Table of Contents

• Improving Seismic Wave Simulation and Inversion Using Deep LearningLei Huang, Edward Clee, Nishath Rajiv Ranasinghe. 3-19 [doi]
• Large-Scale Neural Solvers for Partial Differential EquationsPatrick Stiller, Friedrich Bethke, Maximilian Böhme, Richard Pausch, Sunna Torge 0001, Alexander Debus, Jan Vorberger, Michael Bussmann, Nico Hoffmann. 20-34 [doi]
• Integrating Deep Learning in Domain Sciences at ExascaleRick Archibald, Edmond Chow, Eduardo F. D'Azevedo, Jack J. Dongarra, Markus Eisenbach 0002, Rocco Febbo, Florent Lopez, Daniel Nichols, Stanimire Tomov, Kwai Wong, Junqi Yin. 35-50 [doi]
• Improving the Performance of the GMRES Method Using Mixed-Precision TechniquesNeil Lindquist, Piotr Luszczek, Jack J. Dongarra. 51-66 [doi]
• On the Use of BLAS Libraries in Modern Scientific Codes at ScaleHarry Waugh, Simon McIntosh-Smith. 67-79 [doi]
• A Systemic Approach to Facilitating Reproducibility via Federated, End-to-End Data ManagementDale Stansberry, Suhas Somnath, Gregory Shutt, Mallikarjun Shankar. 83-98 [doi]
• Fulfilling the Promises of Lossy Compression for Scientific ApplicationsFranck Cappello, Sheng Di, Ali Murat Gok. 99-116 [doi]
• DataStates: Towards Lightweight Data Models for Deep LearningBogdan Nicolae. 117-129 [doi]
• Scalable Data-Intensive Geocomputation: A Design for Real-Time Continental Flood Inundation MappingYan Y. Liu, Jibonananda Sanyal. 130-144 [doi]
• Enabling Scientific Discovery at Next-Generation Light Sources with Advanced AI and HPCNicholas Schwarz, Stuart Campbell, Alexander Hexemer, Apurva Mehta, Jana Thayer. 145-156 [doi]
• Visualization as a Service for Scientific DataDavid Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang 0001, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf. 157-174 [doi]
• Performance Improvements on SNS and HFIR Instrument Data Reduction Workflows Using MantidWilliam F. Godoy, Peter F. Peterson, Steven E. Hahn, John Hetrick, Mathieu Doucet, Jay Jay Billings. 175-186 [doi]
• Software Framework for Federated Science InstrumentsThomas J. Naughton, Seth Hitefield, Lawrence Sorrillo, Nageswara S. V. Rao, James Kohl, Wael R. Elwasif, Jean-Christophe Bilheux, Hassina Bilheux, Swen Boehm, Jason Kincl, Satyabrata Sen, Neena Imam. 189-203 [doi]
• Automated Integration of Continental-Scale Observations in Near-Real Time for Simulation and Analysis of Biosphere-Atmosphere InteractionsDavid J. Durden, Stefan Metzger, Housen Chu, Nathan Collier, Kenneth J. Davis, Ankur R. Desai, Jitendra Kumar 0001, William R. Wieder, Min Xu, Forrest M. Hoffman. 204-225 [doi]
• Toward Real-Time Analysis of Synchrotron Micro-Tomography Data: Accelerating Experimental Workflows with AI and HPCJames E. McClure, Junqi Yin, Ryan T. Armstrong, Ketan C. Maheshwari, Sean Wilkinson, Lucas Vlcek, Ying Da Wang, Mark A. Berrill, Mark Rivers. 226-239 [doi]
• Unsupervised Anomaly Detection in Daily WAN Traffic PatternsScott Campbell, Mariam Kiran, Fatema Bannat Wala. 240-256 [doi]
• From Smart Homes to Smart Laboratories: Connected Instruments for Materials ScienceMathieu Doucet. 257-268 [doi]
• Machine Learning for the Complex, Multi-scale Datasets in Fusion EnergyRandy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky. 269-284 [doi]
• Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data ProcessingJong 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. 285-299 [doi]
• Software Defined Infrastructure for Operational Numerical Weather PredictionSadaf R. Alam, Mark Klein, Mauro Bianco, Roberto Aielli, Xavier Lapillonne, Andre Walser, Thomas C. Schulthess. 303-317 [doi]
• OpenSHMEM I/O Extensions for Fine-Grained Access to Persistent Memory StorageMegan Grodowitz, Pavel Shamis, Steve Poole. 318-333 [doi]
• Distributed Transaction and Self-healing System of DAOSZhen Liang, Yong Fan, Di Wang, Johann Lombardi. 334-348 [doi]
• Truly Heterogeneous HPC: Co-design to Achieve What Science Needs from HPCSuma George Cardwell, Craig M. Vineyard, William Severa, Frances S. Chance, Frederick H. Rothganger, Felix Wang, Srideep Musuvathy, Corinne Teeter, James B. Aimone. 349-365 [doi]
• Performance Evaluation of Python Based Data Analytics Frameworks in Summit: Early ExperiencesBenjamín Hernández, Suhas Somnath, Junqi Yin, Hao Lu, Joe Eaton, Peter Entschev, John Kirkham, Zahra Ronaghi. 366-380 [doi]
• Navigating the Road to Successfully Manage a Large-Scale Research and Development Project: The Exascale Computing Project (ECP) ExperienceKathlyn Boudwin, Douglas Collins, Cathleen Lavelle, Julia White. 381-393 [doi]
• Memory vs. Storage Software and Hardware: The Shifting LandscapeJay F. Lofstead. 394-407 [doi]
• ALAMO: Autonomous Lightweight Allocation, Management, and OptimizationRon 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. 408-422 [doi]
• 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 InformaticsSuzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa Allen-Dumas, Srinath Ravulaparthy, Kuldeep Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova. 425-442 [doi]
• Examining and Presenting Cycles in Temperature Logs from the Vulcan DiffractometerRegan Moreno, Chad Steed, Katherine Engstrom, Erik Schmidt. 443-450 [doi]
• Probability Flow for Classifying Crystallographic Space GroupsJin Pan. 451-464 [doi]
• Towards a Universal Classifier for Crystallographic Space Groups: A Trickle-Down Approach to Handle Data ImbalanceSajal Dash, Archi Dasgupta. 465-478 [doi]
• The Macro Impacts of Micro-Climates on the Energy Consumption of Urban BuildingsSamantha Inneo, Daniel Wadler, Jack Schneiderhan, Ronald Estevez. 479-490 [doi]
• A Framework for Linking Urban Traffic and Vehicle Emissions in Smart CitiesClark Hathaway, Sebastian Mobo. 491-502 [doi]
• A Data-Integration Analysis on Road Emissions and Traffic PatternsAo Qu, Yu Wang, Yue Hu, Yanbing Wang, Hiba Baroud. 503-517 [doi]
• Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings AssignmentAlnour Alharin, Yatri Patel, Thanh-Nam Doan, Mina Sartipi. 518-529 [doi]
• Using Statistical Analysis and Computer Vision to Understand Uncertainty in Subsurface ExplorationJoshua Bae, Jonathan Sheng. 530-541 [doi]
• The Heavy Lifting Treatment Helper (HeaLTH) Algorithm: Streamlining the Clinical Trial Selection ProcessMisagh Mansouri, Jeremiah Roland, Sree Nukala, Jin Cho, Mina Sartipi. 542-552 [doi]