Stable Parallel Training of Wasserstein Conditional Generative Adversarial Neural Networks : *Full/Regular Research Paper sub... Conference Paper December, 2021
Characterizing Machine Learning I/O Workloads on Leadership Scale HPC Systems... Conference Paper November, 2021
Mitigating Catastrophic Forgetting in Deep Learning in a Streaming Setting Using Historical Summary Conference Paper November, 2021
Revealing power, energy and thermal dynamics of a 200PF pre-exascale supercomputer... 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
The Challenge of Disproportionate Importance of Temporal Features in Predicting HPC Power Consumption... Conference Paper September, 2021