SCTuner: An Auto-tuner Addressing Dynamic I/O Needs on Supercomputer I/O Subsystems Conference Paper November, 2021
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function Conference Paper November, 2021
I/O Bottleneck Detection and Tuning: Connecting the Dots using Interactive Log Analysis Conference Paper November, 2021
Virtual Framework for Development and Testing of Federation Software Stack Conference Paper October, 2021
Comparative evaluation of deep learning workloads for leadership-class systems Conference Paper October, 2021
WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows Conference Paper October, 2021
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement Conference Paper August, 2021