Generalized scalable multiple copy algorithms for molecular dynamics simulations in NAMD. - Wei Jiang; James C. Phillips; Lei Huang 019; Mikolai Fajer; Yilin Meng; James C. Gumbart; Yun Luo; Klaus Schulten; Benoît Roux (Comput. Phys. Commun., 2014)

Performance examinations of multiple time-stepping algorithms on stampede supercomputer. - Na Zhang; Peng Zhang 006; Li Zhang; Xiao Zhu 002; Lei Huang 019; Yuefan Deng (XSEDE, 2015)

A Comparative Study of Application Performance and Scalability on the Intel Knights Landing Processor. - Carlos Rosales; John Cazes; Kent F. Milfeld; Antonio Gómez-Iglesias; Lars Koesterke; Lei Huang 019; Jérôme Vienne (ISC Workshops, 2016)

Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. - Lei Huang 019; Weijia Xu; Si Liu; Venktesh Pandey; Natalia Ruiz-Juri (IEEE BigData, 2017)

Performance Prediction of HPC Applications on Intel Processors. - Carlos Rosales; Antonio Gómez-Iglesias; Si Liu; Feng Chen; Lei Huang 019; Hang Liu; Antia Lamas-Linares; John Cazes (IPDPS Workshops, 2017)

FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. - Zhao Zhang 007; Lei Huang 019; Uri Manor; Linjing Fang; Gabriele Merlo; Craig Michoski; John Cazes; Niall Gaffney (CoRR, 2018)

Quantifying the Impact of Memory Errors in Deep Learning. - Zhao Zhang 007; Lei Huang 019; Ruizhu Huang; Weijia Xu; Daniel S. Katz (CLUSTER, 2019)

Aggregating Local Storage for Scalable Deep Learning I/O. - Zhao Zhang 007; Lei Huang 019; J. Gregory Pauloski; Ian T. Foster (DLS@SC, 2019)

Tools for Monitoring CPU Usage and Affinity in Multicore Supercomputers. - Lei Huang 019; Kent F. Milfeld; Si Liu (HUST/SE-HER/WIHPC@SC, 2019)

Performant Container Support for HPC Applications. - Yinzhi Wang; R. Todd Evans; Lei Huang 019 (PEARC, 2019)

OOOPS: An Innovative Tool for IO Workload Management on Supercomputers. - Lei Huang 019; Si Liu (ICPADS, 2020)

Efficient I/O for Neural Network Training with Compressed Data. - Zhao Zhang 007; Lei Huang 019; J. Gregory Pauloski; Ian T. Foster (IPDPS, 2020)

Convolutional neural network training with distributed K-FAC. - J. Gregory Pauloski; Zhao Zhang 007; Lei Huang 019; Weijia Xu; Ian T. Foster (SC, 2020)

KAISA: an adaptive second-order optimizer framework for deep neural networks. - J. Gregory Pauloski; Qi Huang; Lei Huang 019; Shivaram Venkataraman; Kyle Chard; Ian T. Foster; Zhao Zhang 007 (SC, 2021)

Optimizing GPU-Enhanced HPC System and Cloud Procurements for Scientific Workloads. - Richard Todd Evans; Matthew Cawood; Stephen Lien Harrell; Lei Huang 019; Si Liu; Chun-Yaung Lu; Amit Ruhela; Yinzhi Wang; Zhao Zhang 007 (ISC, 2021)

Best practice of IO workload management in containerized environments on supercomputers. - Lei Huang 019; Yinzhi Wang; Chun-Yaung Lu; Si Liu (PEARC, 2021)

Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers. - Si Liu; Lei Huang 019; Hang Liu; Amit Ruhela; Virginia Trueheart; Susan Lindsey; Quan Yuan (PEARC, 2021)

Preparing Frontera for Texascale Days. - John Cazes; Richard Todd Evans; Aaron Dubrow; Lei Huang 019; Si Liu; Robert T. McLay (Comput. Sci. Eng., 2021)

AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. - Lorenzo Casalino; Abigail C. Dommer; Zied Gaieb; Emília P. Barros; Terra Sztain; Surl-Hee Ahn; Anda Trifan; Alexander Brace; Anthony T. Bogetti; Austin Clyde; Heng Ma; Hyungro Lee; et al. (Int. J. High Perform. Comput. Appl., 2021)

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action. - Anda Trifan; Defne Gorgun; Michael Salim; Zongyi Li; Alexander Brace; Maxim Zvyagin; Heng Ma; Austin Clyde; David Clark; David J. Hardy; Tom Burnley; Lei Huang 019; et al. (Int. J. High Perform. Comput. Appl., 2022)

Deep Neural Network Training With Distributed K-FAC. - J. Gregory Pauloski; Lei Huang 019; Weijia Xu; Kyle Chard; Ian T. Foster; Zhao Zhang 007 (IEEE Trans. Parallel Distributed Syst., 2022)

Fine-grained Policy-driven I/O Sharing for Burst Buffers. - Ed Karrels; Lei Huang 019; Yuhong Kan; Ishank Arora; Yinzhi Wang; Daniel S. Katz; William Gropp; Zhao Zhang 007 (SC, 2023)

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. - Abigail C. Dommer; Lorenzo Casalino; Fiona L. Kearns; Mia A. Rosenfeld; Nicholas Wauer; Surl-Hee Ahn; John Russo 003; A. Sofia F. Oliveira; Clare Morris; Anthony T. Bogetti; Anda Trifan; Alexander Brace; et al. (Int. J. High Perform. Comput. Appl., 2023)