Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper submission for the symposium CSCI-ISAI: Artificial Intelligence Conference Paper December, 2021
Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems Conference Paper November, 2021
Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer Conference Paper November, 2021
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary... Conference Paper November, 2021
Neural network-based order parameter for phase transitions and its applications in high-entropy alloys Journal October, 2021
Comparative evaluation of deep learning workloads for leadership-class systems Conference Paper October, 2021
Parallel I/O Evaluation Techniques and Emerging HPC Workloads: A Perspective Conference Paper October, 2021
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach ORNL Report September, 2021
