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
WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows Conference Paper October, 2021
Comparative evaluation of deep learning workloads for leadership-class systems Conference Paper October, 2021
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement Conference Paper August, 2021
