Rong Ge - RankMe

89 papers A* 4A 18B 11C 7Misc 1Journal 25Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis. IEEE Trans. Vis. Comput. Graph. Guoxi Liu, Thomas Randall, Rong Ge, Federico Iuricich
2025	—	`conf`	AskHPC: A ChatBot for High Performance Computing User Support. SC Workshops Akhilesh Bondapalli, Huihuo Zheng, Oluwaseun T. Ajayi, Murat Keçeli, Haritha Siddabathuni Som, J. Taylor Childers, Lisa Childers, Yasaman Ghadar, Michael E. Papka, Venkatram Vishwanath, Rong Ge
2025	J	`jnl`	GALE: Leveraging Heterogeneous Systems for Efficient Unstructured Mesh Data Analysis. CoRR Guoxi Liu, Thomas Randall, Rong Ge, Federico Iuricich
2025	A	`conf`	HELM: Characterizing Unified Memory Accesses to Improve GPU Performance under Memory Oversubscription. SC Nathan Jones, Tyler N. Allen, Rong Ge
2025	—	`conf`	Is In-Context Learning Feasible for HPC Performance Autotuning? IPDPS (Workshops) Thomas Randall, Akhilesh Bondapalli, Rong Ge, Prasanna Balaprakash
2025	J	`jnl`	Towards resilient and energy efficient scalable Krylov solvers. Parallel Comput. Zheng Miao, Jon C. Calhoun, Rong Ge
2024	J	`jnl`	Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory. ACM Trans. Archit. Code Optim. Tyler N. Allen, Bennett Cooper, Rong Ge
2024	A	`conf`	Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. ICS Bennett Cooper, Thomas R. W. Scogland, Rong Ge
2024	J	`jnl`	Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications. CoRR Bennett Cooper, Thomas R. W. Scogland, Rong Ge
2024	—	`conf`	Thermal Behaviors in Liquid Immersion Cooling under Various Workloads: a Case Study. IGSC Thomas Randall, Bennett Cooper, Naman Kulshreshtha, Rong Ge
2024	J	`jnl`	Transfer-Learning-Based Autotuning Using Gaussian Copula. CoRR Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	J	`jnl`	FULL-W2V: Fully Exploiting Data Reuse for W2V on GPU-Accelerated Systems. CoRR Thomas Randall, Tyler N. Allen, Rong Ge
2023	J	`jnl`	Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM Trans. Parallel Comput. Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li
2023	J	`jnl`	The Paradigm of Power Bounded High-Performance Computing. J. Comput. Sci. Technol. Rong Ge, Xizhou Feng, Pengfei Zou, Tyler N. Allen
2023	A	`conf`	Transfer-learning-based Autotuning using Gaussian Copula. ICS Thomas Randall, Jaehoon Koo, Brice Videau, Michael Kruse, Xingfu Wu, Paul D. Hovland, Mary W. Hall, Rong Ge, Prasanna Balaprakash
2023	A*	`conf`	TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG. CCS Zhenkai Zhang, Tyler N. Allen, Fan Yao, Xing Gao, Rong Ge
2022	C	`conf`	BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. CLUSTER Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge
2021	A	`conf`	Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis. IPDPS Tyler N. Allen, Rong Ge
2021	A	`conf`	FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems. ICS Thomas Randall, Tyler N. Allen, Rong Ge
2021	A	`conf`	In-depth analyses of unified virtual memory system for GPU accelerated computing. SC Tyler N. Allen, Rong Ge
2021	—	`conf`	Relaxed Replication for Energy Efficient and Resilient GPU Computing. FTXS@SC Zheng Miao, Jon C. Calhoun, Rong Ge
2021	J	`jnl`	The Case for Cross-Component Power Coordination on Power Bounded Systems. IEEE Trans. Parallel Distributed Syst. Rong Ge, Xizhou Feng, Tyler N. Allen, Pengfei Zou
2020	A	`conf`	DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels. AsiaCCS Fei Ding, Hongda Li, Feng Luo, Hongxin Hu, Long Cheng, Hai Xiao, Rong Ge
2020	B	`conf`	Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines. ICPP Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2020	B	`conf`	Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems. CCGRID Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2019	—	`conf`	Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems. NAS Pengfei Zou, Xizhou Feng, Rong Ge
2019	—	`conf`	Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines. IISWC Pengfei Zou, Ang Li, Kevin J. Barker, Rong Ge
2019	A	`conf`	Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs. IPDPS Tyler N. Allen, Xizhou Feng, Rong Ge
2018	C	`conf`	Energy Analysis and Optimization for Resilient Scalable Linear Systems. CLUSTER Zheng Miao, Jon Calhoun, Rong Ge
2018	C	`conf`	Maximizing Throughput on Power-Bounded HPC Systems. CLUSTER Pengfei Zou, Derek Rodriguez, Rong Ge
2017	J	`jnl`	Accelerating big data analytics on HPC clusters using two-level storage. Parallel Comput. Pengfei Xuan, Walter B. Ligon III, Pradip K. Srimani, Rong Ge, Feng Luo
2017	B	`conf`	Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems. ICPP Rong Ge, Pengfei Zou, Xizhou Feng
2017	C	`conf`	CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems. CLUSTER Pengfei Zou, Tyler N. Allen, Claude H. Davis IV, Xizhou Feng, Rong Ge
2017	B	`conf`	Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems. CCGrid Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani
2017	J	`jnl`	Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics. Big Data Res. Ziliang Zong, Rong Ge, Qijun Gu
2017	J	`jnl`	Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems. Sci. Program. Zhihui Du, Rong Ge, Victor W. Lee, Richard W. Vuduc, David A. Bader, Ligang He
2016	—	`conf`	Characterizing Power and Performance of GPU Memory Access. E2SC@SC Tyler N. Allen, Rong Ge
2016	J	`jnl`	DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems. CoRR Pengfei Xuan, Feng Luo, Rong Ge, Pradip K. Srimani
2016	A	`conf`	GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. SC Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen
2016	B	`conf`	The Case for Cross-Component Power Coordination on Power Bounded Systems. ICPP Rong Ge, Xizhou Feng, Yangyang He, Pengfei Zou
2015	—	`conf`	Big data analytics on traditional HPC infrastructure using two-level storage. DISCS@SC Pengfei Xuan, Jeffrey Denton, Pradip K. Srimani, Rong Ge, Feng Luo
2015	—	`conf`	CRUSH: Data collection and analysis framework for power capped data intensive computing. IGSC Anurag Gupta, Sanjeev Gupta, Rong Ge, Ziliang Zong
2015	A	`conf`	Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing. IPDPS Li Tan, Shuaiwen Leon Song, Panruo Wu, Zizhong Chen, Rong Ge, Darren J. Kerbyson
2015	—	`conf`	Optimal balance between energy and performance in hybrid computing applications. IGSC Donna Lakomski, Ziliang Zong, Tongdan Jin, Rong Ge
2014	—	`conf`	Energy and Power Characterization of Parallel Programs Running on Intel Xeon Phi. ICPP Workshops Joal Wood, Ziliang Zong, Qijun Gu, Rong Ge
2014	Misc	`conf`	HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. ICCS Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li
2014	—	`conf`	PEACH: a model for performance and energy aware cooperative hybrid computing. Conf. Computing Frontiers Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong
2014	—	`conf`	Performance and Energy Modeling for Cooperative Hybrid Computing. NAS Rong Ge, Xizhou Feng, Martin Burtscher, Ziliang Zong
2013	J	`jnl`	3E: Energy-efficient elastic scheduling for independent tasks in heterogeneous computing systems. J. Syst. Softw. Xiaomin Zhu, Rong Ge, Jinguang Sun, Chuan He
2013	C	`conf`	A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. IPCCC Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
2013	B	`conf`	Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU. ICPP Rong Ge, Ryan Vogt, Jahangir Majumder, Arif Alam, Martin Burtscher, Ziliang Zong
2013	—	`conf`	Energy-Efficient Scheduling for Multicore Systems with Bounded Resources. GreenCom/iThings/CPScom Ziliang Zong, Jonathan Bush, Rong Ge, Xin Li, Zizhong Chen
2013	C	`conf`	Improving performance and energy efficiency of matrix multiplication via pipeline broadcast. CLUSTER Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
2013	—	`conf`	Power and energy characteristics of MapReduce data movements. IGCC Thomas Wirtz, Rong Ge, Ziliang Zong, Zizhong Chen
2013	C	`conf`	Using intelligent prefetching to reduce the energy consumption of a large-scale storage system. IPCCC Brian Romoser, Ziliang Zong, Ribel Fares, Joal Wood, Rong Ge
2012	—	`conf`	Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters. ICPP Workshops Longxiang Chen, Panruo Wu, Zizhong Chen, Rong Ge, Ziliang Zong
2012	—	`conf`	Energy consumption analysis of parallel sorting algorithms running on multicore systems. IGCC Ivan Zecena, Ziliang Zong, Rong Ge, Tongdan Jin, Zizhong Chen, Meikang Qiu
2012	J	`jnl`	Generalizing Amdahl's Law for Power and Energy. Computer Kirk W. Cameron, Rong Ge
2012	B	`conf`	SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware. CCGRID Rong Ge, Xizhou Feng, Xian-He Sun
2012	—	`conf`	eTune: A Power Analysis Framework for Data-Intensive Computing. ICPP Workshops Rong Ge, Xizhou Feng, Thomas Wirtz, Ziliang Zong, Zizhong Chen
2011	J	`jnl`	Boosting adaptivity of fault-tolerant scheduling for real-time tasks with service requirements on clusters. J. Syst. Softw. Xiaomin Zhu, Chuan He, Rong Ge, Peizhong Lu
2011	—	`conf`	HPPAC Introduction. IPDPS Workshops Rong Ge, Roberto Gioiosa
2011	—	`conf`	Improving MapReduce energy efficiency for computation intensive workloads. IGCC Thomas Wirtz, Rong Ge
2011	A	`conf`	Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation. IPDPS Shuaiwen Song, Chun-Yi Su, Rong Ge, Abhinav Vishnu, Kirk W. Cameron
2010	—	`conf`	Characterizing energy efficiency of I/O intensive parallel applications on power-aware clusters. IPDPS Workshops Rong Ge, Xizhou Feng, Sindhu Subramanya, Xian-He Sun
2010	J	`jnl`	PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications. IEEE Trans. Parallel Distributed Syst. Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron
2010	B	`conf`	System-Level, Unified In-band and Out-of-band Dynamic Thermal Control. ICPP Dong Li, Rong Ge, Kirk W. Cameron
2009	—	`conf`	A power aware study for VTDIRECT95 using DVFS. SpringSim Zhenwei Cao, Layne T. Watson, Kirk W. Cameron, Rong Ge
2009	J	`jnl`	Energy Profiling and Analysis of the HPC Challenge Benchmarks. Int. J. High Perform. Comput. Appl. Shuaiwen Song, Rong Ge, Xizhou Feng, Kirk W. Cameron
2009	A	`conf`	Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems. IPDPS Rong Ge, Xizhou Feng, Kirk W. Cameron
2008	J	`jnl`	Green Supercomputing Comes of Age. IT Prof. Wu-chun Feng, Xizhou Feng, Rong Ge
2008	J	`jnl`	Joint cluster analysis of attribute data and relationship data: The connected ACM Trans. Knowl. Discov. Data Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe
2007	B	`conf`	CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters. ICPP Rong Ge, Xizhou Feng, Wu-chun Feng, Kirk W. Cameron
2007	A*	`conf`	Constraint-driven clustering. KDD Rong Ge, Martin Ester, Wen Jin, Ian Davidson
2007	J	`jnl`	Designing Computational Clusters for Performance and Power. Adv. Comput. Kirk W. Cameron, Rong Ge, Xizhou Feng
2007	A*	`conf`	Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. KDD Flavia Moser, Rong Ge, Martin Ester
2007	A	`conf`	Power-Aware Speedup. IPDPS Rong Ge, Kirk W. Cameron
2007	J	`jnl`	log IEEE Trans. Computers Kirk W. Cameron, Rong Ge, Xian-He Sun
2006	B	`conf`	A Disc-based Approach to Data Summarization and Privacy Preservation. SSDBM Rong Ge, Martin Ester, Wen Jin, Zengjian Hu
2006	A	`conf`	Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SDM Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe
2006	B	`conf`	On Robust and Effective K-Anonymity in Large Databases. PAKDD Wen Jin, Rong Ge, Weining Qian
2006	J	`jnl`	The Argus prototype: aggregate use of load modules as a high-density supercomputer. Concurr. Comput. Pract. Exp. Xizhou Feng, Rong Ge, Kirk W. Cameron
2005	—	`conf`	ARGUS: Supercomputing in 1/10 Cubic Meter. Parallel and Distributed Computing and Networks Xizhou Feng, Rong Ge, Kirk W. Cameron
2005	J	`jnl`	High-Performance, Power-Aware Distributed Computing for Scientific Applications. Computer Kirk W. Cameron, Rong Ge, Xizhou Feng
2005	A	`conf`	Improvement of Power-Performance Efficiency for High-End Computing. IPDPS Rong Ge, Xizhou Feng, Kirk W. Cameron
2005	A	`conf`	Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters. SC Rong Ge, Xizhou Feng, Kirk W. Cameron
2005	A	`conf`	Power and Energy Profiling of Scientific Applications on Distributed Systems. IPDPS Xizhou Feng, Rong Ge, Kirk W. Cameron
2004	A*	`conf`	A microeconomic data mining problem: customer-oriented catalog segmentation. KDD Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
2004	A	`conf`	Predicting and Evaluating Distributed Communication Performance. SC Kirk W. Cameron, Rong Ge