Abstract is missing.
- Randomized Multilevel Monte Carlo for Embarrassingly Parallel InferenceAjay Jasra, Kody J. H. Law, Alexander Tarakanov, Fangyuan Yu. 3-21 [doi]
- Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy CompressionQian Gong, Xin Liang 0001, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky. 22-39 [doi]
- Applying Recent Machine Learning Approaches to Accelerate the Algebraic Multigrid Method for Fluid SimulationsThorben Louw, Simon McIntosh-Smith. 40-57 [doi]
- Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific DiscoverySuhas Somnath, Rama K. Vasudevan, Stephen Jesse, Sergei V. Kalinin, Nageswara S. V. Rao, Christopher Brumgard, Feiyi Wang, Olga Kuchar, Arjun Shankar, Ben Mintz, Elke Arenholz, J. Robert Michael, Sarp Oral. 58-75 [doi]
- Fast and Accurate Predictions of Total Energy for Solid Solution Alloys with Graph Convolutional Neural NetworksMassimiliano Lupo Pasini, Marko Burcul, Samuel Temple Reeve, Markus Eisenbach 0002, Simona Perotto. 79-98 [doi]
- Transitioning from File-Based HPC Workflows to Streaming Data Pipelines with openPMD and ADIOS2Franz Poeschel, Juncheng E, William F. Godoy, Norbert Podhorszki, Scott Klasky, Greg Eisenhauer, Philip E. Davis, Lipeng Wan, Ana Gainaru, Junmin Gu, Fabian Koller, René Widera, Michael Bussmann, Axel Huebl. 99-118 [doi]
- Understanding and Leveraging the I/O Patterns of Emerging Machine Learning AnalyticsAna Gainaru, Dmitry Ganyushin, Bing Xie, Tahsin M. Kurç, Joel H. Saltz, Sarp Oral, Norbert Podhorszki, Franz Poeschel, Axel Huebl, Scott Klasky. 119-138 [doi]
- Secure Collaborative Environment for Seamless Sharing of Scientific KnowledgeSrikanth B. Yoginath, Mathieu Doucet, Debsindhu Bhowmik, David Heise, Folami Alamudun, Hong-Jun Yoon, Christopher Stanley. 139-156 [doi]
- The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 PandemicSreenivas R. Sukumar, Jacob A. Balma, Christopher D. Rickett, Kristyn J. Maschhoff, Joseph Landman, Charles R. Yates, Amar G. Chittiboyina, Yuri K. Peterson, Aaron Vose, Kendall G. Byler, Jérôme Baudry, Ikhlas A. Khan. 157-172 [doi]
- High-Performance Ptychographic Reconstruction with Federated FacilitiesTekin Bicer, Xiaodong Yu, Daniel J. Ching, Ryan Chard, Mathew J. Cherukara, Bogdan Nicolae, Rajkumar Kettimuthu, Ian T. Foster. 173-189 [doi]
- Machine-Learning Accelerated Studies of Materials with High Performance and Edge ComputingYing Wai Li, Peter W. Doak, Giovanni Balduzzi, Wael R. Elwasif, Eduardo F. D'Azevedo, Thomas A. Maier. 190-205 [doi]
- A Hardware Co-design Workflow for Scientific Instruments at the EdgeKazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer, Maksim Levental, Mike Hammer, Antonino Miceli. 209-226 [doi]
- NREL Stratus - Enabling Workflows to Fuse Data Streams, Modeling, Simulation, and Machine LearningDavid Rager, Aaron Andersen. 227-246 [doi]
- Braid-DB: Toward AI-Driven Science with Machine Learning ProvenanceJustin M. Wozniak, Zhengchun Liu, Rafael Vescovi, Ryan Chard, Bogdan Nicolae, Ian T. Foster. 247-261 [doi]
- Lessons Learned on the Interface Between Quantum and Conventional NetworkingMuneer Alshowkan, Nageswara S. V. Rao, Joseph C. Chapman, Brian P. Williams, Philip G. Evans, Raphael C. Pooser, Joseph M. Lukens, Nicholas A. Peters. 262-279 [doi]
- Use It or Lose It: Cheap Compute EverywhereTaylor Groves, Damian Hazen, Glenn K. Lockwood, Nicholas J. Wright. 280-298 [doi]
- Enabling ISO Standard Languages for Complex HPC WorkflowsM. Graham Lopez, Jeff R. Hammond, Jack C. Wells, Tom Gibbs, Timothy B. Costa. 301-309 [doi]
- Towards Standard Kubernetes Scheduling Interfaces for Converged ComputingClaudia Misale, Daniel J. Milroy, Carlos Eduardo Arango Gutierrez, Maurizio Drocco, Stephen Herbein, Dong H. Ahn, Zvonko Kaiser, Yoonho Park. 310-326 [doi]
- Scaling SQL to the Supercomputer for Interactive Analysis of Simulation DataJens Glaser, Felipe Aramburú, William Malpica, Benjamín Hernández, Matthew B. Baker, Rodrigo Aramburú. 327-339 [doi]
- NVIDIA's Cloud Native SupercomputingGilad Shainer, Richard L. Graham, Chris J. Newburn, Oscar R. Hernandez, Gil Bloch, Tom Gibbs, Jack C. Wells. 340-357 [doi]
- Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge ComputingPravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa. 361-382 [doi]
- Advanced Image Reconstruction for MCP Detector in Event ModeChen Zhang, Zachary Morgan. 383-397 [doi]
- An Study on the Resource Utilization and User Behavior on Titan SupercomputerSergio Iserte. 398-410 [doi]
- Recurrent Multi-task Graph Convolutional Networks for COVID-19 Knowledge Graph Link PredictionRemington Kim, Yue Ning. 411-419 [doi]
- Reconstructing Piezoelectric Responses over a Lattice: Adaptive Sampling of Low Dimensional Time Series Representations Based on Relative Isolation and Gradient SizeMichael R. Lindstrom, William J. Swartworth, Deanna Needell. 420-429 [doi]
- Finding Novel Links in COVID-19 Knowledge Graph Using Graph Embedding TechniquesAnkit Patel, Saeel Shrivallabh Pai, Haresh Rengaraj Rajamohan, Manohar Bongarala, Rajanala Samyak. 430-441 [doi]
- Exploring the Spatial Relationship Between Demographic Indicators and the Built Environment of a CityRidhima Singh, Melissa R. Allen-Dumas. 442-454 [doi]
- Atomic Defect Identification with Sparse Sampling and Deep LearningMichael C. Cao, Jonathan Schwartz, Huihuo Zheng, Yi Jiang, Robert Hovden, Yimo Han. 455-463 [doi]