A microeconomic data mining problem: customer-oriented catalog segmentation. - Martin Ester; Rong Ge 002; Wen Jin; Zengjian Hu (KDD, 2004)

Predicting and Evaluating Distributed Communication Performance. - Kirk W. Cameron; Rong Ge 002 (SC, 2004)

Power and Energy Profiling of Scientific Applications on Distributed Systems. - Xizhou Feng; Rong Ge 002; Kirk W. Cameron (IPDPS, 2005)

Improvement of Power-Performance Efficiency for High-End Computing. - Rong Ge 002; Xizhou Feng; Kirk W. Cameron (IPDPS, 2005)

ARGUS: Supercomputing in 1/10 Cubic Meter. - Xizhou Feng; Rong Ge 002; Kirk W. Cameron (Parallel and Distributed Computing and Networks, 2005)

Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters. - Rong Ge 002; Xizhou Feng; Kirk W. Cameron (SC, 2005)

High-Performance, Power-Aware Distributed Computing for Scientific Applications. - Kirk W. Cameron; Rong Ge 002; Xizhou Feng (Computer, 2005)

On Robust and Effective K-Anonymity in Large Databases. - Wen Jin; Rong Ge 002; Weining Qian (PAKDD, 2006)

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. - Martin Ester; Rong Ge 002; Byron J. Gao; Zengjian Hu; Boaz Ben-Moshe (SDM, 2006)

A Disc-based Approach to Data Summarization and Privacy Preservation. - Rong Ge 002; Martin Ester; Wen Jin; Zengjian Hu (SSDBM, 2006)

The Argus prototype: aggregate use of load modules as a high-density supercomputer. - Xizhou Feng; Rong Ge 002; Kirk W. Cameron (Concurr. Comput. Pract. Exp., 2006)

CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. - Rong Ge 002; Xizhou Feng; Wu-chun Feng; Kirk W. Cameron (ICPP, 2007)

Power-Aware Speedup. - Rong Ge 002; Kirk W. Cameron (IPDPS, 2007)

Constraint-driven clustering. - Rong Ge 002; Martin Ester; Wen Jin; Ian Davidson (KDD, 2007)

Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. - Flavia Moser; Rong Ge 002; Martin Ester (KDD, 2007)

Designing Computational Clusters for Performance and Power. - Kirk W. Cameron; Rong Ge 002; Xizhou Feng (Adv. Comput., 2007)

lognP and log3P: Accurate Analytical Models of Point-to-Point Communication in Distributed Systems. - Kirk W. Cameron; Rong Ge 002; Xian-He Sun (IEEE Trans. Computers, 2007)

Green Supercomputing Comes of Age. - Wu-chun Feng; Xizhou Feng; Rong Ge 002 (IT Prof., 2008)

Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications. - Rong Ge 002; Martin Ester; Byron J. Gao; Zengjian Hu; Binay K. Bhattacharya; Boaz Ben-Moshe (ACM Trans. Knowl. Discov. Data, 2008)

Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems. - Rong Ge 002; Xizhou Feng; Kirk W. Cameron (IPDPS, 2009)

A power aware study for VTDIRECT95 using DVFS. - Zhenwei Cao; Layne T. Watson; Kirk W. Cameron; Rong Ge 002 (SpringSim, 2009)

Energy Profiling and Analysis of the HPC Challenge Benchmarks. - Shuaiwen Song; Rong Ge 002; Xizhou Feng; Kirk W. Cameron (Int. J. High Perform. Comput. Appl., 2009)

System-Level, Unified In-band and Out-of-band Dynamic Thermal Control. - Dong Li 001; Rong Ge 002; Kirk W. Cameron (ICPP, 2010)

Characterizing energy efficiency of I/O intensive parallel applications on power-aware clusters. - Rong Ge 002; Xizhou Feng; Sindhu Subramanya; Xian-He Sun (IPDPS Workshops, 2010)

PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications. - Rong Ge 002; Xizhou Feng; Shuaiwen Song; Hung-Ching Chang; Dong Li 001; Kirk W. Cameron (IEEE Trans. Parallel Distributed Syst., 2010)

Improving MapReduce energy efficiency for computation intensive workloads. - Thomas Wirtz; Rong Ge 002 (IGCC, 2011)

HPPAC Introduction. - Rong Ge 002; Roberto Gioiosa (IPDPS Workshops, 2011)

Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation. - Shuaiwen Song; Chun-Yi Su; Rong Ge 002; Abhinav Vishnu; Kirk W. Cameron (IPDPS, 2011)

Boosting adaptivity of fault-tolerant scheduling for real-time tasks with service requirements on clusters. - Xiaomin Zhu 001; Chuan He; Rong Ge 002; Peizhong Lu (J. Syst. Softw., 2011)

SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware. - Rong Ge 002; Xizhou Feng; Xian-He Sun (CCGRID, 2012)

Energy consumption analysis of parallel sorting algorithms running on multicore systems. - Ivan Zecena; Ziliang Zong; Rong Ge 002; Tongdan Jin; Zizhong Chen; Meikang Qiu (IGCC, 2012)

Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters. - Longxiang Chen; Panruo Wu; Zizhong Chen; Rong Ge 002; Ziliang Zong (ICPP Workshops, 2012)

eTune: A Power Analysis Framework for Data-Intensive Computing. - Rong Ge 002; Xizhou Feng; Thomas Wirtz; Ziliang Zong; Zizhong Chen (ICPP Workshops, 2012)

Generalizing Amdahl's Law for Power and Energy. - Kirk W. Cameron; Rong Ge 002 (Computer, 2012)

Improving performance and energy efficiency of matrix multiplication via pipeline broadcast. - Li Tan; Longxiang Chen; Zizhong Chen; Ziliang Zong; Dong Li 001; Rong Ge 002 (CLUSTER, 2013)

Power and energy characteristics of MapReduce data movements. - Thomas Wirtz; Rong Ge 002; Ziliang Zong; Zizhong Chen (IGCC, 2013)

Energy-Efficient Scheduling for Multicore Systems with Bounded Resources. - Ziliang Zong; Jonathan Bush; Rong Ge 002; Xin Li 002; Zizhong Chen (GreenCom/iThings/CPScom, 2013)

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. - Rong Ge 002; Ryan Vogt; Jahangir Majumder; Arif Alam; Martin Burtscher; Ziliang Zong (ICPP, 2013)

Using intelligent prefetching to reduce the energy consumption of a large-scale storage system. - Brian Romoser; Ziliang Zong; Ribel Fares; Joal Wood; Rong Ge 002 (IPCCC, 2013)

A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. - Li Tan; Zizhong Chen; Ziliang Zong; Dong Li 001; Rong Ge 002 (IPCCC, 2013)

3E: Energy-efficient elastic scheduling for independent tasks in heterogeneous computing systems. - Xiaomin Zhu 001; Rong Ge 002; Jinguang Sun; Chuan He (J. Syst. Softw., 2013)

PEACH: a model for performance and energy aware cooperative hybrid computing. - Rong Ge 002; Xizhou Feng; Martin Burtscher; Ziliang Zong (Conf. Computing Frontiers, 2014)

HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. - Li Tan; Longxiang Chen; Zizhong Chen; Ziliang Zong; Rong Ge 002; Dong Li 001 (ICCS, 2014)

Energy and Power Characterization of Parallel Programs Running on Intel Xeon Phi. - Joal Wood; Ziliang Zong; Qijun Gu; Rong Ge 002 (ICPP Workshops, 2014)

Performance and Energy Modeling for Cooperative Hybrid Computing. - Rong Ge 002; Xizhou Feng; Martin Burtscher; Ziliang Zong (NAS, 2014)

CRUSH: Data collection and analysis framework for power capped data intensive computing. - Anurag Gupta; Sanjeev Gupta; Rong Ge 002; Ziliang Zong (IGSC, 2015)

Optimal balance between energy and performance in hybrid computing applications. - Donna Lakomski; Ziliang Zong; Tongdan Jin; Rong Ge 002 (IGSC, 2015)

Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing. - Li Tan; Shuaiwen Leon Song; Panruo Wu; Zizhong Chen; Rong Ge 002; Darren J. Kerbyson (IPDPS, 2015)

Big data analytics on traditional HPC infrastructure using two-level storage. - Pengfei Xuan; Jeffrey Denton; Pradip K. Srimani; Rong Ge 002; Feng Luo 001 (DISCS@SC, 2015)

The Case for Cross-Component Power Coordination on Power Bounded Systems. - Rong Ge 002; Xizhou Feng; Yangyang He; Pengfei Zou (ICPP, 2016)

Characterizing Power and Performance of GPU Memory Access. - Tyler N. Allen; Rong Ge 002 (E2SC@SC, 2016)

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. - Jieyang Chen; Li Tan; Panruo Wu; Dingwen Tao; Hongbo Li 006; Xin Liang 001; Sihuan Li; Rong Ge 002; Laxmi N. Bhuyan; Zizhong Chen (SC, 2016)

DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems. - Pengfei Xuan; Feng Luo 001; Rong Ge 002; Pradip K. Srimani (CoRR, 2016)

Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems. - Pengfei Xuan; Feng Luo 001; Rong Ge 002; Pradip K. Srimani (CCGrid, 2017)

CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems. - Pengfei Zou; Tyler N. Allen; Claude H. Davis IV; Xizhou Feng; Rong Ge 002 (CLUSTER, 2017)

Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems. - Rong Ge 002; Pengfei Zou; Xizhou Feng (ICPP, 2017)

Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics. - Ziliang Zong; Rong Ge 002; Qijun Gu (Big Data Res., 2017)

Accelerating big data analytics on HPC clusters using two-level storage. - Pengfei Xuan; Walter B. Ligon III; Pradip K. Srimani; Rong Ge 002; Feng Luo 001 (Parallel Comput., 2017)

Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. - Zhihui Du; Rong Ge 002; Victor W. Lee; Richard W. Vuduc; David A. Bader; Ligang He (Sci. Program., 2017)

Energy Analysis and Optimization for Resilient Scalable Linear Systems. - Zheng Miao; Jon Calhoun 001; Rong Ge 002 (CLUSTER, 2018)

Maximizing Throughput on Power-Bounded HPC Systems. - Pengfei Zou; Derek Rodriguez; Rong Ge 002 (CLUSTER, 2018)

Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. - Pengfei Zou; Ang Li 006; Kevin J. Barker; Rong Ge 002 (IISWC, 2019)

Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs. - Tyler N. Allen; Xizhou Feng; Rong Ge 002 (IPDPS, 2019)

Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems. - Pengfei Zou; Xizhou Feng; Rong Ge 002 (NAS, 2019)

Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. - Pengfei Zou; Ang Li 006; Kevin J. Barker; Rong Ge 002 (CCGRID, 2020)

DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. - Fei Ding; Hongda Li 002; Feng Luo 001; Hongxin Hu; Long Cheng 005; Hai Xiao; Rong Ge 002 (AsiaCCS, 2020)

Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. - Pengfei Zou; Ang Li 006; Kevin J. Barker; Rong Ge 002 (ICPP, 2020)

Relaxed Replication for Energy Efficient and Resilient GPU Computing. - Zheng Miao; Jon C. Calhoun; Rong Ge 002 (FTXS@SC, 2021)

FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. - Thomas Randall; Tyler N. Allen; Rong Ge 002 (ICS, 2021)

Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis. - Tyler N. Allen; Rong Ge 002 (IPDPS, 2021)

In-depth analyses of unified virtual memory system for GPU accelerated computing. - Tyler N. Allen; Rong Ge 002 (SC, 2021)

The Case for Cross-Component Power Coordination on Power Bounded Systems. - Rong Ge 002; Xizhou Feng; Tyler N. Allen; Pengfei Zou (IEEE Trans. Parallel Distributed Syst., 2021)

BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. - Zheng Miao; Jiajia Li 001; Jon C. Calhoun; Rong Ge 002 (CLUSTER, 2022)

TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG. - Zhenkai Zhang 002; Tyler N. Allen; Fan Yao; Xing Gao 001; Rong Ge 002 (CCS, 2023)

Transfer-learning-based Autotuning using Gaussian Copula. - Thomas Randall; Jaehoon Koo; Brice Videau; Michael Kruse; Xingfu Wu; Paul D. Hovland; Mary W. Hall; Rong Ge 002; Prasanna Balaprakash (ICS, 2023)

The Paradigm of Power Bounded High-Performance Computing. - Rong Ge 002; Xizhou Feng; Pengfei Zou; Tyler N. Allen (J. Comput. Sci. Technol., 2023)

Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. - Zheng Miao; Jon C. Calhoun; Rong Ge 002; Jiajia Li 001 (ACM Trans. Parallel Comput., 2023)

Thermal Behaviors in Liquid Immersion Cooling under Various Workloads: a Case Study. - Thomas Randall; Bennett Cooper; Naman Kulshreshtha; Rong Ge 002 (IGSC, 2024)

Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. - Bennett Cooper; Thomas R. W. Scogland; Rong Ge 002 (ICS, 2024)

Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory. - Tyler N. Allen; Bennett Cooper; Rong Ge 002 (ACM Trans. Archit. Code Optim., 2024)

Is In-Context Learning Feasible for HPC Performance Autotuning? - Thomas Randall; Akhilesh Bondapalli; Rong Ge 002; Prasanna Balaprakash (IPDPS (Workshops), 2025)

Towards resilient and energy efficient scalable Krylov solvers. - Zheng Miao; Jon C. Calhoun; Rong Ge 002 (Parallel Comput., 2025)

GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis. - Guoxi Liu; Thomas Randall; Rong Ge 002; Federico Iuricich (CoRR, 2025)