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ORCIDSMC 2020: Oak Ridge, TN, USA
- Jeffrey Nichols
, Becky Verastegui, Arthur Barney Maccabe, Oscar R. Hernandez, Suzanne Parete-Koon, Theresa Ahearn:
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, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann:
Large-Scale Neural Solvers for Partial Differential Equations. 20-34 - Rick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin:
Integrating Deep Learning in Domain Sciences at Exascale. 35-50 - Neil Lindquist, Piotr Luszczek, Jack J. Dongarra:
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, Apurva Mehta, Jana Thayer:
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, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf:
Visualization as a Service for Scientific Data. 157-174 - William F. Godoy, Peter F. Peterson, Steven E. Hahn, John Hetrick, Mathieu Doucet, Jay Jay Billings:
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, Jean-Christophe Bilheux, Hassina Z. Bilheux, Swen Boehm, Jason Kincl, Satyabrata Sen, Neena Imam:
Software Framework for Federated Science Instruments. 189-203 - David J. Durden, Stefan Metzger, Housen Chu, Nathan Collier, Kenneth J. Davis, Ankur R. Desai, Jitendra Kumar, William R. Wieder, Min Xu, Forrest M. Hoffman:
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, Ketan C. Maheshwari, Sean R. Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers:
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, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky:
Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. 269-284 - Jong Choi, Ruonan Wang, Randy Michael Churchill, Ralph Kube, Minjun Choi, Jinseop Park, Jeremy Logan, Kshitij Mehta, Greg Eisenhauer, Norbert Podhorszki, Matthew Wolf, Choong-Seock Chang, Scott Klasky:
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, Mauro Bianco, Roberto Aielli, Xavier Lapillonne, Andre Walser, Thomas C. Schulthess:
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, Yong Fan, Di Wang, Johann Lombardi:
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, Stephen L. Olivier, Kevin T. Pedretti, Andrew J. Younge, Ann C. Gentile, Jim M. Brandt:
ALAMO: Autonomous Lightweight Allocation, Management, and Optimization. 408-422
Scientific Data Challenges
- Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova:
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, Archi Dasgupta:
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, Hiba Baroud:
A Data-Integration Analysis on Road Emissions and Traffic Patterns. 503-517 - Alnour Alharin, Yatri Patel, Thanh-Nam Doan, Mina Sartipi:
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, Jeremiah Roland, Sree Nukala, Jin Cho, Mina Sartipi:
The Heavy Lifting Treatment Helper (HeaLTH) Algorithm: Streamlining the Clinical Trial Selection Process. 542-552
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