Abstract is missing.
- Highly-Ccalable, Physics-Informed GANs for Learning Solutions of Stochastic PDEsLiu Yang, Prabhat, George E. Karniadakis, Sean Treichler, Thorsten Kurth, Keno Fischer, David A. Barajas-Solano, Joshua Romero, Valentin Churavy, Alexandre M. Tartakovsky, Michael Houston. 1-11 [doi]
- DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein FoldingHyungro Lee, Matteo Turilli, Shantenu Jha, Debsindhu Bhowmik, Heng Ma, Arvind Ramanathan. 12-19 [doi]
- Deep Learning Accelerated Light Source ExperimentsZhengchun Liu, Tekin Bicer, Rajkumar Kettimuthu, Ian T. Foster. 20-28 [doi]
- Deep Learning for Gap Crossing Ability of Ground VehiclesBenjamin Parsons, Jing-Ru Cheng. 29-35 [doi]
- Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on SummitMark Coletti, Dalton Lunga, Jeffrey K. Bassett, Amy N. Rose. 36-44 [doi]
- Deep Facial Recognition using TensorflowChris A. Mattmann, Zhao Zhang. 45-51 [doi]
- Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain MappingWushi Dong, Nicola J. Ferrier, Narayanan Kasthuri, Peter Littlewood, Murat Keceli, Rafael Vescovi, Hanyu Li, Corey Adams, Elise Jennings, Samuel Flender, Thomas D. Uram, Venkatram Vishwanath. 52-61 [doi]
- DC-S3GD: Delay-Compensated Stale-Synchronous SGD for Large-Scale Decentralized Neural Network TrainingAlessandro Rigazzi. 62-68 [doi]
- Aggregating Local Storage for Scalable Deep Learning I/OZhao Zhang 0007, Lei Huang, J. Gregory Pauloski, Ian T. Foster. 69-75 [doi]
- Scaling TensorFlow, PyTorch, and MXNet using MVAPICH2 for High-Performance Deep Learning on FronteraArpan Jain, Ammar Ahmad Awan, Hari Subramoni, Dhabaleswar K. Panda. 76-83 [doi]
- Strategies to Deploy and Scale Deep Learning on the Summit SupercomputerJunqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar. 84-94 [doi]