Rong Ge

Orcid: 0000-0002-2218-3675

Affiliations:
  • Clemson University, School of Computing, SC, USA


According to our database1, Rong Ge authored at least 79 papers between 2004 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fine-grain Quantitative Analysis of Demand Paging in Unified Virtual Memory.
ACM Trans. Archit. Code Optim., March, 2024

Shared Virtual Memory: Its Design and Performance Implications for Diverse Applications.
Proceedings of the 38th ACM International Conference on Supercomputing, 2024

2023
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition.
ACM Trans. Parallel Comput., June, 2023

The Paradigm of Power Bounded High-Performance Computing.
J. Comput. Sci. Technol., February, 2023

Transfer-learning-based Autotuning using Gaussian Copula.
Proceedings of the 37th International Conference on Supercomputing, 2023

TunneLs for Bootlegging: Fully Reverse-Engineering GPU TLBs for Challenging Isolation Guarantees of NVIDIA MIG.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021
The Case for Cross-Component Power Coordination on Power Bounded Systems.
IEEE Trans. Parallel Distributed Syst., 2021

In-depth analyses of unified virtual memory system for GPU accelerated computing.
Proceedings of the International Conference for High Performance Computing, 2021

Demystifying GPU UVM Cost with Deep Runtime and Workload Analysis.
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

FULL-W2V: fully exploiting data reuse for W2V on GPU-accelerated systems.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

Relaxed Replication for Energy Efficient and Resilient GPU Computing.
Proceedings of the 11th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2021

2020
Detecting Anomalous Computation with RNNs on GPU-Accelerated HPC Machines.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

DeepPower: Non-intrusive and Deep Learning-based Detection of IoT Malware Using Power Side Channels.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

Indicator-Directed Dynamic Power Management for Iterative Workloads on GPU-Accelerated Systems.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
Contention Aware Workload and Resource Co-Scheduling on Power-Bounded Systems.
Proceedings of the 2019 IEEE International Conference on Networking, 2019

Slate: Enabling Workload-Aware Efficient Multiprocessing for Modern GPGPUs.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Fingerprinting Anomalous Computation with RNN for GPU-accelerated HPC Machines.
Proceedings of the IEEE International Symposium on Workload Characterization, 2019

2018
Maximizing Throughput on Power-Bounded HPC Systems.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

Energy Analysis and Optimization for Resilient Scalable Linear Systems.
Proceedings of the IEEE International Conference on Cluster Computing, 2018

2017
Modeling the Power Variability of Core Speed Scaling on Homogeneous Multicore Systems.
Sci. Program., 2017

Accelerating big data analytics on HPC clusters using two-level storage.
Parallel Comput., 2017

Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics.
Big Data Res., 2017

Application-Aware Power Coordination on Power Bounded NUMA Multicore Systems.
Proceedings of the 46th International Conference on Parallel Processing, 2017

CLIP: Cluster-Level Intelligent Power Coordination for Power-Bounded Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Dynamic Management of In-memory Storage for Efficiently Integrating Compute- and Data-intensive Computing on HPC Systems.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

2016
DynIMS: A Dynamic Memory Controller for In-memory Storage on HPC Systems.
CoRR, 2016

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.
Proceedings of the International Conference for High Performance Computing, 2016

Characterizing Power and Performance of GPU Memory Access.
Proceedings of the 4th International Workshop on Energy Efficient Supercomputing, 2016

The Case for Cross-Component Power Coordination on Power Bounded Systems.
Proceedings of the 45th International Conference on Parallel Processing, 2016

2015
Big data analytics on traditional HPC infrastructure using two-level storage.
Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems, 2015

Investigating the Interplay between Energy Efficiency and Resilience in High Performance Computing.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015

Optimal balance between energy and performance in hybrid computing applications.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

CRUSH: Data collection and analysis framework for power capped data intensive computing.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

2014
Performance and Energy Modeling for Cooperative Hybrid Computing.
Proceedings of the 9th IEEE International Conference on Networking, 2014

Energy and Power Characterization of Parallel Programs Running on Intel Xeon Phi.
Proceedings of the 43rd International Conference on Parallel Processing Workshops, 2014

HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON.
Proceedings of the International Conference on Computational Science, 2014

PEACH: a model for performance and energy aware cooperative hybrid computing.
Proceedings of the Computing Frontiers Conference, CF'14, 2014

2013
3E: Energy-efficient elastic scheduling for independent tasks in heterogeneous computing systems.
J. Syst. Softw., 2013

A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications.
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013

Using intelligent prefetching to reduce the energy consumption of a large-scale storage system.
Proceedings of the IEEE 32nd International Performance Computing and Communications Conference, 2013

Effects of Dynamic Voltage and Frequency Scaling on a K20 GPU.
Proceedings of the 42nd International Conference on Parallel Processing, 2013

Energy-Efficient Scheduling for Multicore Systems with Bounded Resources.
Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

Power and energy characteristics of MapReduce data movements.
Proceedings of the International Green Computing Conference, 2013

Improving performance and energy efficiency of matrix multiplication via pipeline broadcast.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
Generalizing Amdahl's Law for Power and Energy.
Computer, 2012

eTune: A Power Analysis Framework for Data-Intensive Computing.
Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Energy Efficient Parallel Matrix-Matrix Multiplication for DVFS-enabled Clusters.
Proceedings of the 41st International Conference on Parallel Processing Workshops, 2012

Energy consumption analysis of parallel sorting algorithms running on multicore systems.
Proceedings of the 2012 International Green Computing Conference, 2012

SERA-IO: Integrating Energy Consciousness into Parallel I/O Middleware.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

2011
Boosting adaptivity of fault-tolerant scheduling for real-time tasks with service requirements on clusters.
J. Syst. Softw., 2011

Iso-Energy-Efficiency: An Approach to Power-Constrained Parallel Computation.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

HPPAC Introduction.
Proceedings of the 25th IEEE International Symposium on Parallel and Distributed Processing, 2011

Improving MapReduce energy efficiency for computation intensive workloads.
Proceedings of the 2011 International Green Computing Conference and Workshops, 2011

2010
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications.
IEEE Trans. Parallel Distributed Syst., 2010

Characterizing energy efficiency of I/O intensive parallel applications on power-aware clusters.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

System-Level, Unified In-band and Out-of-band Dynamic Thermal Control.
Proceedings of the 39th International Conference on Parallel Processing, 2010

2009
Energy Profiling and Analysis of the HPC Challenge Benchmarks.
Int. J. High Perform. Comput. Appl., 2009

A power aware study for VTDIRECT95 using DVFS.
Proceedings of the 2009 Spring Simulation Multiconference, SpringSim 2009, 2009

Modeling and evaluating energy-performance efficiency of parallel processing on multicore based power aware systems.
Proceedings of the 23rd IEEE International Symposium on Parallel and Distributed Processing, 2009

2008
Joint cluster analysis of attribute data and relationship data: The connected <i>k</i>-center problem, algorithms and applications.
ACM Trans. Knowl. Discov. Data, 2008

Green Supercomputing Comes of Age.
IT Prof., 2008

2007
log<sub>n</sub>P and log<sub>3</sub>P: Accurate Analytical Models of Point-to-Point Communication in Distributed Systems.
IEEE Trans. Computers, 2007

Designing Computational Clusters for Performance and Power.
Adv. Comput., 2007

Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Constraint-driven clustering.
Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Power-Aware Speedup.
Proceedings of the 21th International Parallel and Distributed Processing Symposium (IPDPS 2007), 2007

CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters.
Proceedings of the 2007 International Conference on Parallel Processing (ICPP 2007), 2007

2006
The Argus prototype: aggregate use of load modules as a high-density supercomputer.
Concurr. Comput. Pract. Exp., 2006

A Disc-based Approach to Data Summarization and Privacy Preservation.
Proceedings of the 18th International Conference on Scientific and Statistical Database Management, 2006

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

On Robust and Effective K-Anonymity in Large Databases.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2006

2005
High-Performance, Power-Aware Distributed Computing for Scientific Applications.
Computer, 2005

Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters.
Proceedings of the ACM/IEEE SC2005 Conference on High Performance Networking and Computing, 2005

ARGUS: Supercomputing in 1/10 Cubic Meter.
Proceedings of the IASTED International Conference on Parallel and Distributed Computing and Networks, 2005

Improvement of Power-Performance Efficiency for High-End Computing.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

Power and Energy Profiling of Scientific Applications on Distributed Systems.
Proceedings of the 19th International Parallel and Distributed Processing Symposium (IPDPS 2005), 2005

2004
Predicting and Evaluating Distributed Communication Performance.
Proceedings of the ACM/IEEE SC2004 Conference on High Performance Networking and Computing, 2004

A microeconomic data mining problem: customer-oriented catalog segmentation.
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004


  Loading...