| 2020 | A Data-Integration Analysis on Road Emissions and Traffic Patterns. Ao Qu, Yu Wang, Yue Hu, Yanbing Wang, Hiba Baroud |
| 2020 | A Framework for Linking Urban Traffic and Vehicle Emissions in Smart Cities. Clark Hathaway, Sebastian Mobo |
| 2020 | A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data Management. Dale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar |
| 2020 | ALAMO: Autonomous Lightweight Allocation, Management, and Optimization. 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 |
| 2020 | Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere Interactions. 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 |
| 2020 | Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment. Alnour Alharin, Yatri Patel, Thanh-Nam Doan, Mina Sartipi |
| 2020 | Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. 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 |
| 2020 | DataStates: Towards Lightweight Data Models for Deep Learning. Bogdan Nicolae |
| 2020 | Distributed Transaction and Self-healing System of DAOS. Zhen Liang, Yong Fan, Di Wang, Johann Lombardi |
| 2020 | 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 Jeffrey Nichols, Becky Verastegui, Arthur Barney Maccabe, Oscar R. Hernandez, Suzanne Parete-Koon, Theresa Ahearn |
| 2020 | Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPC. Nicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer |
| 2020 | Examining and Presenting Cycles in Temperature Logs from the Vulcan Diffractometer. Regan Moreno, Chad A. Steed, Katherine Engstrom, Erik Schmidt |
| 2020 | From Smart Homes to Smart Laboratories: Connected Instruments for Materials Science. Mathieu Doucet |
| 2020 | Fulfilling the Promises of Lossy Compression for Scientific Applications. Franck Cappello, Sheng Di, Ali Murat Gok |
| 2020 | Improving Seismic Wave Simulation and Inversion Using Deep Learning. Lei Huang, Edward Clee, Nishath Rajiv Ranasinghe |
| 2020 | Improving the Performance of the GMRES Method Using Mixed-Precision Techniques. Neil Lindquist, Piotr Luszczek, Jack J. Dongarra |
| 2020 | Integrating Deep Learning in Domain Sciences at Exascale. 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 |
| 2020 | Large-Scale Neural Solvers for Partial Differential Equations. Patrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann |
| 2020 | Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. Randy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky |
| 2020 | Memory vs. Storage Software and Hardware: The Shifting Landscape. Jay F. Lofstead |
| 2020 | Navigating the Road to Successfully Manage a Large-Scale Research and Development Project: The Exascale Computing Project (ECP) Experience. Kathlyn Boudwin, Douglas Collins, Cathleen Lavelle, Julia White |
| 2020 | On the Use of BLAS Libraries in Modern Scientific Codes at Scale. Harry Waugh, Simon McIntosh-Smith |
| 2020 | OpenSHMEM I/O Extensions for Fine-Grained Access to Persistent Memory Storage. Megan Grodowitz, Pavel Shamis, Steve Poole |
| 2020 | Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early Experiences. Benjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi |
| 2020 | Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using Mantid. William F. Godoy, Peter F. Peterson, Steven E. Hahn, John Hetrick, Mathieu Doucet, Jay Jay Billings |
| 2020 | Probability Flow for Classifying Crystallographic Space Groups. Jin Pan |
| 2020 | Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation Mapping. Yan Y. Liu, Jibonananda Sanyal |
| 2020 | 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. 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 |
| 2020 | Software Defined Infrastructure for Operational Numerical Weather Prediction. Sadaf R. Alam, Mark Klein, Mauro Bianco, Roberto Aielli, Xavier Lapillonne, Andre Walser, Thomas C. Schulthess |
| 2020 | Software Framework for Federated Science Instruments. 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 |
| 2020 | The Heavy Lifting Treatment Helper (HeaLTH) Algorithm: Streamlining the Clinical Trial Selection Process. Misagh Mansouri, Jeremiah Roland, Sree Nukala, Jin Cho, Mina Sartipi |
| 2020 | The Macro Impacts of Micro-Climates on the Energy Consumption of Urban Buildings. Samantha Inneo, Daniel Wadler, Jack Schneiderhan, Ronald Estevez |
| 2020 | Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPC. James E. McClure, Junqi Yin, Ryan T. Armstrong, Ketan C. Maheshwari, Sean R. Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers |
| 2020 | Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data Imbalance. Sajal Dash, Archi Dasgupta |
| 2020 | Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPC. Suma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Fredrick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone |
| 2020 | Unsupervised Anomaly Detection in Daily WAN Traffic Patterns. Scott Campbell, Mariam Kiran, Fatema Bannat Wala |
| 2020 | Using Statistical Analysis and Computer Vision to Understand Uncertainty in Subsurface Exploration. Joshua Bae, Jonathan Sheng |
| 2020 | Visualization as a Service for Scientific Data. 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 |