CG-Cell: An NPB Benchmark Implementation on Cell Broadband Engine. - Dong Li 001; Song Huang; Kirk W. Cameron (ICDCN, 2008)

System-level, thermal-aware, fully-loaded process scheduling. - Dong Li 001; Hung-Ching Chang; Hari K. Pyla; Kirk W. Cameron (IPDPS, 2008)

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

Power-aware MPI task aggregation prediction for high-end computing systems. - Dong Li 001; Dimitrios S. Nikolopoulos; Kirk W. Cameron; Bronis R. de Supinski; Martin Schulz 001 (IPDPS, 2010)

Hybrid MPI/OpenMP power-aware computing. - Dong Li 001; Bronis R. de Supinski; Martin Schulz 001; Kirk W. Cameron; Dimitrios S. Nikolopoulos (IPDPS, 2010)

Power saving experiments for large-scale global optimisation. - Zhenwei Cao; David R. Easterling; Layne T. Watson; Dong Li 001; Kirk W. Cameron; Wu-chun Feng (Int. J. Parallel Emergent Distributed Syst., 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)

Scalable memory registration for high performance networks using helper threads. - Dong Li 001; Kirk W. Cameron; Dimitrios S. Nikolopoulos; Bronis R. de Supinski; Martin Schulz 001 (Conf. Computing Frontiers, 2011)

Scalable and Energy Efficient Execution Methods for Multicore Systems. - Dong Li 001 (2011)

The tradeoffs of fused memory hierarchies in heterogeneous computing architectures. - Kyle Spafford; Jeremy S. Meredith; Seyong Lee; Dong Li 001; Philip C. Roth; Jeffrey S. Vetter (Conf. Computing Frontiers, 2012)

Model-based, memory-centric performance and power optimization on NUMA multiprocessors. - Chun-Yi Su; Dong Li 001; Dimitrios S. Nikolopoulos; Kirk W. Cameron; Bronis R. de Supinski; Edgar A. León (IISWC, 2012)

Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications. - Dong Li 001; Jeffrey S. Vetter; Gabriel Marin; Collin McCurdy; Cristian Cira; Zhuo Liu; Weikuan Yu (IPDPS, 2012)

PCM-Based Durable Write Cache for Fast Disk I/O. - Zhuo Liu; Bin Wang 019; Patrick Carpenter; Dong Li 001; Jeffrey S. Vetter; Weikuan Yu (MASCOTS, 2012)

Classifying soft error vulnerabilities in extreme-scale scientific applications using a binary instrumentation tool. - Dong Li 001; Jeffrey S. Vetter; Weikuan Yu (SC, 2012)

Critical path-based thread placement for NUMA systems. - Chun-Yi Su; Dong Li 001; Dimitrios S. Nikolopoulos; Matthew Grove; Kirk W. Cameron; Bronis R. de Supinski (SIGMETRICS Perform. Evaluation Rev., 2012)

Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. - Bin Wang 019; Bo Wu 002; Dong Li 001; Xipeng Shen; Weikuan Yu; Yizheng Jiao; Jeffrey S. Vetter (PACT, 2013)

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)

Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection. - Dong Li 001; Seyong Lee; Jeffrey S. Vetter (Euro-Par Workshops, 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)

HPPAC Introduction. - Bronis R. de Supinski; Dong Li 001 (IPDPS Workshops, 2013)

A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory. - Bin Wang 019; Yizheng Jiao; Weikuan Yu; Xipeng Shen; Dong Li 001; Jeffrey S. Vetter (MASCOTS, 2013)

Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach. - Dong Li 001; Zizhong Chen; Panruo Wu; Jeffrey S. Vetter (SC, 2013)

Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications. - Jeffrey S. Vetter; Seyong Lee; Dong Li 001; Gabriel Marin; Collin McCurdy; Jeremy S. Meredith; Philip C. Roth; Kyle Spafford (PMBS@SC, 2013)

Strategies for Energy-Efficient Resource Management of Hybrid Programming Models. - Dong Li 001; Bronis R. de Supinski; Martin Schulz 001; Dimitrios S. Nikolopoulos; Kirk W. Cameron (IEEE Trans. Parallel Distributed Syst., 2013)

SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. - Bo Wu 002; Guoyang Chen; Dong Li 001; Xipeng Shen; Jeffrey S. Vetter (PACT, 2014)

WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling. - Sparsh Mittal; Jeffrey S. Vetter; Dong Li 001 (ACM Great Lakes Symposium on VLSI, 2014)

Improving energy efficiency of embedded DRAM caches for high-end computing systems. - Sparsh Mittal; Jeffrey S. Vetter; Dong Li 001 (HPDC, 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)

Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing. - Seyong Lee; Dong Li 001; Jeffrey S. Vetter (IPDPS, 2014)

LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches. - Sparsh Mittal; Jeffrey S. Vetter; Dong Li 001 (ISVLSI, 2014)

PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. - Guoyang Chen; Bo Wu 002; Dong Li 001; Xipeng Shen (MICRO, 2014)

Application characterization using Oxbow toolkit and PADS infrastructure. - Sarat Sreepathi; M. L. Grodowitz; Robert V. Lim; Philip Taffet; Philip C. Roth; Jeremy S. Meredith; Seyong Lee; Dong Li 001; Jeffrey S. Vetter (Co-HPC@SC, 2014)

Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. - Li Yu 006; Dong Li 001; Sparsh Mittal; Jeffrey S. Vetter (SC, 2014)

Fast Fault Injection and Sensitivity Analysis for Collective Communications. - Kun Feng; Manjunath Gorentla Venkata; Dong Li 001; Xian-He Sun (CLUSTER, 2015)

DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. - Matt Poremba; Sparsh Mittal; Dong Li 001; Jeffrey S. Vetter; Yuan Xie 001 (DATE, 2015)

Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. - Bo Wu 002; Guoyang Chen; Dong Li 001; Xipeng Shen; Jeffrey S. Vetter (ICS, 2015)

Enabling Portable Optimizations of Data Placement on GPU. - Guoyang Chen; Bo Wu 002; Dong Li 001; Xipeng Shen (IEEE Micro, 2015)

A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches. - Sparsh Mittal; Jeffrey S. Vetter; Dong Li 001 (IEEE Trans. Parallel Distributed Syst., 2015)

Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. - Panruo Wu; Dong Li 001; Zizhong Chen; Jeffrey S. Vetter; Sparsh Mittal (HPDC, 2016)

Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications. - Borui Wang; Martin Torres; Dong Li 001; Jishen Zhao; Florin Rusu (ICPP Workshops, 2016)

Integrated Thermal Analysis for Processing In Die-Stacking Memory. - Yuxiong Zhu; Borui Wang; Dong Li 001; Jishen Zhao (MEMSYS, 2016)

Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC. - Shuo Yang; Kai Wu 006; Yifan Qiao; Dong Li 001; Jidong Zhai (CLUSTER, 2017)

Exploring Synchronization in Cache Coherent Manycore Systems: A Case Study with Xeon Phi. - Xin He; Zhiwen Chen 006; Jianhua Sun 002; Hao Chen 002; Dong Li 001; Zhe Quan (ICPADS, 2017)

Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory. - Wei Liu; Kai Wu 006; Jialin Liu 004; Feng Chen; Dong Li 001 (NAS, 2017)

Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory. - Kai Wu 006; Yingchao Huang; Dong Li 001 (SC, 2017)

Application-Level Resilience Modeling for HPC Fault Tolerance. - Luanzheng Guo; Hanlin He; Dong Li 001 (CoRR, 2017)

High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing. - Yingchao Huang; Kai Wu 006; Dong Li 001 (CoRR, 2017)

Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory. - Kai Wu 006; Yingchao Huang; Dong Li 001 (CoRR, 2017)

Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads. - Kai Wu 006; Frank Ober; Shari Hamlin; Dong Li 001 (CoRR, 2017)

Optimizing Data Placement on GPU Memory: A Portable Approach. - Guoyang Chen; Xipeng Shen; Bo Wu 002; Dong Li 001 (IEEE Trans. Computers, 2017)

GMOD: a dynamic GPU memory overflow detector. - Bang Di; Jianhua Sun 002; Dong Li 001; Hao Chen 002; Zhe Quan (PACT, 2018)

Modeling Application Resilience in Large-scale Parallel Execution. - Kai Wu 006; Wenqian Dong; Qiang Guan; Nathan DeBardeleben; Dong Li 001 (ICPP, 2018)

Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach. - Jiawen Liu; Hengyu Zhao; Matheus A. Ogleari; Dong Li 001; Jishen Zhao (MICRO, 2018)

FlipTracker: understanding natural error resilience in HPC applications. - Luanzheng Guo; Dong Li 001; Ignacio Laguna; Martin Schulz 001 (SC, 2018)

Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. - Jie Ren 015; Kai Wu 006; Dong Li 001 (MCHPC@SC, 2018)

Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. - Kai Wu 006; Jie Ren 015; Dong Li 001 (SC, 2018)

Characterization and Comparison of Application Resilience for Serial and Parallel Executions. - Kai Wu 006; Qiang Guan; Nathan DeBardeleben; Dong Li 001 (CoRR, 2018)

A Preliminary Study of Neural Network-based Approximation for HPC Applications. - Wenqian Dong; Luanzheng Guo; Dong Li 001 (CoRR, 2018)

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device. - Jie Liu; Jiawen Liu; Wan Du; Dong Li 001 (ICPADS, 2019)

MOARD: Modeling Application Resilience to Transient Faults on Data Objects. - Luanzheng Guo; Dong Li 001 (IPDPS, 2019)

Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. - Jiawen Liu; Dong Li 001; Gokcen Kestor; Jeffrey S. Vetter (IPDPS, 2019)

Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. - Jie Ren 015; Chunhua Liao; Dong Li 001 (IPDPS Workshops, 2019)

Adaptive neural network-based approximation to accelerate eulerian fluid simulation. - Wenqian Dong; Jie Liu; Zhen Xie; Dong Li 001 (SC, 2019)

UMap: Enabling Application-driven Optimizations for Page Management. - Ivy Bo Peng; Marty McFadden; Eric W. Green; Keita Iwabuchi; Kai Wu 006; Dong Li 001; Roger Pearce; Maya B. Gokhale (MCHPC@SC, 2019)

Architecture-Aware, High Performance Transaction for Persistent Memory. - Kai Wu 006; Jie Ren 015; Dong Li 001 (CoRR, 2019)

Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2. - Jie Liu; Jiawen Liu; Wan Du; Dong Li 001 (CoRR, 2019)

EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. - Jie Ren 015; Kai Wu 006; Dong Li 001 (CoRR, 2019)

Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. - Jie Ren 015; Jiaolin Luo; Kai Wu 006; Minjia Zhang; Dong Li 001 (CoRR, 2019)

Ribbon: High Performance Cache Line Flushing for Persistent Memory. - Kai Wu 006; Ivy Bo Peng; Jie Ren 015; Dong Li 001 (PACT, 2020)

Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. - Jie Ren 015; Kai Wu 006; Dong Li 001 (CLUSTER, 2020)

MATCH: An MPI Fault Tolerance Benchmark Suite. - Luanzheng Guo; Giorgis Georgakoudis; Konstantinos Parasyris; Ignacio Laguna; Dong Li 001 (IISWC, 2020)

Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. - Ivy Bo Peng; Kai Wu 006; Jie Ren 015; Dong Li 001; Maya B. Gokhale (IPDPS, 2020)

HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. - Jie Ren 015; Minjia Zhang; Dong Li 001 (NeurIPS, 2020)

RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices. - Jiawen Liu; Zhen Xie; Dimitrios S. Nikolopoulos; Dong Li 001 (OpML, 2020)

Smart-PGSim: using neural network to accelerate AC-OPF power grid simulation. - Wenqian Dong; Zhen Xie; Gokcen Kestor; Dong Li 001 (SC, 2020)

Exploration on Routing Configuration of HNoC With Intelligent On-Chip Resource Management. - Juan Fang; Zeqing Chang; Dong Li 001 (IEEE Access, 2020)

FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. - Jie Liu; Jiawen Liu; Zhen Xie; Dong Li 001 (CoRR, 2020)

Fast, flexible, and comprehensive bug detection for persistent memory programs. - Bang Di; Jiawen Liu; Hao Chen 002; Dong Li 001 (ASPLOS, 2021)

Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU. - Zhen Xie; Wenqian Dong; Jiawen Liu; Hang Liu 001; Dong Li 001 (EuroSys, 2021)

ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. - Kai Wu 006; Jie Ren 015; Ivy Bo Peng; Dong Li 001 (FAST, 2021)

Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning. - Jie Ren 015; Jiaolin Luo; Kai Wu 006; Minjia Zhang; Hyeran Jeon; Dong Li 001 (HPCA, 2021)

Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. - Xin He; Jiawen Liu; Zhen Xie; Hao Chen 002; Guoyang Chen; Weifeng Zhang 003; Dong Li 001 (ICS, 2021)

Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. - Jiawen Liu; Dong Li 001; Roberto Gioiosa; Jiajia Li 001 (ICS, 2021)

Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. - Jie Ren 015; Jiaolin Luo; Ivy Bo Peng; Kai Wu 006; Dong Li 001 (ICS, 2021)

MD-HM: memoization-based molecular dynamics simulations on big memory system. - Zhen Xie; Wenqian Dong; Jie Liu; Ivy Bo Peng; Yanbao Ma; Dong Li 001 (ICS, 2021)

Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors. - Jie Liu; Jiawen Liu; Zhen Xie; Xia Ning; Dong Li 001 (SEC, 2021)

Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. - Jiawen Liu; Jie Ren 015; Roberto Gioiosa; Dong Li 001; Jiajia Li 001 (PPoPP, 2021)

ZeRO-Offload: Democratizing Billion-Scale Model Training. - Jie Ren 015; Samyam Rajbhandari; Reza Yazdani Aminabadi; Olatunji Ruwase; Shuangyan Yang; Minjia Zhang; Dong Li 001; Yuxiong He (USENIX ATC, 2021)

Preface. - Xian-He Sun; Dong Li 001; Wen-Guang Chen; Tao Li 006; Jiwu Shu; Bo Wu 002; Jin Xiong; Jinging Xue; Feng Zhang 007; Jidong Zhai; Zhiia Zhao (J. Comput. Sci. Technol., 2021)

Unimem: Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Main Memory for High Performance Computing. - Kai Wu 006; Dong Li 001 (J. Comput. Sci. Technol., 2021)

PARIS: Predicting application resilience using machine learning. - Luanzheng Guo; Dong Li 001; Ignacio Laguna (J. Parallel Distributed Comput., 2021)

Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation. - Jie Liu; Wenqian Dong; Dong Li 001; Qingqing Zhou (Proc. VLDB Endow., 2021)

Efficient Buffer Overflow Detection on GPU. - Bang Di; Jianhua Sun 002; Hao Chen 002; Dong Li 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Trust: Triangle Counting Reloaded on GPUs. - Santosh Pandey; Zhibin Wang 002; Sheng Zhong 002; Chen Tian 001; Bolong Zheng; Xiaoye S. Li; Lingda Li; Adolfy Hoisie; Caiwen Ding; Dong Li 001; Hang Liu 001 (IEEE Trans. Parallel Distributed Syst., 2021)

Large Scale Caching and Streaming of Training Data for Online Deep Learning. - Jie Liu; Bogdan Nicolae; Dong Li 001; Justin M. Wozniak; Tekin Bicer; Zhengchun Liu; Ian T. Foster (FlexScience@HPDC, 2022)

Lobster: Load Balance-Aware I/O for Distributed DNN Training. - Jie Liu; Bogdan Nicolae; Dong Li 001 (ICPP, 2022)

LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications. - Zhen Xie; Jie Liu; Sam Ma 001; Jiajia Li 001; Dong Li 001 (PPoPP, 2022)

Campo: Cost-Aware Performance Optimization for Mixed-Precision Neural Network Training. - Xin He; Jianhua Sun 002; Hao Chen 002; Dong Li 001 (USENIX ATC, 2022)

TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling. - Bang Di; Daokun Hu; Zhen Xie; Jianhua Sun 002; Hao Chen 002; Jinkui Ren; Dong Li 001 (ACM Trans. Archit. Code Optim., 2022)

Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning. - Shuangyan Yang; Minjia Zhang; Wenqian Dong; Dong Li 001 (ASPLOS (2), 2023)

Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications. - Wenqian Dong; Gokcen Kestor; Dong Li 001 (HPDC, 2023)

Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness. - Zhen Xie; Jie Liu; Jiajia Li 001; Dong Li 001 (PPoPP, 2023)

HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. - Jie Ren 015; Dong Xu; Ivy Peng; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (CoRR, 2023)

iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. - Minjia Zhang; Jie Ren 015; Zhen Peng; Ruoming Jin; Dong Li 001; Bin Ren (IEEE Data Eng. Bull., 2023)

A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation. - Zeshi Liu; Zhen Xie; Wenqian Dong; Mengting Yuan 001; Haihang You; Dong Li 001 (Parallel Comput., 2023)

MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. - Jie Ren 015; Dong Xu; Junhee Ryu; Kwangsik Shin; Daewoo Kim; Dong Li 001 (EuroSys, 2024)

Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. - Jie Ren 015; Dong Xu; Shuangyan Yang; Jiacheng Zhao; Zhicheng Li; Christian Navasca; Chenxi Wang; Guoqing Harry Xu; Dong Li 001 (HPCA, 2024)

Performance Study of CXL Memory Topology. - Jianbo Wu; Jie Liu; Gokcen Kestor; Roberto Gioiosa; Dong Li 001; Andres Marquez 001 (MEMSYS, 2024)

FlexMem: Adaptive Page Profiling and Migration for Tiered Memory. - Dong Xu; Junhee Ryu; Kwangsik Shin; Pengfei Su; Dong Li 001 (USENIX ATC, 2024)

Exploring and Evaluating Real-world CXL: Use Cases and System Adoption. - Jie Liu; Xi Wang; Jianbo Wu; Shuangyan Yang; Jie Ren 015; Bhanu Shankar; Dong Li 001 (CoRR, 2024)

LM-Offload: Performance Model-Guided Generative Inference of Large Language Models with Parallelism Control. - Jianbo Wu; Jie Ren 015; Shuangyan Yang; Konstantinos Parasyris; Giorgis Georgakoudis; Ignacio Laguna; Dong Li 001 (IPDPS (Workshops), 2025)

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates. - Tingfeng Lan; Yusen Wu; Bin Ma; Zhaoyuan Su; Rui Yang; Tekin Bicer; Dong Li 001; Yue Cheng 001 (CoRR, 2025)