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ORCIDSMC 2022: Virtual Event
- Douglas B. Kothe, Al Geist, Swaroop Pophale
, Hong Liu, Suzanne Parete-Koon:
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23-25, 2022, Revised Selected Papers. Communications in Computer and Information Science 1690, Springer 2022, ISBN 978-3-031-23605-1
Foundational Methods Enabling Science in an Integrated Ecosystem
- Andrew E. Blanchard, Pei Zhang, Debsindhu Bhowmik, Kshitij Mehta, John Gounley, Samuel Temple Reeve, Stephan Irle, Massimiliano Lupo Pasini:
Computational Workflow for Accelerated Molecular Design Using Quantum Chemical Simulations and Deep Learning Models. 3-19 - Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin:
Self-learning Data Foundation for Scientific AI. 20-37 - Isha Aggarwal, Pratik Nayak, Aditya Kashi, Hartwig Anzt:
Preconditioners for Batched Iterative Linear Solvers on GPUs. 38-53 - Natnael Tefera, Ayalew Belay Habtie:
Mobility Aware Computation Offloading Model for Edge Computing. 54-71
Science and Engineering Applications Requiring and Motivating an Integrated Ecosystem
- Markus Eisenbach, Mariia Karabin, Massimiliano Lupo Pasini, Junqi Yin:
Machine Learning for First Principles Calculations of Material Properties for Ferromagnetic Materials. 75-86 - Sterling Smith, Emily A. Belli, Orso Meneghini, Reuben D. Budiardja, David Schissel, Jeff Candy, Tom Neiser, Adam Eubanks:
A Vision for Coupling Operation of US Fusion Facilities with HPC Systems and the Implications for Workflows and Data Management. 87-100 - Jack Hirschman, Andrei Kamalov, Razib Obaid, Finn H. O'Shea, Ryan N. Coffee:
At-the-Edge Data Processing for Low Latency High Throughput Machine Learning Algorithms. 101-119 - Ryan Herbst, Ryan N. Coffee, Nathan Fronk, Kukhee Kim, Kuktae Kim, Larry Ruckman, J. J. Russell:
Implementation of a Framework for Deploying AI Inference Engines in FPGAs. 120-134
Systems and Software Advances Enabling an Integrated Science and Engineering Ecosystem
- Gregory R. Watson, Gregory Cage, Jon Fortney, Garrett E. Granroth, Harry Hughes, Thomas Maier, Marshall T. McDonnell, Anibal Ramirez-Cuesta, Robert Smith, Sergey Yakubov, Wenduo Zhou:
Calvera: A Platform for the Interpretation and Analysis of Neutron Scattering Data. 137-154 - Nageswara S. V. Rao, Anees Al-Najjar, Helia Zandi, Ramanan Sankaran, Susan E. Hicks, Kevin Roccapriore, Debangshu Mukherjee:
Virtual Infrastructure Twins: Software Testing Platforms for Computing-Instrument Ecosystems. 155-172 - Christian Engelmann, Olga A. Kuchar, Swen Boehm, Michael J. Brim, Thomas J. Naughton, Suhas Somnath, Scott Atchley, Jack Lange, Ben Mintz, Elke Arenholz:
The INTERSECT Open Federated Architecture for the Laboratory of the Future. 173-190 - Max Rietmann, Praveen Nakshatrala, Jonathan Lefman, Geetika Gupta:
Real-Time Edge Processing During Data Acquisition. 191-205 - Addi Malviya-Thakur, Seth Hitefield, Marshall T. McDonnell, Matthew Wolf, Richard Archibald, Lance Drane, Kevin Roccapriore, Maxim A. Ziatdinov, Jesse McGaha, Robert Smith, John Hetrick, Mark Abraham, Sergey Yakubov, Gregory R. Watson, Ben Chance, Clara Nguyen, Matthew Baker, J. Robert Michael, Elke Arenholz, Ben Mintz:
Towards a Software Development Framework for Interconnected Science Ecosystems. 206-224
Deploying Advanced Technologies for an Integrated Science and Engineering Ecosystem
- Aaron R. Young, Narasinga Rao Miniskar, Frank Liu, Willem Blokland, Jeffrey S. Vetter:
Adrastea: An Efficient FPGA Design Environment for Heterogeneous Scientific Computing and Machine Learning. 227-243 - Junqi Yin, Guannan Zhang, Huibo Cao, Sajal Dash, Bryan C. Chakoumakos, Feiyi Wang:
Toward an Autonomous Workflow for Single Crystal Neutron Diffraction. 244-256 - Andrew Gallo, Ian Claydon, Eric Tucker, Richard Arthur:
Industrial Experience Deploying Heterogeneous Platforms for Use in Multi-modal Power Systems Design Workflows. 257-273 - Dinesh C. Verma, John Overton, Bill Wright, Joshua Purcell, Sathya Santhar, Anindita Das, Mathews Thomas, Sharath Prasad:
Self-describing Digital Assets and Their Applications in an Integrated Science and Engineering Ecosystem. 274-287 - Allan Grosvenor, Anton Zemlyansky, Dwyer Deighan, Dustin Sysko:
Simulation Workflows in Minutes, at Scale for Next-Generation HPC. 288-300
Scientific Data Challenges
- Morgan Gao:
Machine Learning Approaches to High Throughput Phenotyping. 303-316 - Thomas Fillers, John Maddox, Kevin Wang, Trevor Taylor, Reuben D. Budiardja, Verónica G. Melesse Vergara:
SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2. 317-328 - Brett Eiffert, Chen Zhang:
Usage Pattern Analysis for the Summit Login Nodes. 329-344 - Tianle Wang, Bigeng Wang, Elisha Siddiqui Matekole, Mohammad Atif:
Finding Hidden Patterns in High Resolution Wind Flow Model Simulations. 345-365 - Eyrin Kim:
Investigating Relationships in Environmental and Community Health: Correlations of Environment, Urban Morphology, and Socio-economic Factors in the Los Angeles Metropolitan Statistical Area. 366-383 - Abigail R. Wheelis, Levi T. Sweet-Breu, Melissa R. Allen-Dumas:
Patterns and Predictions: Generative Adversarial Networks for Neighborhood Generation. 384-397
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