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Organization

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Brookhaven National Laboratory
Contributors
Mohammad Atif
Thomas Flynn
Jin Huang
Yi Huang
Shantenu Jha
Ai Kagawa
Christopher Kelly
Lingda Li
Meifeng Lin
Yangang Liu
Vanessa Lopez-Marrero
Kalyan Muppudojo
Aniket Kumar Ramesh
Yihui Ren
Perry Siehien
Mikhail Titov
Matteo Turilli
Hubertus Van Dam
Fan Yang
Shinjae Yoo
Kwang Min Yu
Tao Zhang
Session Chairs
Eric Lançon
Wei Xu
Presentations
Workshop
Asynchronous Multi-Level Checkpointing: An Enabler of Reproducibility using Checkpoint History Analytics
Fault Handling and Tolerance
W
Workshop
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data
Data Analysis, Visualization, and Storage
Data Compression
W
Posters
Research Posters
Graph Based Anomaly Detection in Chimbuko: Feasible or Fallible?
TP
XO/EX
Posters
Research Posters
Real-Time Change Point Detection in Molecular Dynamics Streaming Data
TP
XO/EX
Workshop
Scaling on Frontier: Uncertainty Quantification Workflow Applications Using ExaWorks to Enable Full System Utilization
Data Analysis, Visualization, and Storage
Large Scale Systems
Programming Frameworks and System Software
Reproducibility
Resource Management
Runtime Systems
W
Posters
Research Posters
Towards Enabling Digital Twins Capabilities for a Cloud Chamber
TP
XO/EX
Workshop
Uncertainty Quantification of Metal Additive Manufacturing Processing Conditions Through the Use of Exascale Computing
Performance Optimization
W
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Using Deep Neural Networks to Classify Hot-Cold Data Storage
Artificial Intelligence/Machine Learning
Algorithms
Applications
Architecture and Networks
Cloud Computing
Distributed Computing
Data Analysis, Visualization, and Storage
Performance Measurement, Modeling, and Tools
Programming Frameworks and System Software
TP
XO/EX
Sessions
Paper
Applications of Machine Learning
Artificial Intelligence/Machine Learning
Applications
Modeling and Simulation
State of the Practice
TP
Workshop
The Second Workshop on Federated and Privacy Preserving AI for HPC
Artificial Intelligence/Machine Learning
Distributed Computing
W