High Performance Adaptive Physics Refinement to Enable Large-Scale Tracking of Cancer Cell Trajectory... Conference Paper October, 2022
Hvac: Removing I/O Bottleneck for Large-Scale Deep Learning Applications Conference Paper September, 2022
Stable parallel training of Wasserstein conditional generative adversarial neural networks... Journal August, 2022
Efficient Memory Storage and Linear Parallel Scaling for Large-Scale Electron Ptychography... Conference Paper July, 2022
Hypothesis-Agnostic Network-Based Analysis of Real-World Data Suggests Ondansetron is Associated with Lower COVID-19 Any Caus... Journal July, 2022
Access Patterns and Performance Behaviors of Multi-layer Supercomputer I/O Subsystems under Production Load... Conference Paper June, 2022
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems... Conference Paper June, 2022
Strategies for Integrating Deep Learning Surrogate Models with HPC Simulation Applications... Conference Paper May, 2022
A Scalable Pipeline for Gigapixel Whole Slide Imaging Analysis on Leadership Class HPC Systems... Conference Paper May, 2022
Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer... Conference Paper May, 2022