Avoidance and Reactive Planning in Robots
by: Lachmansingh, Kieran S., et al.
Published: (2025)

Bandwidth-Aware LLM Inference on Heterogeneous Many-Core Supercomputers
by: Lu, Yao, et al.
Published: (2026)

Extracting Practical, Actionable Energy Insights from Supercomputer Telemetry and Logs
by: Cornelius, Melanie, et al.
Published: (2025)

OpenDT: Exploring Datacenter Performance and Sustainability with a Self-Calibrating Digital Twin
by: Nicolae, Radu, et al.
Published: (2026)

Parallel Reduced Order Modeling for Digital Twins using High-Performance Computing Workflows
by: de Parga, S. Ares, et al.
Published: (2024)

Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer
by: Takahashi, Keichi, et al.
Published: (2023)

MalleTrain: Deep Neural Network Training on Unfillable Supercomputer Nodes
by: Ma, Xiaolong, et al.
Published: (2024)

HP2C-DT: High-Precision High-Performance Computer-enabled Digital Twin
by: Iraola, E., et al.
Published: (2025)

Twinning for Space-Air-Ground-Sea Integrated Networks: Beyond Conventional Digital Twin Towards Goal-Oriented Semantic Twin
by: Qiu, Yifei, et al.
Published: (2025)

Trust, but Verify: ByzTwin-Range, a Digital Twin Cyber-Range for Byzantine Faults
by: Freitas, Tadeu, et al.
Published: (2026)

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale
by: Zhao, Dan, et al.
Published: (2024)

Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
by: Xu, Bin, et al.
Published: (2025)

A Multi-Simulation Bridge for IoT Digital Twins
by: Picone, Marco, et al.
Published: (2025)

A Real-Time Digital Twin for Adaptive Scheduling
by: Zhang, Yihe, et al.
Published: (2025)

Fast Online Digital Twinning on FPGA for Mission Critical Applications
by: Xu, Bin, et al.
Published: (2025)

PWDFT-SW: Extending the Limit of Plane-Wave DFT Calculations to 16K Atoms on the New Sunway Supercomputer
by: Jiang, Qingcai, et al.
Published: (2024)

Minos: Systematically Classifying Performance and Power Characteristics of GPU Workloads on HPC Clusters
by: Jain, Rutwik, et al.
Published: (2026)

Easy Acceleration with Distributed Arrays
by: Kepner, Jeremy, et al.
Published: (2025)

GPZ: GPU-Accelerated Lossy Compressor for Particle Data
by: Li, Ruoyu, et al.
Published: (2025)

Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
by: Nozaki, Ai, et al.
Published: (2026)

Evaluation of Programming Models and Performance for Stencil Computation on Current GPU Architectures
by: Shan, Baodi, et al.
Published: (2024)

Host-Side Telemetry for Performance Diagnosis in Cloud and HPC GPU Infrastructure
by: Darzi, Erfan, et al.
Published: (2025)

Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers
by: Singh, Siddharth, et al.
Published: (2025)

A Multi-Objective Framework for Optimizing GPU-Enabled VM Placement in Cloud Data Centers with Multi-Instance GPU Technology
by: Siavashi, Ahmad, et al.
Published: (2025)

Multi-Factor Trust-Driven Secure Communication Model for Cloud-Based Digital Twins
by: Saxena, Deepika, et al.
Published: (2026)

GPU Under Pressure: Estimating Application's Stress via Telemetry and Performance Counters
by: Esposito, Giuseppe, et al.
Published: (2025)

A Study of Performance Programming of CPU, GPU accelerated Computers and SIMD Architecture
by: Yi, Xinyao
Published: (2024)

BandPilot: Towards Performance- and Contention-Aware GPU Dispatching in AI Clusters
by: Zhang, Kunming, et al.
Published: (2025)