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ORCIDFang (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
![[0000-0002-5669-9354]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5669-9354")
— 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
- 2023
[c21]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- [c20]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) - [c19]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 - [c18]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 - [c17]Eugene Min, Fang Liu, Ronald Rahaman:
Automatic Benchmark Testing with Performance Notification for a Research Computing Center. PEARC 2022: 18:1-18:7 - [c16]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 - 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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