Dong Li

132 papers A* 7A 30B 14C 5Misc 3Journal 48Unranked 24
YearRankTypeTitle / Venue / Authors
2025 J jnl
EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling.
CoRR
Xin Luo, Jiahao Wang, Chenyuan Wu, Shitao Xiao, Xiyan Jiang, Defu Lian, Jiajun Zhang, Dong Li, Zheng Liu
2025 — conf
LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control.
IPDPS (Workshops)
Jianbo Wu, Jie Ren, Shuangyan Yang, Konstantinos Parasyris, Giorgis Georgakoudis, Ignacio Laguna, Dong Li
2025 A* conf
Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory.
HPCA
Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2025 J jnl
Machine Learning-Guided Memory Optimization for DLRM Inference on Tiered Memory.
CoRR
Jie Ren, Bin Ma, Shuangyan Yang, Benjamin Francis, Ehsan K. Ardestani, Min Si, Dong Li
2025 J jnl
ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates.
CoRR
Tingfeng Lan, Yusen Wu, Bin Ma, Zhaoyuan Su, Rui Yang, Tekin Bicer, Dong Li, Yue Cheng
2025 A conf
cMPI: Using CXL Memory Sharing for MPI One-Sided and Two-Sided Inter-Node Communications.
SC
Xi Wang, Bin Ma, Jongryool Kim, Byungil Koh, Hoshik Kim, Dong Li
2025 A conf
mLR: Scalable Laminography Reconstruction based on Memoization.
SC
Bin Ma, Viktor Nikitin, Xi Wang, Tekin Bicer, Dong Li
2025 J jnl
mLR: Scalable Laminography Reconstruction based on Memoization.
CoRR
Bin Ma, Viktor Nikitin, Xi Wang, Tekin Bicer, Dong Li
2024 A* conf
Enabling Large Dynamic Neural Network Training with Learning-based Memory Management.
HPCA
Jie Ren, Dong Xu, Shuangyan Yang, Jiacheng Zhao, Zhicheng Li, Christian Navasca, Chenxi Wang, Guoqing Harry Xu, Dong Li
2024 J jnl
Exploring and Evaluating Real-world CXL: Use Cases and System Adoption.
CoRR
Jie Liu, Xi Wang, Jianbo Wu, Shuangyan Yang, Jie Ren, Bhanu Shankar, Dong Li
2024 — conf
FlexMem: Adaptive Page Profiling and Migration for Tiered Memory.
USENIX ATC
Dong Xu, Junhee Ryu, Kwangsik Shin, Pengfei Su, Dong Li
2024 A conf
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory.
EuroSys
Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li
2024 — conf
Performance Study of CXL Memory Topology.
MEMSYS
Jianbo Wu, Jie Liu, Gokcen Kestor, Roberto Gioiosa, Dong Li, Andres Marquez
2024 J jnl
Tuning Fast Memory Size based on Modeling of Page Migration for Tiered Memory.
CoRR
Shangye Chen, Jin Huang, Shuangyan Yang, Jie Liu, Huaicheng Li, Dimitrios S. Nikolopoulos, Junhee Ryu, Jinho Baek, Kwangsik Shin, Dong Li
2023 J jnl
A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation.
Parallel Comput.
Zeshi Liu, Zhen Xie, Wenqian Dong, Mengting Yuan, Haihang You, Dong Li
2023 A conf
Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications.
HPDC
Wenqian Dong, Gokcen Kestor, Dong Li
2023 — conf
Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning.
ASPLOS (2)
Shuangyan Yang, Minjia Zhang, Wenqian Dong, Dong Li
2023 J jnl
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems.
CoRR
Jie Ren, Dong Xu, Ivy Peng, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li
2023 B conf
Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness.
PPoPP
Zhen Xie, Jie Liu, Jiajia Li, Dong Li
2023 J jnl
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures.
IEEE Data Eng. Bull.
Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren
2022 — conf
Campo: Cost-Aware Performance Optimization for Mixed-Precision Neural Network Training.
USENIX ATC
Xin He, Jianhua Sun, Hao Chen, Dong Li
2022 B conf
LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications.
PPoPP
Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li
2022 — conf
Large Scale Caching and Streaming of Training Data for Online Deep Learning.
FlexScience@HPDC
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
2022 B conf
Lobster: Load Balance-Aware I/O for Distributed DNN Training.
ICPP
Jie Liu, Bogdan Nicolae, Dong Li
2022 J jnl
TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling.
ACM Trans. Archit. Code Optim.
Bang Di, Daokun Hu, Zhen Xie, Jianhua Sun, Hao Chen, Jinkui Ren, Dong Li
2021 A conf
ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory.
FAST
Kai Wu, Jie Ren, Ivy Bo Peng, Dong Li
2021 A conf
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory.
ICS
Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li
2021 J jnl
Efficient Buffer Overflow Detection on GPU.
IEEE Trans. Parallel Distributed Syst.
Bang Di, Jianhua Sun, Hao Chen, Dong Li
2021 A conf
Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators.
ICS
Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li
2021 A* conf
Fast, flexible, and comprehensive bug detection for persistent memory programs.
ASPLOS
Bang Di, Jiawen Liu, Hao Chen, Dong Li
2021 J jnl
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation.
Proc. VLDB Endow.
Jie Liu, Wenqian Dong, Dong Li, Qingqing Zhou
2021 Misc conf
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors.
SEC
Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li
2021 J jnl
MATCH: An MPI Fault Tolerance Benchmark Suite.
CoRR
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
2021 A conf
MD-HM: memoization-based molecular dynamics simulations on big memory system.
ICS
Zhen Xie, Wenqian Dong, Jie Liu, Ivy Bo Peng, Yanbao Ma, Dong Li
2021 J jnl
MOARD: Modeling Application Resilience to Transient Faults on Data Objects.
CoRR
Luanzheng Guo, Dong Li
2021 A conf
Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy.
ICS
Jie Ren, Jiaolin Luo, Ivy Bo Peng, Kai Wu, Dong Li
2021 J jnl
PARIS: Predicting application resilience using machine learning.
J. Parallel Distributed Comput.
Luanzheng Guo, Dong Li, Ignacio Laguna
2021 J jnl
Preface.
J. Comput. Sci. Technol.
Xian-He Sun, Dong Li, Wen-Guang Chen, Tao Li, Jiwu Shu, Bo Wu, Jin Xiong, Jinging Xue, Feng Zhang, Jidong Zhai, Zhiia Zhao
2021 A* conf
Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning.
HPCA
Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Hyeran Jeon, Dong Li
2021 B conf
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory.
PPoPP
Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li
2021 J jnl
TRUST: Triangle Counting Reloaded on GPUs.
CoRR
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
2021 A conf
Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU.
EuroSys
Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li
2021 J jnl
Trust: Triangle Counting Reloaded on GPUs.
IEEE Trans. Parallel Distributed Syst.
Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu
2021 J jnl
Unimem: Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Main Memory for High Performance Computing.
J. Comput. Sci. Technol.
Kai Wu, Dong Li
2021 — conf
ZeRO-Offload: Democratizing Billion-Scale Model Training.
USENIX ATC
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He
2021 J jnl
ZeRO-Offload: Democratizing Billion-Scale Model Training.
CoRR
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He
2020 J jnl
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation.
CoRR
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
2020 A conf
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems.
IPDPS
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
2020 J jnl
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems.
CoRR
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
2020 J jnl
Exploration on Routing Configuration of HNoC With Intelligent On-Chip Resource Management.
IEEE Access
Juan Fang, Zeqing Chang, Dong Li
2020 C conf
Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures.
CLUSTER
Jie Ren, Kai Wu, Dong Li
2020 J jnl
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors.
CoRR
Jie Liu, Jiawen Liu, Zhen Xie, Dong Li
2020 A* conf
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory.
NeurIPS
Jie Ren, Minjia Zhang, Dong Li
2020 — conf
MATCH: An MPI Fault Tolerance Benchmark Suite.
IISWC
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
2020 — conf
RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices.
OpML
Jiawen Liu, Zhen Xie, Dimitrios S. Nikolopoulos, Dong Li
2020 B conf
Ribbon: High Performance Cache Line Flushing for Persistent Memory.
PACT
Kai Wu, Ivy Bo Peng, Jie Ren, Dong Li
2020 J jnl
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation.
CoRR
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
2020 A conf
Smart-PGSim: using neural network to accelerate AC-OPF power grid simulation.
SC
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
2019 A conf
Adaptive neural network-based approximation to accelerate eulerian fluid simulation.
SC
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
2019 J jnl
Architecture-Aware, High Performance Transaction for Persistent Memory.
CoRR
Kai Wu, Jie Ren, Dong Li
2019 J jnl
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures.
CoRR
Jie Ren, Kai Wu, Dong Li
2019 A conf
MOARD: Modeling Application Resilience to Transient Faults on Data Objects.
IPDPS
Luanzheng Guo, Dong Li
2019 — conf
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity.
IPDPS Workshops
Jie Ren, Chunhua Liao, Dong Li
2019 B conf
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device.
ICPADS
Jie Liu, Jiawen Liu, Wan Du, Dong Li
2019 J jnl
Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2.
CoRR
Jie Liu, Jiawen Liu, Wan Du, Dong Li
2019 A conf
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training.
IPDPS
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
2019 J jnl
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning.
CoRR
Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Dong Li
2019 — conf
UMap: Enabling Application-driven Optimizations for Page Management.
MCHPC@SC
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
2019 J jnl
UMap: Enabling Application-driven Optimizations for Page Management.
CoRR
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
2018 J jnl
A Preliminary Study of Neural Network-based Approximation for HPC Applications.
CoRR
Wenqian Dong, Luanzheng Guo, Dong Li
2018 J jnl
Characterization and Comparison of Application Resilience for Serial and Parallel Executions.
CoRR
Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li
2018 J jnl
FlipTracker: Understanding Natural Error Resilience in HPC Applications.
CoRR
Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz
2018 A conf
FlipTracker: understanding natural error resilience in HPC applications.
SC
Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz
2018 B conf
GMOD: a dynamic GPU memory overflow detector.
PACT
Bang Di, Jianhua Sun, Dong Li, Hao Chen, Zhe Quan
2018 B conf
Modeling Application Resilience in Large-scale Parallel Execution.
ICPP
Kai Wu, Wenqian Dong, Qiang Guan, Nathan DeBardeleben, Dong Li
2018 J jnl
PARIS: Predicting Application Resilience Using Machine Learning.
CoRR
Luanzheng Guo, Dong Li, Ignacio Laguna
2018 A* conf
Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach.
MICRO
Jiawen Liu, Hengyu Zhao, Matheus A. Ogleari, Dong Li, Jishen Zhao
2018 J jnl
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training.
CoRR
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
2018 A conf
Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs.
SC
Kai Wu, Jie Ren, Dong Li
2018 — conf
Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory.
MCHPC@SC
Jie Ren, Kai Wu, Dong Li
2017 J jnl
Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPC.
CoRR
Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai
2017 C conf
Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC.
CLUSTER
Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai
2017 J jnl
Application-Level Resilience Modeling for HPC Fault Tolerance.
CoRR
Luanzheng Guo, Hanlin He, Dong Li
2017 J jnl
Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads.
CoRR
Kai Wu, Frank Ober, Shari Hamlin, Dong Li
2017 B conf
Exploring Synchronization in Cache Coherent Manycore Systems: A Case Study with Xeon Phi.
ICPADS
Xin He, Zhiwen Chen, Jianhua Sun, Hao Chen, Dong Li, Zhe Quan
2017 J jnl
High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing.
CoRR
Yingchao Huang, Kai Wu, Dong Li
2017 J jnl
Optimizing Data Placement on GPU Memory: A Portable Approach.
IEEE Trans. Computers
Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li
2017 — conf
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory.
NAS
Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li
2017 J jnl
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory.
CoRR
Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li
2017 J jnl
Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory.
CoRR
Kai Wu, Yingchao Huang, Dong Li
2017 A conf
Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory.
SC
Kai Wu, Yingchao Huang, Dong Li
2016 A conf
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory.
HPDC
Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal
2016 — conf
Integrated Thermal Analysis for Processing In Die-Stacking Memory.
MEMSYS
Yuxiong Zhu, Borui Wang, Dong Li, Jishen Zhao
2016 — conf
Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications.
ICPP Workshops
Borui Wang, Martin Torres, Dong Li, Jishen Zhao, Florin Rusu
2015 J jnl
A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches.
IEEE Trans. Parallel Distributed Syst.
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
2015 A conf
DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches.
DATE
Matt Poremba, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, Yuan Xie
2015 J jnl
Enabling Portable Optimizations of Data Placement on GPU.
IEEE Micro
Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen
2015 A conf
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations.
ICS
Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter
2015 C conf
Fast Fault Injection and Sensitivity Analysis for Collective Communications.
CLUSTER
Kun Feng, Manjunath Gorentla Venkata, Dong Li, Xian-He Sun
2014 — conf
Application characterization using Oxbow toolkit and PADS infrastructure.
Co-HPC@SC
Sarat Sreepathi, M. L. Grodowitz, Robert V. Lim, Philip Taffet, Philip C. Roth, Jeremy S. Meredith, Seyong Lee, Dong Li, Jeffrey S. Vetter
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 A conf
Improving energy efficiency of embedded DRAM caches for high-end computing systems.
HPDC
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
2014 A conf
Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing.
IPDPS
Seyong Lee, Dong Li, Jeffrey S. Vetter
2014 — conf
LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches.
ISVLSI
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
2014 A* conf
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU.
MICRO
Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen
2014 A conf
Quantitatively Modeling Application Resilience with the Data Vulnerability Factor.
SC
Li Yu, Dong Li, Sparsh Mittal, Jeffrey S. Vetter
2014 B conf
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling.
PACT
Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter
2014 — conf
WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling.
ACM Great Lakes Symposium on VLSI
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
2013 B conf
A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory.
MASCOTS
Bin Wang, Yizheng Jiao, Weikuan Yu, Xipeng Shen, Dong Li, Jeffrey S. Vetter
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 — conf
Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection.
Euro-Par Workshops
Dong Li, Seyong Lee, Jeffrey S. Vetter
2013 B conf
Exploring hybrid memory for GPU energy efficiency through software-hardware co-design.
PACT
Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey S. Vetter
2013 — conf
HPPAC Introduction.
IPDPS Workshops
Bronis R. de Supinski, Dong Li
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
Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications.
PMBS@SC
Jeffrey S. Vetter, Seyong Lee, Dong Li, Gabriel Marin, Collin McCurdy, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford
2013 A conf
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach.
SC
Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter
2013 J jnl
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models.
IEEE Trans. Parallel Distributed Syst.
Dong Li, Bronis R. de Supinski, Martin Schulz, Dimitrios S. Nikolopoulos, Kirk W. Cameron
2012 A conf
Classifying soft error vulnerabilities in extreme-scale scientific applications using a binary instrumentation tool.
SC
Dong Li, Jeffrey S. Vetter, Weikuan Yu
2012 J jnl
Critical path-based thread placement for NUMA systems.
SIGMETRICS Perform. Evaluation Rev.
Chun-Yi Su, Dong Li, Dimitrios S. Nikolopoulos, Matthew Grove, Kirk W. Cameron, Bronis R. de Supinski
2012 A conf
Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications.
IPDPS
Dong Li, Jeffrey S. Vetter, Gabriel Marin, Collin McCurdy, Cristian Cira, Zhuo Liu, Weikuan Yu
2012 — conf
Model-based, memory-centric performance and power optimization on NUMA multiprocessors.
IISWC
Chun-Yi Su, Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Edgar A. León
2012 B conf
PCM-Based Durable Write Cache for Fast Disk I/O.
MASCOTS
Zhuo Liu, Bin Wang, Patrick Carpenter, Dong Li, Jeffrey S. Vetter, Weikuan Yu
2012 — conf
The tradeoffs of fused memory hierarchies in heterogeneous computing architectures.
Conf. Computing Frontiers
Kyle Spafford, Jeremy S. Meredith, Seyong Lee, Dong Li, Philip C. Roth, Jeffrey S. Vetter
2011 — —
Scalable and Energy Efficient Execution Methods for Multicore Systems.
Dong Li
2011 — conf
Scalable memory registration for high performance networks using helper threads.
Conf. Computing Frontiers
Dong Li, Kirk W. Cameron, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz
2010 A conf
Hybrid MPI/OpenMP power-aware computing.
IPDPS
Dong Li, Bronis R. de Supinski, Martin Schulz, Kirk W. Cameron, Dimitrios S. Nikolopoulos
2010 J jnl
Power saving experiments for large-scale global optimisation.
Int. J. Parallel Emergent Distributed Syst.
Zhenwei Cao, David R. Easterling, Layne T. Watson, Dong Li, Kirk W. Cameron, Wu-chun Feng
2010 A conf
Power-aware MPI task aggregation prediction for high-end computing systems.
IPDPS
Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Martin Schulz
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
2008 Misc conf
CG-Cell: An NPB Benchmark Implementation on Cell Broadband Engine.
ICDCN
Dong Li, Song Huang, Kirk W. Cameron
2008 A conf
System-level, thermal-aware, fully-loaded process scheduling.
IPDPS
Dong Li, Hung-Ching Chang, Hari K. Pyla, Kirk W. Cameron