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Fang (Cherry) Liu
Person information
- affiliation: Georgia Institute of Technology, Partnership for An Advanced Computing Environment, Atlanta, GA, USA
- affiliation: USDOE Ames Laboratory, Scalable Computing Lab, Ames, IA, USA
- affiliation (PhD 2009): Indiana University, Computer Science Department, Bloomington, IN, USA
Other persons with the same name
- Fang Liu — disambiguation page
- Fang Liu 0001
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Fang Liu 0002
— HuNan University, School of Design, Changsha, China (and 2 more)
- Fang Liu 0003
— Anhui University, College of Electrical Engineering and Automation, Hefei, China (and 1 more)
- Fang Liu 0004
— Shenyang Ligong University, School of Information Science and Engineering, China
- Fang Liu 0005
— University of Wisconsin at Madison, Department of Radiology, WI, USA
- Fang Liu 0006
— University of Notre Dame, Department of Applied and Computational Mathematics and Statistics, IN, USA
- Fang Liu 0007 — National Library of Medicine, Bethesda, MD, USA
- Fang Liu 0008
— Nanyang Technological University, Nanyang Business School, Singapore (and 1 more)
- Fang Liu 0009
— Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Fang Liu 0010 — Zhejiang University, Institute of Microelectronics and Optoelectronics, China
- Fang Liu 0011
— Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, China (and 1 more)
- Fang Liu 0012
— Tianjin University, School of Electrical and Information Engineering, Key Laboratory of Smart Grid of MoE, China
- Fang Liu 0013
— Zhejiang University of Finance and Economics, School of Accounting, Hangzhou, China
- Fang Liu 0014
— Central South University, School of Automation, Changsha, China
- Fang Liu 0015
— Shenyang Ligong University, College of Science, Shenyang, China
- Fang Liu 0016
— Beijing University of Posts and Telecommunications, School of Electronic Engineering, Beijing, China
- Fang Liu 0017
— Guangxi University, School of Mathematics and Information Science, Nanning, China (and 1 more)
- Fang Liu 0018
— University of Reading, School of Psychology and Clinical Language Sciences, Reading, UK (and 2 more)
- Fang Liu 0019 — Microsoft, Redmond, WA, USA (and 1 more)
- Fang Liu 0020 — Ohio State University, Department of Electrical and Computer Engineering, Columbus, OH, USA
- Fang Liu 0021
— Changsha University of Science and Technology, School of Transportation Engineering, Changsha, China (and 1 more)
- Fang Liu 0022
— Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Fang Liu 0023
— Huanghuai University, School of Information Engineering, Henan International Joint Laboratory of Behavior Optimization Control for Smart Robots, Zhumadian, China (and 1 more)
- Fang Liu 0024 — City University of Hong Kong, Department of Electronic Engineering, Hong Kong
- Fang Liu 0025 — University of Texas - Pan American, Department of Computer Science, Edinburg, TX, USA (and 1 more)
- Fang Liu 0026
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing, China
- Fang Liu 0027 — Massachusetts Institute of Technology, Media Laboratory, Cambridge, MA, USA
- Fang Liu 0029 — Duke University, Department of Electrical & Computer Engineering, Durham, NC, USA
- Fang Liu 0030
— Guangdong University of Finance and Economics, School of Internet Finance and Information Engineering, Guangzhou, China (and 1 more)
- Fang Liu 0031
— Wuhan University, School of Computer Science, China (and 1 more)
- Fang Liu 0032
— Peking University, Key Lab of High Confidence Software Technology, School of Computer Science, Beijing, China
- Fang Liu 0033
— Dalian University of Technology, School of Computer Science and Technology, China
- Fang Liu 0034
— Nanjing University of Science and Technology, China (and 1 more)
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2020 – today
- 2024
- [c24]Keller Smith
, Fang Liu
, Deepa Phanish
, Heng-Ju Chen
, Rickie Chen
, Didier Contis
:
Research Collaboration Discovery through Neo4j Knowledge Graph. PEARC 2024: 25:1-25:7 - [c23]Yongnuo Yang
, Fang Liu
, Michael D. Weiner
, Aaron Jezghani
, J. Eric Coulter
, Rubén Lara
, Ronald Rahaman
, Kenneth J. Suda
, Jeffrey Valdez
, Dee Womack
, Dan Zhou
:
Exploring Research Dataset-Sharing Strategies for Concurrent AI Workflows. PEARC 2024: 76:1-76:4 - 2023
- [c22]J. Eric Coulter
, Michael D. Weiner
, Aaron Jezghani
, Matthew Guidry
, Rubén Lara
, Fang (Cherry) Liu
, Allan Metts
, Ronald Rahaman
, Kenneth J. Suda
, Peter Wan
, Gregory Willcox
, Deirdre Womack
, Dan Zhou:
ICE 2.0: Restructuring and Growing an Instructional HPC Cluster. SC Workshops 2023: 591-597 - [c21]Fang Liu
, Ronald Rahaman
, Michael D. Weiner
, Eric Coulter
, Deepa Phanish
, Jeffrey Valdez
, Semir Sarajlic
, Rubén Lara
, Pam Buffington
:
Semi-Automatic Hybrid Software Deployment Workflow in a Research Computing Center. PEARC 2023: 68-74 - 2022
- [j3]Fang (Cherry) Liu
, Mehmet Belgin, Nuyun Zhang, Kevin Manalo, Rubén Lara, Christopher P. Stone, Paul Manno:
ProvBench: A performance provenance capturing framework for heterogeneous research computing environments. Concurr. Comput. Pract. Exp. 34(10) (2022) - [c20]Aaron Jezghani
, Semir Sarajlic, Michael Brandon, Neil Bright, Mehmet Belgin, Gregory L. Beyer, Christopher Blanton, Pam Buffington, J. Eric Coulter, Rubén Lara, Lew Lefton
, David Leonard, Fang (Cherry) Liu, Kevin Manalo, Paul Manno, Craig A. Moseley, Trever C. Nightingale, Norman Bray Bonner, Ronald Rahaman, Christopher Stone, Kenneth J. Suda, Peter Wan, Michael D. Weiner
, Deirdre Womack, Nuyun Zhang, Dan Zhou:
Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech. PEARC 2022: 13:1-13:9 - [c19]Fang (Cherry) Liu
, Dan Zhou, Ken Suda, Michael D. Weiner
, Mehmet Belgin, Rubén Lara, Pam Buffington:
A Fully Automated Scratch Storage Cleanup Tool for Heterogeneous Parallel Filesystems. PEARC 2022: 16:1-16:7 - [c18]Eugene Min, Fang Liu
, Ronald Rahaman:
Automatic Benchmark Testing with Performance Notification for a Research Computing Center. PEARC 2022: 18:1-18:7 - [c17]Mehmet Belgin, Semir Sarajlic, Rubén Lara, Laura Cadonati, A. Nepomuk Otte, Ignacio J. Taboada
, Gregory L. Beyer, Norman Bray Bonner, Michael Brandon, Pam Buffington, J. Eric Coulter, Aaron Jezghani
, David Leonard, Fang Liu, Paul D. Manno, Craig A. Moseley, Trever C. Nightingale, Ronald Rahaman, Kenneth J. Suda, Peter Wan, Michael D. Weiner
, Deirdre Womack, Dan Zhou, Andre C. McNeill, Neil Bright, Robert W. Gardner, Pascal Paschos, Lincoln Andrew Bryant, Judith Lorraine Stephen, James Alexander Clark, Brian Hua Lin, Todd Tannenbaum, Gregory Thain:
Buzzard: Georgia Tech's Foray into the Open Science Grid. PEARC 2022: 47:1-47:5 - 2021
- [c16]Fang (Cherry) Liu
, Michael D. Weiner
, Kevin Manalo, Aaron Jezghani
, Christopher J. Blanton, Christopher Stone, Kenneth J. Suda, Nuyun Zhang, Dan Zhou, Mehmet Belgin, Semir Sarajlic, Rubén Lara:
Human-in-the-Loop Automatic Data Migration for a Large Research Computing Data Center. CSCI 2021: 1752-1758 - 2020
- [c15]Jack Rager, Fang (Cherry) Liu
:
Facilitating the HPC Data Center Host efficiency through Big Data Analytics. IEEE BigData 2020: 3280-3287
2010 – 2019
- 2019
- [j2]Mehmet Belgin
, Tyler A. Perini
, Fang (Cherry) Liu
, Nuyun Zhang, Semir Sarajlic, Andre C. McNeill, Paul Manno, Neil Bright:
A data-driven support strategy for a sustainable research software repository. Concurr. Comput. Pract. Exp. 31(20) (2019) - 2018
- [c14]Fang (Cherry) Liu
, Yuanjie Sun, Adele Yunlan Sun, Weijia Xu:
Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin. IEEE BigData 2018: 4254-4260 - [c13]Mehmet Belgin, Trever C. Nightingale, David A. Mercer, Fang (Cherry) Liu
, Peter Wan, Andre C. McNeill, Rubén Lara, Paul Manno, Neil Bright:
ICE: A Federated Instructional Cluster Environment for Georgia Tech. PEARC 2018: 16:1-16:7 - [c12]Yanzhe Cheng, Fang (Cherry) Liu, Shan Jing, Weijia Xu, Duen Horng Chau
:
Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. PEARC 2018: 57:1-57:7 - 2017
- [c11]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu
, Nagi Gebraeel, Duen Horng Chau
:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. IPDPS Workshops 2017: 1078-1082 - [c10]Fang (Cherry) Liu
, Weijia Xu, Mehmet Belgin, Ruizhu Huang, Blake C. Fleischer:
Insights into Research Computing Operations using Big Data-Powered Log Analysis. PEARC 2017: 31:1-31:8 - [i1]Paras Jain, Chirag Tailor, Sam Ford, Liexiao Ding, Michael Phillips, Fang (Cherry) Liu, Nagi Gebraeel, Duen Horng Chau:
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. CoRR abs/1701.07500 (2017) - 2016
- [c9]Fang (Cherry) Liu
, Fu Shen, Duen Horng Chau
, Neil Bright, Mehmet Belgin:
Building a research data science platform from industrial machines. IEEE BigData 2016: 2270-2275 - 2013
- [e1]Fang (Cherry) Liu, Karl Rupp, Rhonda D. Phillips, William I. Thacker:
2013 Spring Simulation Multiconference, SpringSim '13, San Diego, CA, USA, April 7-10, 2013, Proceedings of the High Performance Computing Symposium (HPC). ACM 2013, ISBN 978-1-62748-033-8 [contents] - 2012
- [c8]Chathura Herath, Fang Liu
, Suresh Marru, Lahiru Gunathilake, Masha Sosonkina, James P. Vary, Pieter Maris, Marlon E. Pierce
:
Web Service andWorkflow Abstractions to Large Scale Nuclear Physics Calculations. IEEE SCC 2012: 703-710 - 2011
- [c7]Vaibhav Sundriyal, Masha Sosonkina, Fang Liu, Michael W. Schmidt:
Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications. IPDPS Workshops 2011: 837-845 - [c6]Fang Liu, Ritu Mundhe, Masha Sosonkina, Chase Cockrell, Miles Aronnax, Pieter Maris, James P. Vary:
A data management system for ab-initio nuclear physics applications. SpringSim (HPC) 2011: 40-47 - [c5]Fang Liu
, Masha Sosonkina:
A Multilevel Parallelism Support for Multi-Physics Coupling. ICCS 2011: 261-270 - 2010
- [c4]Fang Liu
, Masha Sosonkina, Randall Bramley:
A New Approach: Component-Based Multi-physics Coupling through CCA-LISI. ICCSA (2) 2010: 503-518
2000 – 2009
- 2009
- [c3]Fang Liu, Nanbor Wang, Rooparani Pundaleeka, Randall Bramley:
Concurrent Data Processing for Fusion Simulation Through Distributed CCA Component. PDCCS 2009: 77-82 - [c2]Fang Liu, Masha Sosonkina, Randall Bramley:
A HPC sparse solver interface for scalable multilevel methods. SpringSim 2009 - 2008
- [j1]Masha Sosonkina, Fang Liu
, Randall Bramley:
Usability levels for sparse linear algebra components. Concurr. Comput. Pract. Exp. 20(12): 1439-1454 (2008) - 2007
- [c1]Fang (Cherry) Liu
, Randall Bramley:
CCA-LISI: On Designing A CCA Parallel Sparse Linear Solver Interface. IPDPS 2007: 1-10
Coauthor Index
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last updated on 2024-08-29 20:57 CEST by the dblp team
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