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SMC 2020: Oak Ridge, TN, USA
- Jeffrey Nichols
, Becky Verastegui
Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI - 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Papers. Communications in Computer and Information Science 1315, Springer 2020, ISBN 978-3-030-63392-9
Computational Applications: Converged HPC and Artificial Intelligence
- Lei Huang, Edward Clee, Nishath Rajiv Ranasinghe
Improving Seismic Wave Simulation and Inversion Using Deep Learning. 3-19 - Patrick Stiller, Friedrich Bethke, Maximilian Böhme
Large-Scale Neural Solvers for Partial Differential Equations. 20-34 - Rick Archibald
Integrating Deep Learning in Domain Sciences at Exascale. 35-50 - Neil Lindquist
Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. 51-66 - Harry Waugh, Simon McIntosh-Smith:
On the Use of BLAS Libraries in Modern Scientific Codes at Scale. 67-79
System Software: Data Infrastructure and Life Cycle
- Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar:
A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. 83-98 - Franck Cappello, Sheng Di, Ali Murat Gok:
Fulfilling the Promises of Lossy Compression for Scientific Applications. 99-116 - Bogdan Nicolae
DataStates: Towards Lightweight Data Models for Deep Learning. 117-129 - Yan Y. Liu, Jibonananda Sanyal:
Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping. 130-144 - Nicholas Schwarz, Stuart Campbell, Alexander Hexemer
Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. 145-156 - David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki
Visualization as a Service for Scientific Data. 157-174 - William F. Godoy
Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid. 175-186
Experimental/Observational Applications: Use Cases That Drive Requirements for AI and HPC Convergence
- Thomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, Nageswara S. V. Rao, James Kohl, Wael R. Elwasif
Software Framework for Federated Science Instruments. 189-203 - David J. Durden
Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions. 204-225 - James E. McClure, Junqi Yin, Ryan T. Armstrong
Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC. 226-239 - Scott Campbell, Mariam Kiran, Fatema Bannat Wala:
Unsupervised Anomaly Detection in Daily WAN Traffic Patterns. 240-256 - Mathieu Doucet
From Smart Homes to Smart Laboratories: Connected Instruments for Materials Science. 257-268 - Randy Michael Churchill
Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. 269-284 - Jong Choi, Ruonan Wang, Randy Michael Churchill
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. 285-299
Deploying Computation: On the Road to a Converged Ecosystem
- Sadaf R. Alam, Mark Klein
Software Defined Infrastructure for Operational Numerical Weather Prediction. 303-317 - Megan Grodowitz, Pavel Shamis, Steve Poole:
OpenSHMEM I/O Extensions for Fine-Grained Access to Persistent Memory Storage. 318-333 - Zhen Liang
Distributed Transaction and Self-healing System of DAOS. 334-348 - Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone
Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. 349-365 - Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi:
Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences. 366-380 - Kathlyn Boudwin, Douglas Collins, Cathleen Lavelle, Julia White:
Navigating the Road to Successfully Manage a Large-Scale Research and Development Project: The Exascale Computing Project (ECP) Experience. 381-393 - Jay F. Lofstead
Memory vs. Storage Software and Hardware: The Shifting Landscape. 394-407 - Ron Brightwell, Kurt B. Ferreira, Ryan E. Grant, Scott Levy, Jay F. Lofstead
ALAMO: Autonomous Lightweight Allocation, Management, and Optimization. 408-422
Scientific Data Challenges
- Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. 425-442 - Regan Moreno, Chad A. Steed, Katherine Engstrom, Erik Schmidt:
Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer. 443-450 - Jin Pan:
Probability Flow for Classifying Crystallographic Space Groups. 451-464 - Sajal Dash
Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance. 465-478 - Samantha Inneo, Daniel Wadler, Jack Schneiderhan, Ronald Estevez:
The Macro Impacts of Micro-Climates on the Energy Consumption of Urban Buildings. 479-490 - Clark Hathaway, Sebastian Mobo:
A Framework for Linking Urban Traffic and Vehicle Emissions in Smart Cities. 491-502 - Ao Qu, Yu Wang, Yue Hu, Yanbing Wang
A Data-Integration Analysis on Road Emissions and Traffic Patterns. 503-517 - Alnour Alharin, Yatri Patel
Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment. 518-529 - Joshua Bae, Jonathan Sheng:
Using Statistical Analysis and Computer Vision to Understand Uncertainty in Subsurface Exploration. 530-541 - Misagh Mansouri
The Heavy Lifting Treatment Helper (HeaLTH) Algorithm: Streamlining the Clinical Trial Selection Process. 542-552
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