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SMC 2021: Virtual Event
- Jeffrey Nichols
, Arthur Barney Maccabe
Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation - 21st Smoky Mountains Computational Sciences and Engineering, SMC 2021, Virtual Event, October 18-20, 2021, Revised Selected Papers. Communications in Computer and Information Science 1512, Springer 2022, ISBN 978-3-030-96497-9
Computational Applications: Converged HPC and Artificial Intelligence
- Ajay Jasra
Randomized Multilevel Monte Carlo for Embarrassingly Parallel Inference. 3-21 - Qian Gong
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. 22-39 - Thorben Louw
Applying Recent Machine Learning Approaches to Accelerate the Algebraic Multigrid Method for Fluid Simulations. 40-57 - Suhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin
Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery. 58-75
Advanced Computing Applications: Use Cases that Combine Multiple Aspects of Data and Modeling
- Massimiliano Lupo Pasini
Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural Networks. 79-98 - Franz Poeschel
Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2. 99-118 - Ana Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki
Understanding and Leveraging the I/O Patterns of Emerging Machine Learning Analytics. 119-138 - Srikanth B. Yoginath
Secure Collaborative Environment for Seamless Sharing of Scientific Knowledge. 139-156 - Sreenivas R. Sukumar
The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. 157-172 - Tekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae
High-Performance Ptychographic Reconstruction with Federated Facilities. 173-189 - Ying Wai Li, Peter W. Doak
Machine-Learning Accelerated Studies of Materials with High Performance and Edge Computing. 190-205
Advanced Computing Systems and Software: Connecting Instruments from Edge to Supercomputers
- Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental, Mike Hammer, Antonino Miceli:
A Hardware Co-design Workflow for Scientific Instruments at the Edge. 209-226 - David Rager, Aaron Andersen:
NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine Learning. 227-246 - Justin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster:
Braid-DB: Toward AI-Driven Science with Machine Learning Provenance. 247-261 - Muneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman
Lessons Learned on the Interface Between Quantum and Conventional Networking. 262-279 - Taylor L. Groves, Damian Hazen, Glenn K. Lockwood, Nicholas J. Wright:
Use It or Lose It: Cheap Compute Everywhere. 280-298
Deploying Advanced Computing Platforms: On the Road to a Converged Ecosystem
- M. Graham Lopez, Jeff R. Hammond, Jack C. Wells, Tom Gibbs, Timothy B. Costa:
Enabling ISO Standard Languages for Complex HPC Workflows. 301-309 - Claudia Misale, Daniel J. Milroy
Towards Standard Kubernetes Scheduling Interfaces for Converged Computing. 310-326 - Jens Glaser, Felipe Aramburú, William Malpica, Benjamín Hernández, Matthew B. Baker, Rodrigo Aramburú:
Scaling SQL to the Supercomputer for Interactive Analysis of Simulation Data. 327-339 - Gilad Shainer, Richard L. Graham, Chris J. Newburn, Oscar R. Hernandez, Gil Bloch, Tom Gibbs, Jack C. Wells:
NVIDIA's Cloud Native Supercomputing. 340-357
Scientific Data Challenges
- Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane
Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. 361-382 - Chen Zhang, Zachary Morgan
Advanced Image Reconstruction for MCP Detector in Event Mode. 383-397 - Sergio Iserte:
An Study on the Resource Utilization and User Behavior on Titan Supercomputer. 398-410 - Remington Kim
Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link Prediction. 411-419 - Michael R. Lindstrom, William J. Swartworth, Deanna Needell:
Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient Size. 420-429 - Ankit Patel, Saeel Shrivallabh Pai, Haresh Rengaraj Rajamohan, Manohar Bongarala
Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding Techniques. 430-441 - Ridhima Singh
Exploring the Spatial Relationship Between Demographic Indicators and the Built Environment of a City. 442-454 - Michael C. Cao, Jonathan Schwartz, Huihuo Zheng
Atomic Defect Identification with Sparse Sampling and Deep Learning. 455-463
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