Lei Huang - RankMe

26 papers A 4B 1C 2Journal 10Unranked 9

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia A. 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
2023	A	`conf`	Fine-grained Policy-driven I/O Sharing for Burst Buffers. SC Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang
2023	J	`jnl`	Fine-grained Policy-driven I/O Sharing for Burst Buffers. CoRR Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William D. Gropp, Zhao Zhang
2022	J	`jnl`	Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang
2022	J	`jnl`	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. Int. J. High Perform. Comput. Appl. 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
2021	J	`jnl`	AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. Int. J. High Perform. Comput. Appl. 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
2021	—	`conf`	Best practice of IO workload management in containerized environments on supercomputers. PEARC Lei Huang, Yinzhi Wang, Chun-Yaung Lu, Si Liu
2021	J	`jnl`	KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2021	A	`conf`	KAISA: an adaptive second-order optimizer framework for deep neural networks. SC J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2021	C	`conf`	Optimizing GPU-Enhanced HPC System and Cloud Procurements for Scientific Workloads. ISC Richard Todd Evans, Matthew Cawood, Stephen Lien Harrell, Lei Huang, Si Liu, Chun-Yaung Lu, Amit Ruhela, Yinzhi Wang, Zhao Zhang
2021	—	`conf`	Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers. PEARC Si Liu, Lei Huang, Hang Liu, Amit Ruhela, Virginia Trueheart, Susan Lindsey, Quan Yuan
2021	J	`jnl`	Preparing Frontera for Texascale Days. Comput. Sci. Eng. John Cazes, Richard Todd Evans, Aaron Dubrow, Lei Huang, Si Liu, Robert T. McLay
2020	J	`jnl`	Convolutional Neural Network Training with Distributed K-FAC. CoRR J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
2020	A	`conf`	Convolutional neural network training with distributed K-FAC. SC J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster
2020	A	`conf`	Efficient I/O for Neural Network Training with Compressed Data. IPDPS Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster
2020	B	`conf`	OOOPS: An Innovative Tool for IO Workload Management on Supercomputers. ICPADS Lei Huang, Si Liu
2019	—	`conf`	Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster
2019	—	`conf`	Performant Container Support for HPC Applications. PEARC Yinzhi Wang, R. Todd Evans, Lei Huang
2019	C	`conf`	Quantifying the Impact of Memory Errors in Deep Learning. CLUSTER Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz
2019	—	`conf`	Tools for Monitoring CPU Usage and Affinity in Multicore Supercomputers. HUST/SE-HER/WIHPC@SC Lei Huang, Kent F. Milfeld, Si Liu
2018	J	`jnl`	FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. CoRR Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney
2017	—	`conf`	Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. IEEE BigData Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, Natalia Ruiz-Juri
2017	—	`conf`	Performance Prediction of HPC Applications on Intel Processors. IPDPS Workshops Carlos Rosales, Antonio Gómez-Iglesias, Si Liu, Feng Chen, Lei Huang, Hang Liu, Antia Lamas-Linares, John Cazes
2016	—	`conf`	A Comparative Study of Application Performance and Scalability on the Intel Knights Landing Processor. ISC Workshops Carlos Rosales, John Cazes, Kent F. Milfeld, Antonio Gómez-Iglesias, Lars Koesterke, Lei Huang, Jérôme Vienne
2015	—	`conf`	Performance examinations of multiple time-stepping algorithms on stampede supercomputer. XSEDE Na Zhang, Peng Zhang, Li Zhang, Xiao Zhu, Lei Huang, Yuefan Deng
2014	J	`jnl`	Generalized scalable multiple copy algorithms for molecular dynamics simulations in NAMD. Comput. Phys. Commun. Wei Jiang, James C. Phillips, Lei Huang, Mikolai Fajer, Yilin Meng, James C. Gumbart, Yun Luo, Klaus Schulten, Benoît Roux