CCA-LISI: On Designing A CCA Parallel Sparse Linear Solver Interface. - Fang (Cherry) Liu; Randall Bramley (IPDPS, 2007)

Usability levels for sparse linear algebra components. - Masha Sosonkina; Fang Liu 028; Randall Bramley (Concurr. Comput. Pract. Exp., 2008)

Concurrent Data Processing for Fusion Simulation Through Distributed CCA Component. - Fang Liu 028; Nanbor Wang; Rooparani Pundaleeka; Randall Bramley (PDCCS, 2009)

A HPC sparse solver interface for scalable multilevel methods. - Fang Liu 028; Masha Sosonkina; Randall Bramley (SpringSim, 2009)

A New Approach: Component-Based Multi-physics Coupling through CCA-LISI. - Fang Liu 028; Masha Sosonkina; Randall Bramley (ICCSA (2), 2010)

Dynamic Frequency Scaling and Energy Saving in Quantum Chemistry Applications. - Vaibhav Sundriyal; Masha Sosonkina; Fang Liu 028; Michael W. Schmidt (IPDPS Workshops, 2011)

A data management system for ab-initio nuclear physics applications. - Fang Liu 028; Ritu Mundhe; Masha Sosonkina; Chase Cockrell; Miles Aronnax; Pieter Maris; James P. Vary (SpringSim (HPC), 2011)

A Multilevel Parallelism Support for Multi-Physics Coupling. - Fang Liu 028; Masha Sosonkina (ICCS, 2011)

Web Service andWorkflow Abstractions to Large Scale Nuclear Physics Calculations. - Chathura Herath; Fang Liu 028; Suresh Marru; Lahiru Gunathilake; Masha Sosonkina; James P. Vary; Pieter Maris; Marlon E. Pierce (IEEE SCC, 2012)

Building a research data science platform from industrial machines. - Fang (Cherry) Liu; Fu Shen; Duen Horng Chau; Neil Bright; Mehmet Belgin (IEEE BigData, 2016)

Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets. - Paras Jain 003; Chirag Tailor; Sam Ford; Liexiao Ding; Michael Phillips; Fang (Cherry) Liu; Nagi Gebraeel; Duen Horng Chau (IPDPS Workshops, 2017)

Insights into Research Computing Operations using Big Data-Powered Log Analysis. - Fang (Cherry) Liu; Weijia Xu; Mehmet Belgin; Ruizhu Huang; Blake C. Fleischer (PEARC, 2017)

Integrated HPC Scheduler Data Processing Workflow using Apache Zeppelin. - Fang (Cherry) Liu; Yuanjie Sun; Adele Yunlan Sun; Weijia Xu (IEEE BigData, 2018)

ICE: A Federated Instructional Cluster Environment for Georgia Tech. - Mehmet Belgin; Trever C. Nightingale; David A. Mercer; Fang (Cherry) Liu; Peter Wan; Andre C. McNeill; Rubén Lara; Paul Manno; Neil Bright (PEARC, 2018)

Building Big Data Processing and Visualization Pipeline through Apache Zeppelin. - Yanzhe Cheng; Fang (Cherry) Liu; Shan Jing; Weijia Xu; Duen Horng Chau (PEARC, 2018)

A data-driven support strategy for a sustainable research software repository. - Mehmet Belgin; Tyler A. Perini; Fang (Cherry) Liu; Nuyun Zhang; Semir Sarajlic; Andre C. McNeill; Paul Manno; Neil Bright (Concurr. Comput. Pract. Exp., 2019)

Facilitating the HPC Data Center Host efficiency through Big Data Analytics. - Jack Rager; Fang (Cherry) Liu (IEEE BigData, 2020)

Human-in-the-Loop Automatic Data Migration for a Large Research Computing Data Center. - 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 (CSCI, 2021)

Buzzard: Georgia Tech's Foray into the Open Science Grid. - 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; et al. (PEARC, 2022)

Phoenix: The Revival of Research Computing and the Launch of the New Cost Model at Georgia Tech. - 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 002; et al. (PEARC, 2022)

A Fully Automated Scratch Storage Cleanup Tool for Heterogeneous Parallel Filesystems. - Fang (Cherry) Liu; Dan Zhou; Ken Suda; Michael D. Weiner; Mehmet Belgin; Rubén Lara; Pam Buffington (PEARC, 2022)

Automatic Benchmark Testing with Performance Notification for a Research Computing Center. - Eugene Min; Fang Liu 028; Ronald Rahaman (PEARC, 2022)

ProvBench: A performance provenance capturing framework for heterogeneous research computing environments. - Fang (Cherry) Liu; Mehmet Belgin; Nuyun Zhang; Kevin Manalo; Rubén Lara; Christopher P. Stone; Paul Manno (Concurr. Comput. Pract. Exp., 2022)

ICE 2.0: Restructuring and Growing an Instructional HPC Cluster. - 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; et al. (SC Workshops, 2023)

Semi-Automatic Hybrid Software Deployment Workflow in a Research Computing Center. - Fang Liu 028; Ronald Rahaman; Michael D. Weiner; Eric Coulter; Deepa Phanish; Jeffrey Valdez; Semir Sarajlic; Rubén Lara; Pam Buffington (PEARC, 2023)

Research Collaboration Discovery through Neo4j Knowledge Graph. - Keller Smith; Fang Liu 028; Deepa Phanish; Heng-Ju Chen; Rickie Chen; Didier Contis (PEARC, 2024)

Exploring Research Dataset-Sharing Strategies for Concurrent AI Workflows. - Yongnuo Yang; Fang Liu 028; Michael D. Weiner; Aaron Jezghani; J. Eric Coulter; Rubén Lara; Ronald Rahaman; Kenneth J. Suda; Jeffrey Valdez; Dee Womack; Dan Zhou (PEARC, 2024)