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ORCIDLei Huang 0019
Person information
- affiliation: University of Texas at Austin, Texas Advanced Computing Center, Austin, TX, USA
- affiliation: University of Chicago, Department of Biochemistry and Molecular Biology, Gordon Center for Integrative Science, Chicago, IL, USA
Other persons with the same name
- Lei Huang — disambiguation page
- Lei Huang 0001
![[0000-0002-2024-1130]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-2024-1130")
— Shenzhen University, College of Information Engineering, China (and 5 more) - Lei Huang 0002 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Lei Huang 0003 — Brookhaven National Laboratory, Upton, NY, USA
- Lei Huang 0004 — Nanjing University, State Key Laboratory for Novel Software Technology, China
- Lei Huang 0005 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, MOE, China
- Lei Huang 0006 — University of Houston, Department of Computer Sciences, TX, USA
- Lei Huang 0007 — Huawei Technologies Co., Ltd., Shanghai, China (and 2 more)
- Lei Huang 0008 — Nanjing Forestry University, School of Mechanical and Electronic Engineering, China (and 1 more)
- Lei Huang 0009 — Southwest Jiaotong University, School of Mathematics, Chengdu, China
- Lei Huang 0010 — Ocean University of China, College of Information Science and Engineering, Qingdao, China
- Lei Huang 0011 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Lei Huang 0012 — University of Electronic Science and Technology, School of Automation Engineering, Chengdu, China
- Lei Huang 0013 — Southeast University, School of Electrical Engineering, Nanjing, China
- Lei Huang 0014 — Dalian University of Technology, School of Mechanical Engineering, Dalian, China
- Lei Huang 0015 — Inception Institute of Artificial Intelligence, Abu Dhabi, UAE (and 1 more)
- Lei Huang 0016 — Beijing Jiaotong University, School of Economics and Management, Department of Information Management, Beijing, China
- Lei Huang 0017 — Loyola Marymount University, Department of Electrical Engineering and Computer Science, Los Angeles, CA, USA (and 1 more)
- Lei Huang 0018 — IBM Almaden Research, San Jose, CA, USA (and 1 more)
- Lei Vincent Huang (aka: Lei Huang 0020) — Hong Kong Baptist University, School of Communication, Hong Kong
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2020 – today
- 2023
[j6]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:
#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023)- [c16]Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William Gropp, Zhao Zhang:
Fine-grained Policy-driven I/O Sharing for Burst Buffers. SC 2023: 95:1-95:12 - [i4]Ed Karrels, Lei Huang, Yuhong Kan, Ishank Arora, Yinzhi Wang, Daniel S. Katz, William D. Gropp, Zhao Zhang:
Fine-grained Policy-driven I/O Sharing for Burst Buffers. CoRR abs/2306.11615 (2023) - 2022
- [j5]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:
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. 36(5-6): 603-623 (2022) - [j4]J. Gregory Pauloski, Lei Huang, Weijia Xu, Kyle Chard, Ian T. Foster, Zhao Zhang:
Deep Neural Network Training With Distributed K-FAC. IEEE Trans. Parallel Distributed Syst. 33(12): 3616-3627 (2022) - 2021
- [j3]John Cazes, Richard Todd Evans, Aaron Dubrow, Lei Huang, Si Liu, Robert T. McLay:
Preparing Frontera for Texascale Days. Comput. Sci. Eng. 23(3): 42-47 (2021) - [j2]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:
AI-driven multiscale simulations illuminate mechanisms of SARS-CoV-2 spike dynamics. Int. J. High Perform. Comput. Appl. 35(5) (2021) - [c15]J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: an adaptive second-order optimizer framework for deep neural networks. SC 2021: 13 - [c14]Richard Todd Evans, Matthew Cawood, Stephen Lien Harrell, Lei Huang, Si Liu, Chun-Yaung Lu, Amit Ruhela, Yinzhi Wang, Zhao Zhang:
Optimizing GPU-Enhanced HPC System and Cloud Procurements for Scientific Workloads. ISC 2021: 313-331 - [c13]Si Liu, Lei Huang, Hang Liu, Amit Ruhela, Virginia Trueheart, Susan Lindsey, Quan Yuan:
Practice Guideline for Heavy I/O Workloads with Lustre File Systems on TACC Supercomputers. PEARC 2021: 5:1-5:8 - [c12]Lei Huang, Yinzhi Wang, Chun-Yaung Lu, Si Liu:
Best practice of IO workload management in containerized environments on supercomputers. PEARC 2021: 13:1-13:7 - [i3]J. Gregory Pauloski, Qi Huang, Lei Huang, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang:
KAISA: An Adaptive Second-order Optimizer Framework for Deep Neural Networks. CoRR abs/2107.01739 (2021) - 2020
- [c11]Lei Huang, Si Liu:
OOOPS: An Innovative Tool for IO Workload Management on Supercomputers. ICPADS 2020: 486-493 - [c10]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Efficient I/O for Neural Network Training with Compressed Data. IPDPS 2020: 409-418 - [c9]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional neural network training with distributed K-FAC. SC 2020: 94 - [i2]J. Gregory Pauloski, Zhao Zhang, Lei Huang, Weijia Xu, Ian T. Foster:
Convolutional Neural Network Training with Distributed K-FAC. CoRR abs/2007.00784 (2020)
2010 – 2019
- 2019
- [c8]Zhao Zhang, Lei Huang, Ruizhu Huang, Weijia Xu, Daniel S. Katz:
Quantifying the Impact of Memory Errors in Deep Learning. CLUSTER 2019: 1-12 - [c7]Zhao Zhang, Lei Huang, J. Gregory Pauloski, Ian T. Foster:
Aggregating Local Storage for Scalable Deep Learning I/O. DLS@SC 2019: 69-75 - [c6]Lei Huang, Kent F. Milfeld, Si Liu:
Tools for Monitoring CPU Usage and Affinity in Multicore Supercomputers. HUST/SE-HER/WIHPC@SC 2019: 69-86 - [c5]Yinzhi Wang, R. Todd Evans, Lei Huang:
Performant Container Support for HPC Applications. PEARC 2019: 48:1-48:6 - 2018
- [i1]Zhao Zhang, Lei Huang, Uri Manor, Linjing Fang, Gabriele Merlo, Craig Michoski, John Cazes, Niall Gaffney:
FanStore: Enabling Efficient and Scalable I/O for Distributed Deep Learning. CoRR abs/1809.10799 (2018) - 2017
- [c4]Lei Huang, Weijia Xu, Si Liu, Venktesh Pandey, Natalia Ruiz-Juri:
Enabling versatile analysis of large scale traffic video data with deep learning and HiveQL. IEEE BigData 2017: 1153-1162 - [c3]Carlos Rosales, Antonio Gómez-Iglesias, Si Liu, Feng Chen, Lei Huang, Hang Liu, Antia Lamas-Linares, John Cazes:
Performance Prediction of HPC Applications on Intel Processors. IPDPS Workshops 2017: 1325-1332 - 2016
- [c2]Carlos Rosales, John Cazes, Kent F. Milfeld, Antonio Gómez-Iglesias, Lars Koesterke, Lei Huang, Jérôme Vienne:
A Comparative Study of Application Performance and Scalability on the Intel Knights Landing Processor. ISC Workshops 2016: 307-318 - 2015
- [c1]Na Zhang, Peng Zhang, Li Zhang, Xiao Zhu, Lei Huang, Yuefan Deng:
Performance examinations of multiple time-stepping algorithms on stampede supercomputer. XSEDE 2015: 8:1-8:7 - 2014
- [j1]Wei Jiang, James C. Phillips, Lei Huang, Mikolai Fajer, Yilin Meng, James C. Gumbart, Yun Luo, Klaus Schulten, Benoît Roux:
Generalized scalable multiple copy algorithms for molecular dynamics simulations in NAMD. Comput. Phys. Commun. 185(3): 908-916 (2014)
Coauthor Index
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last updated on 2024-04-19 19:30 CEST by the dblp team
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