Lei Huang

According to our database, Lei Huang authored at least 23 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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 Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2023

Fine-grained Policy-driven I/O Sharing for Burst Buffers.

Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang

Proceedings of the International Conference for High Performance Computing, 2023

2022

Deep Neural Network Training With Distributed K-FAC.

J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang

IEEE Trans. Parallel Distributed Syst., 2022

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, John D. McCalpin, Murali Emani, Hyenseung Yoo, Junqi Yin, Aristeidis Tsaris, Vishal Subbiah, Tanveer Raza, Jessica Liu, Noah Trebesch, Geoffrey Wells, Venkatesh Mysore, Tom Gibbs, James C. Phillips, S. Chakra Chennubhotla, Ian T. Foster, Rick Stevens, Anima Anandkumar, Venkatram Vishwanath, John E. Stone, Emad Tajkhorshid, Sarah A. Harris, Arvind Ramanathan

Int. J. High Perform. Comput. Appl., 2022

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, Matteo Turilli, Syma Khalid, Lillian T. Chong, Carlos Simmerling, David J. Hardy, Julio D. C. Maia, James C. Phillips, Thorsten Kurth, Abraham C. Stern, Lei Huang, John D. McCalpin, Mahidhar Tatineni, Tom Gibbs, John E. Stone, Shantenu Jha, Arvind Ramanathan, Rommie E. Amaro

Int. J. High Perform. Comput. Appl., 2021

Preparing Frontera for Texascale Days.

John Cazes, Richard Todd Evans, Aaron Dubrow, Lei Huang, Si Liu, Robert T. McLay

Comput. Sci. Eng., 2021

Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers.

Si Liu, Lei Huang, Hang Liu, Amit Ruhela, Virginia Trueheart, Susan Lindsey, Quan Yuan

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Best practice of IO workload management in containerized environments on supercomputers.

Lei Huang, Yinzhi Wang, Chun-Yaung Lu, Si Liu

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

Optimizing GPU-Enhanced HPC System and Cloud Procurements for Scientific Workloads.

Richard Todd Evans, Matthew Cawood, Stephen Lien Harrell, Lei Huang, Si Liu, Chun-Yaung Lu, Amit Ruhela, Yinzhi Wang, Zhao Zhang

Proceedings of the High Performance Computing - 36th International Conference, 2021

KAISA: an adaptive second-order optimizer framework for deep neural networks.

J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang

Proceedings of the International Conference for High Performance Computing, 2021

2020

Convolutional neural network training with distributed K-FAC.

J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster

Proceedings of the International Conference for High Performance Computing, 2020

Efficient I/O for Neural Network Training with Compressed Data.

Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

OOOPS: An Innovative Tool for IO Workload Management on Supercomputers.

Lei Huang, Si Liu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

Performant Container Support for HPC Applications.

Yinzhi Wang, R. Todd Evans, Lei Huang

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Tools for Monitoring CPU Usage and Affinity in Multicore Supercomputers.

Lei Huang, Kent F. Milfeld, Si Liu

Proceedings of the Tools and Techniques for High Performance Computing, 2019

Aggregating Local Storage for Scalable Deep Learning I/O.

Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Quantifying the Impact of Memory Errors in Deep Learning.

Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning.

Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney

CoRR, 2018

2017

Performance Prediction of HPC Applications on Intel Processors.

Carlos Rosales, Antonio Gómez-Iglesias, Si Liu, Feng Chen, Lei Huang, Hang Liu, Antia Lamas-Linares, John Cazes

Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL.

Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, Natalia Ruiz-Juri

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

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, Jérôme Vienne

Proceedings of the High Performance Computing, 2016

2015

Performance examinations of multiple time-stepping algorithms on stampede supercomputer.

Na Zhang, Peng Zhang, Li Zhang, Xiao Zhu, Lei Huang, Yuefan Deng

Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure, St. Louis, MO, USA, July 26, 2015

2014

Generalized scalable multiple copy algorithms for molecular dynamics simulations in NAMD.

Wei Jiang, James C. Phillips, Lei Huang, Mikolai Fajer, Yilin Meng, James C. Gumbart, Yun Luo, Klaus Schulten, Benoît Roux

Comput. Phys. Commun., 2014