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ORCIDRong Ge 0002
Person information
- affiliation: Clemson University, School of Computing, SC, USA
Other persons with the same name
- Rong Ge — disambiguation page
- Rong Ge 0001
![[0000-0003-2807-7168]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2807-7168")
— Duke University, Durham, NC, USA (and 1 more) - Rong Ge 0003 — Marquette University, Milwaukee, WI, USA
- Rong Ge 0005 — Purdue University, West Lafayette, IN, USA
- Rong Ge 0006 — Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Key Laboratory of Ecosystem Network Observation and Modeling, Beijing, China
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2020 – today
- 2025
[j19]Zheng Miao, Jon C. Calhoun, Rong Ge:
Towards resilient and energy efficient scalable Krylov solvers. Parallel Comput. 123: 103122 (2025)- 2024
- [j18]Tyler N. Allen, Bennett Cooper, Rong Ge:
Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory. ACM Trans. Archit. Code Optim. 21(1): 14:1-14:24 (2024) - [c61]Thomas Randall, Bennett Cooper, Naman Kulshreshtha, Rong Ge:
Thermal Behaviors in Liquid Immersion Cooling under Various Workloads: a Case Study. IGSC 2024: 116-121 - [c60]Bennett Cooper, Thomas R. W. Scogland, Rong Ge:
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. ICS 2024: 26-37 - [i4]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR abs/2401.04669 (2024) - [i3]Bennett Cooper, Thomas R. W. Scogland, Rong Ge:
Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. CoRR abs/2405.06811 (2024) - 2023
- [j17]Rong Ge, Xizhou Feng, Pengfei Zou, Tyler N. Allen:
The Paradigm of Power Bounded High-Performance Computing. J. Comput. Sci. Technol. 38(1): 87-102 (2023) - [j16]Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li:
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM Trans. Parallel Comput. 10(2): 10:1-10:27 (2023) - [c59]Zhenkai Zhang, Tyler N. Allen, Fan Yao, Xing Gao, Rong Ge:
TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG. CCS 2023: 960-974 - [c58]Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash:
Transfer-learning-based Autotuning using Gaussian Copula. ICS 2023: 37-49 - [i2]Thomas Randall, Tyler N. Allen, Rong Ge:
FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems. CoRR abs/2312.07743 (2023) - 2022
- [c57]Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge:
BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. CLUSTER 2022: 440-450 - 2021
- [j15]Rong Ge, Xizhou Feng, Tyler N. Allen, Pengfei Zou:
The Case for Cross-Component Power Coordination on Power Bounded Systems. IEEE Trans. Parallel Distributed Syst. 32(10): 2464-2476 (2021) - [c56]Zheng Miao, Jon C. Calhoun, Rong Ge:
Relaxed Replication for Energy Efficient and Resilient GPU Computing. FTXS@SC 2021: 41-50 - [c55]Thomas Randall, Tyler N. Allen, Rong Ge:
FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. ICS 2021: 455-466 - [c54]Tyler N. Allen, Rong Ge:
Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis. IPDPS 2021: 141-150 - [c53]Tyler N. Allen, Rong Ge:
In-depth analyses of unified virtual memory system for GPU accelerated computing. SC 2021: 64 - 2020
- [c52]Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. CCGRID 2020: 559-568 - [c51]Fei Ding, Hongda Li, Feng Luo, Hongxin Hu, Long Cheng, Hai Xiao, Rong Ge:
DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. AsiaCCS 2020: 33-46 - [c50]Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. ICPP 2020: 52:1-52:11
2010 – 2019
- 2019
- [c49]Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge:
Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. IISWC 2019: 253-256 - [c48]Tyler N. Allen, Xizhou Feng, Rong Ge:
Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs. IPDPS 2019: 252-261 - [c47]Pengfei Zou, Xizhou Feng, Rong Ge:
Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems. NAS 2019: 1-8 - 2018
- [c46]Zheng Miao, Jon Calhoun, Rong Ge:
Energy Analysis and Optimization for Resilient Scalable Linear Systems. CLUSTER 2018: 24-34 - [c45]Pengfei Zou, Derek Rodriguez, Rong Ge:
Maximizing Throughput on Power-Bounded HPC Systems. CLUSTER 2018: 156-157 - 2017
- [j14]Ziliang Zong, Rong Ge, Qijun Gu:
Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics. Big Data Res. 8: 27-38 (2017) - [j13]Pengfei Xuan, Walter B. Ligon III, Pradip K. Srimani, Rong Ge, Feng Luo:
Accelerating big data analytics on HPC clusters using two-level storage. Parallel Comput. 61: 18-34 (2017) - [j12]Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He:
Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Sci. Program. 2017: 8686971:1-8686971:13 (2017) - [c44]Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani:
Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems. CCGrid 2017: 549-558 - [c43]Pengfei Zou, Tyler N. Allen, Claude H. Davis IV, Xizhou Feng, Rong Ge:
CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems. CLUSTER 2017: 541-551 - [c42]Rong Ge, Pengfei Zou, Xizhou Feng:
Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems. ICPP 2017: 591-600 - 2016
- [c41]Rong Ge, Xizhou Feng, Yangyang He, Pengfei Zou:
The Case for Cross-Component Power Coordination on Power Bounded Systems. ICPP 2016: 516-525 - [c40]Tyler N. Allen, Rong Ge:
Characterizing Power and Performance of GPU Memory Access. E2SC@SC 2016: 46-53 - [c39]Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen:
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC 2016: 667-677 - [i1]Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani:
DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems. CoRR abs/1609.09294 (2016) - 2015
- [c38]Anurag Gupta, Sanjeev Gupta, Rong Ge, Ziliang Zong:
CRUSH: Data collection and analysis framework for power capped data intensive computing. IGSC 2015: 1-6 - [c37]Donna Lakomski, Ziliang Zong, Tongdan Jin, Rong Ge:
Optimal balance between energy and performance in hybrid computing applications. IGSC 2015: 1-8 - [c36]Li Tan, Shuaiwen Leon Song, Panruo Wu, Zizhong Chen, Rong Ge, Darren J. Kerbyson:
Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing. IPDPS 2015: 786-796 - [c35]Pengfei Xuan, Jeffrey Denton, Pradip K. Srimani, Rong Ge, Feng Luo:
Big data analytics on traditional HPC infrastructure using two-level storage. DISCS@SC 2015: 4:1-4:8 - 2014
- [c34]Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong:
PEACH: a model for performance and energy aware cooperative hybrid computing. Conf. Computing Frontiers 2014: 24:1-24:2 - [c33]Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li:
HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. ICCS 2014: 599-613 - [c32]Joal Wood, Ziliang Zong, Qijun Gu, Rong Ge:
Energy and Power Characterization of Parallel Programs Running on Intel Xeon Phi. ICPP Workshops 2014: 265-272 - [c31]Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong:
Performance and Energy Modeling for Cooperative Hybrid Computing. NAS 2014: 232-241 - 2013
- [j11]Xiaomin Zhu, Rong Ge, Jinguang Sun, Chuan He:
3E: Energy-efficient elastic scheduling for independent tasks in heterogeneous computing systems. J. Syst. Softw. 86(2): 302-314 (2013) - [c30]Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge:
Improving performance and energy efficiency of matrix multiplication via pipeline broadcast. CLUSTER 2013: 1-5 - [c29]Thomas Wirtz, Rong Ge, Ziliang Zong, Zizhong Chen:
Power and energy characteristics of MapReduce data movements. IGCC 2013: 1-7 - [c28]Ziliang Zong, Jonathan Bush, Rong Ge, Xin Li, Zizhong Chen:
Energy-Efficient Scheduling for Multicore Systems with Bounded Resources. GreenCom/iThings/CPScom 2013: 163-170 - [c27]Rong Ge, Ryan Vogt, Jahangir Majumder, Arif Alam, Martin Burtscher, Ziliang Zong:
Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. ICPP 2013: 826-833 - [c26]Brian Romoser, Ziliang Zong, Ribel Fares, Joal Wood, Rong Ge:
Using intelligent prefetching to reduce the energy consumption of a large-scale storage system. IPCCC 2013: 1-9 - [c25]Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge:
A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. IPCCC 2013: 1-10 - 2012
- [j10]Kirk W. Cameron, Rong Ge:
Generalizing Amdahl's Law for Power and Energy. Computer 45(3): 75-77 (2012) - [c24]Rong Ge, Xizhou Feng, Xian-He Sun:
SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware. CCGRID 2012: 204-211 - [c23]Ivan Zecena, Ziliang Zong, Rong Ge, Tongdan Jin, Zizhong Chen, Meikang Qiu:
Energy consumption analysis of parallel sorting algorithms running on multicore systems. IGCC 2012: 1-6 - [c22]Longxiang Chen, Panruo Wu, Zizhong Chen, Rong Ge, Ziliang Zong:
Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters. ICPP Workshops 2012: 239-245 - [c21]Rong Ge, Xizhou Feng, Thomas Wirtz, Ziliang Zong, Zizhong Chen:
eTune: A Power Analysis Framework for Data-Intensive Computing. ICPP Workshops 2012: 254-261 - 2011
- [j9]Xiaomin Zhu, Chuan He, Rong Ge, Peizhong Lu:
Boosting adaptivity of fault-tolerant scheduling for real-time tasks with service requirements on clusters. J. Syst. Softw. 84(10): 1708-1716 (2011) - [c20]Thomas Wirtz, Rong Ge:
Improving MapReduce energy efficiency for computation intensive workloads. IGCC 2011: 1-8 - [c19]Shuaiwen Song, Chun-Yi Su, Rong Ge, Abhinav Vishnu, Kirk W. Cameron:
Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation. IPDPS 2011: 128-139 - [c18]Rong Ge, Roberto Gioiosa:
HPPAC Introduction. IPDPS Workshops 2011: 795 - 2010
- [j8]Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron:
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications. IEEE Trans. Parallel Distributed Syst. 21(5): 658-671 (2010) - [c17]Dong Li, Rong Ge, Kirk W. Cameron:
System-Level, Unified In-band and Out-of-band Dynamic Thermal Control. ICPP 2010: 131-140 - [c16]Rong Ge, Xizhou Feng, Sindhu Subramanya, Xian-He Sun:
Characterizing energy efficiency of I/O intensive parallel applications on power-aware clusters. IPDPS Workshops 2010: 1-8
2000 – 2009
- 2009
- [j7]Shuaiwen Song, Rong Ge, Xizhou Feng, Kirk W. Cameron:
Energy Profiling and Analysis of the HPC Challenge Benchmarks. Int. J. High Perform. Comput. Appl. 23(3): 265-276 (2009) - [c15]Rong Ge, Xizhou Feng, Kirk W. Cameron:
Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems. IPDPS 2009: 1-8 - [c14]Zhenwei Cao, Layne T. Watson, Kirk W. Cameron, Rong Ge:
A power aware study for VTDIRECT95 using DVFS. SpringSim 2009 - 2008
- [j6]Wu-chun Feng, Xizhou Feng, Rong Ge:
Green Supercomputing Comes of Age. IT Prof. 10(1): 17-23 (2008) - [j5]Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe:
Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications. ACM Trans. Knowl. Discov. Data 2(2): 7:1-7:35 (2008) - 2007
- [j4]Kirk W. Cameron, Rong Ge, Xizhou Feng:
Designing Computational Clusters for Performance and Power. Adv. Comput. 69: 89-153 (2007) - [j3]Kirk W. Cameron, Rong Ge, Xian-He Sun:
lognP and log3P: Accurate Analytical Models of Point-to-Point Communication in Distributed Systems. IEEE Trans. Computers 56(3): 314-327 (2007) - [c13]Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Cameron:
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. ICPP 2007: 18 - [c12]Rong Ge, Kirk W. Cameron:
Power-Aware Speedup. IPDPS 2007: 1-10 - [c11]Rong Ge, Martin Ester, Wen Jin, Ian Davidson:
Constraint-driven clustering. KDD 2007: 320-329 - [c10]Flavia Moser, Rong Ge, Martin Ester:
Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. KDD 2007: 510-519 - 2006
- [j2]Xizhou Feng, Rong Ge, Kirk W. Cameron:
The Argus prototype: aggregate use of load modules as a high-density supercomputer. Concurr. Comput. Pract. Exp. 18(15): 1975-1987 (2006) - [c9]Wen Jin, Rong Ge, Weining Qian:
On Robust and Effective K-Anonymity in Large Databases. PAKDD 2006: 621-636 - [c8]Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe:
Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SDM 2006: 246-257 - [c7]Rong Ge, Martin Ester, Wen Jin, Zengjian Hu:
A Disc-based Approach to Data Summarization and Privacy Preservation. SSDBM 2006: 321-332 - 2005
- [j1]Kirk W. Cameron, Rong Ge, Xizhou Feng:
High-Performance, Power-Aware Distributed Computing for Scientific Applications. Computer 38(11): 40-47 (2005) - [c6]Xizhou Feng, Rong Ge, Kirk W. Cameron:
Power and Energy Profiling of Scientific Applications on Distributed Systems. IPDPS 2005 - [c5]Rong Ge, Xizhou Feng, Kirk W. Cameron:
Improvement of Power-Performance Efficiency for High-End Computing. IPDPS 2005 - [c4]Xizhou Feng, Rong Ge, Kirk W. Cameron:
ARGUS: Supercomputing in 1/10 Cubic Meter. Parallel and Distributed Computing and Networks 2005: 20-25 - [c3]Rong Ge, Xizhou Feng, Kirk W. Cameron:
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters. SC 2005: 34 - 2004
- [c2]Martin Ester, Rong Ge, Wen Jin, Zengjian Hu:
A microeconomic data mining problem: customer-oriented catalog segmentation. KDD 2004: 557-562 - [c1]Kirk W. Cameron, Rong Ge:
Predicting and Evaluating Distributed Communication Performance. SC 2004: 43
Coauthor Index
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