Dong Li

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 79

Top Venues

CoRR

IPDPS

PACT

Virginia Tech, Blacksburg, VA, USA (PHD)

Education History

Virginia Tech, Blacksburg, VA, USA

PHD

Publications

Dong Xu, Junhee Ryu, Kwangsik Shin, Pengfei Su, Dong Li
FlexMem: Adaptive Page Profiling and Migration for Tiered Memory. USENIX ATC (2024)
Jie Ren, Dong Xu, Shuangyan Yang, Jiacheng Zhao, Zhicheng Li, Christian Navasca, Chenxi Wang, Guoqing Harry Xu, Dong Li
Enabling Large Dynamic Neural Network Training with Learning-based Memory Management. HPCA (2024)
Jie Liu, Xi Wang, Jianbo Wu, Shuangyan Yang, Jie Ren, Bhanu Shankar, Dong Li
Exploring and Evaluating Real-world CXL: Use Cases and System Adoption. CoRR (2024)
Jie Ren, Dong Xu, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li
MTM: Rethinking Memory Profiling and Migration for Multi-Tiered Large Memory. EuroSys (2024)
Zeshi Liu, Zhen Xie, Wenqian Dong, Mengting Yuan, Haihang You, Dong Li
A heterogeneous processing-in-memory approach to accelerate quantum chemistry simulation. Parallel Comput. 116 (2023)
Minjia Zhang, Jie Ren, Zhen Peng, Ruoming Jin, Dong Li, Bin Ren
iQAN: Fast and Accurate Vector Search with Efficient Intra-Query Parallelism on Multi-Core Architectures. IEEE Data Eng. Bull. 46 (3) (2023)
Shuangyan Yang, Minjia Zhang, Wenqian Dong, Dong Li
Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning. ASPLOS (2) (2023)
Wenqian Dong, Gokcen Kestor, Dong Li
Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications. HPDC (2023)
Xin He, Jianhua Sun, Hao Chen, Dong Li
Campo: Cost-Aware Performance Optimization for Mixed-Precision Neural Network Training. USENIX Annual Technical Conference (2022)
Bang Di, Daokun Hu, Zhen Xie, Jianhua Sun, Hao Chen, Jinkui Ren, Dong Li
TLB-pilot: Mitigating TLB Contention Attack on GPUs with Microarchitecture-Aware Scheduling. ACM Trans. Archit. Code Optim. 19 (1) (2022)
Zhen Xie, Jie Liu, Sam Ma, Jiajia Li, Dong Li
LB-HM: load balance-aware data placement on heterogeneous memory for task-parallel HPC applications. PPoPP (2022)
Jie Liu, Bogdan Nicolae, Dong Li
Lobster: Load Balance-Aware I/O for Distributed DNN Training. ICPP (2022)
Jie Liu, Bogdan Nicolae, Dong Li, Justin M. Wozniak, Tekin Bicer, Zhengchun Liu, Ian T. Foster
Large Scale Caching and Streaming of Training Data for Online Deep Learning. FlexScience@HPDC (2022)
Jie Ren, Jiaolin Luo, Ivy Bo Peng, Kai Wu, Dong Li
Optimizing large-scale plasma simulations on persistent memory-based heterogeneous memory with effective data placement across memory hierarchy. ICS (2021)
Luanzheng Guo, Dong Li, Ignacio Laguna
PARIS: Predicting application resilience using machine learning. J. Parallel Distributed Comput. 152 (2021)
Kai Wu, Dong Li
Unimem: Runtime Data Management on Non-Volatile Memory-Based Heterogeneous Main Memory for High Performance Computing. J. Comput. Sci. Technol. 36 (1) (2021)
Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. PPoPP (2021)
Luanzheng Guo, Dong Li
MOARD: Modeling Application Resilience to Transient Faults on Data Objects. CoRR (2021)
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
MATCH: An MPI Fault Tolerance Benchmark Suite. CoRR (2021)
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He
ZeRO-Offload: Democratizing Billion-Scale Model Training. USENIX Annual Technical Conference (2021)
Jie Liu, Wenqian Dong, Dong Li, Qingqing Zhou
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation. Proc. VLDB Endow. 14 (11) (2021)
Jie Ren, Samyam Rajbhandari, Reza Yazdani Aminabadi, Olatunji Ruwase, Shuangyan Yang, Minjia Zhang, Dong Li, Yuxiong He
ZeRO-Offload: Democratizing Billion-Scale Model Training. CoRR (2021)
Jialin Liu, Dong Li, Lei Wang, Jie Xiong
BlinkListener: "Listen" to Your Eye Blink Using Your Smartphone. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5 (2) (2021)
Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors. SEC (2021)
Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Hyeran Jeon, Dong Li
Sentinel: Efficient Tensor Migration and Allocation on Heterogeneous Memory Systems for Deep Learning. HPCA (2021)
Bang Di, Jianhua Sun, Hao Chen, Dong Li
Efficient Buffer Overflow Detection on GPU. IEEE Trans. Parallel Distributed Syst. 32 (5) (2021)
Kai Wu, Jie Ren, Ivy Bo Peng, Dong Li
ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. FAST (2021)
Zhen Xie, Wenqian Dong, Jie Liu, Ivy Bo Peng, Yanbao Ma, Dong Li
MD-HM: memoization-based molecular dynamics simulations on big memory system. ICS (2021)
Zhen Xie, Wenqian Dong, Jiawen Liu, Hang Liu, Dong Li
Tahoe: tree structure-aware high performance inference engine for decision tree ensemble on GPU. EuroSys (2021)
Jie Ren, Kai Wu, Dong Li
Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CLUSTER (2020)
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
Smart-PGSim: using neural network to accelerate AC-OPF power grid simulation. SC (2020)
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation. CoRR (2020)
Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li
MATCH: An MPI Fault Tolerance Benchmark Suite. IISWC (2020)
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. IPDPS (2020)
Jiawen Liu, Zhen Xie, Dimitrios S. Nikolopoulos, Dong Li
RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices. OpML (2020)
Dong Li, Jialin Liu, Sunghoon Ivan Lee, Jie Xiong
FM-track: pushing the limits of contactless multi-target tracking using acoustic signals. SenSys (2020)
Jie Liu, Jiawen Liu, Zhen Xie, Dong Li
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. CoRR (2020)
Ivy Bo Peng, Kai Wu, Jie Ren, Dong Li, Maya B. Gokhale
Demystifying the Performance of HPC Scientific Applications on NVM-based Memory Systems. CoRR (2020)
Jie Ren, Minjia Zhang, Dong Li
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. NeurIPS (2020)
Juan Fang, Zeqing Chang, Dong Li
Exploration on Routing Configuration of HNoC With Intelligent On-Chip Resource Management. IEEE Access 8 (2020)
Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation. CoRR (2020)
Kai Wu, Ivy Bo Peng, Jie Ren, Dong Li
Ribbon: High Performance Cache Line Flushing for Persistent Memory. PACT (2020)
Jie Ren, Chunhua Liao, Dong Li
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops (2019)
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
UMap: Enabling Application-driven Optimizations for Page Management. CoRR (2019)
Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Dong Li
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. CoRR (2019)
Wenqian Dong, Jie Liu, Zhen Xie, Dong Li
Adaptive neural network-based approximation to accelerate eulerian fluid simulation. SC (2019)
Ivy Bo Peng, Marty McFadden, Eric W. Green, Keita Iwabuchi, Kai Wu, Dong Li, Roger Pearce, Maya B. Gokhale
UMap: Enabling Application-driven Optimizations for Page Management. MCHPC@SC (2019)
Jie Liu, Jiawen Liu, Wan Du, Dong Li
Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2. CoRR (2019)
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. IPDPS (2019)
Jie Ren, Kai Wu, Dong Li
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CoRR (2019)
Kai Wu, Jie Ren, Dong Li
Architecture-Aware, High Performance Transaction for Persistent Memory. CoRR (2019)
Jie Liu, Jiawen Liu, Wan Du, Dong Li
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device. ICPADS (2019)
Luanzheng Guo, Dong Li
MOARD: Modeling Application Resilience to Transient Faults on Data Objects. IPDPS (2019)
Kai Wu, Jie Ren, Dong Li
Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. SC (2018)
Kai Wu, Wenqian Dong, Qiang Guan, Nathan DeBardeleben, Dong Li
Modeling Application Resilience in Large-scale Parallel Execution. ICPP (2018)
Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. CoRR (2018)
Bang Di, Jianhua Sun, Dong Li, Hao Chen, Zhe Quan
GMOD: a dynamic GPU memory overflow detector. PACT (2018)
Jie Ren, Kai Wu, Dong Li
Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. MCHPC@SC (2018)
Luanzheng Guo, Dong Li, Ignacio Laguna
PARIS: Predicting Application Resilience Using Machine Learning. CoRR (2018)
Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz
FlipTracker: Understanding Natural Error Resilience in HPC Applications. CoRR (2018)
Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz
FlipTracker: understanding natural error resilience in HPC applications. SC (2018)
Wenqian Dong, Anzheng GuoLu, Dong Li
A Preliminary Study of Neural Network-based Approximation for HPC Applications. CoRR (2018)
Jiawen Liu, Hengyu Zhao, Matheus A. Ogleari, Dong Li, Jishen Zhao
Processing-in-Memory for Energy-Efficient Neural Network Training: A Heterogeneous Approach. MICRO (2018)
Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li
Characterization and Comparison of Application Resilience for Serial and Parallel Executions. CoRR (2018)
Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory. NAS (2017)
Yingchao Huang, Kai Wu, Dong Li
High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing. CoRR (2017)
Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory. CoRR (2017)
Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai
Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC. CLUSTER (2017)
Kai Wu, Yingchao Huang, Dong Li
Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory. SC (2017)
Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li
Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Trans. Computers 66 (3) (2017)
Kai Wu, Yingchao Huang, Dong Li
Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory. CoRR (2017)
Kai Wu, Frank Ober, Shari Hamlin, Dong Li
Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads. CoRR (2017)
Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai
Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPC. CoRR (2017)
Luanzheng Guo, Hanlin He, Dong Li
Application-Level Resilience Modeling for HPC Fault Tolerance. CoRR (2017)
Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. HPDC (2016)
Matt Poremba, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, Yuan Xie
DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. DATE (2015)
Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen
Enabling Portable Optimizations of Data Placement on GPU. IEEE Micro 35 (4) (2015)
Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter
Enabling and Exploiting Flexible Task Assignment on GPU through SM-Centric Program Transformations. ICS (2015)
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
A Survey Of Architectural Approaches for Managing Embedded DRAM and Non-Volatile On-Chip Caches. IEEE Trans. Parallel Distributed Syst. 26 (6) (2015)
Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. MICRO (2014)
Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT (2014)
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
Improving energy efficiency of embedded DRAM caches for high-end computing systems. HPDC (2014)
Seyong Lee, Dong Li, Jeffrey S. Vetter
Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing. IPDPS (2014)
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
WriteSmoothing: improving lifetime of non-volatile caches using intra-set wear-leveling. ACM Great Lakes Symposium on VLSI (2014)
Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li
HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. ICCS (2014)
Sarat Sreepathi, M. L. Grodowitz, Robert V. Lim, Philip Taffet, Philip C. Roth, Jeremy S. Meredith, Seyong Lee, Dong Li, Jeffrey S. Vetter
Application characterization using Oxbow toolkit and PADS infrastructure. Co-HPC@SC (2014)
Sparsh Mittal, Jeffrey S. Vetter, Dong Li
LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches. ISVLSI (2014)
Li Yu, Dong Li, Sparsh Mittal, Jeffrey S. Vetter
Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. SC (2014)
Dong Li, Bronis R. de Supinski, Martin Schulz, Dimitrios S. Nikolopoulos, Kirk W. Cameron
Strategies for Energy-Efficient Resource Management of Hybrid Programming Models. IEEE Trans. Parallel Distributed Syst. 24 (1) (2013)
Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge
A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. IPCCC (2013)
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)
Jeffrey S. Vetter, Seyong Lee, Dong Li, Gabriel Marin, Collin McCurdy, Jeremy S. Meredith, Philip C. Roth, Kyle Spafford
Quantifying Architectural Requirements of Contemporary Extreme-Scale Scientific Applications. PMBS@SC (2013)
Dong Li, Seyong Lee, Jeffrey S. Vetter
Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection. Euro-Par Workshops (2013)
Bronis R. de Supinski, Dong Li
HPPAC Introduction. IPDPS Workshops (2013)
Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach. SC (2013)
Bin Wang, Bo Wu, Dong Li, Xipeng Shen, Weikuan Yu, Yizheng Jiao, Jeffrey S. Vetter
Exploring hybrid memory for GPU energy efficiency through software-hardware co-design. PACT (2013)
Bin Wang, Yizheng Jiao, Weikuan Yu, Xipeng Shen, Dong Li, Jeffrey S. Vetter
A Versatile Performance and Energy Simulation Tool for Composite GPU Global Memory. MASCOTS (2013)
Kyle Spafford, Jeremy S. Meredith, Seyong Lee, Dong Li, Philip C. Roth, Jeffrey S. Vetter
The tradeoffs of fused memory hierarchies in heterogeneous computing architectures. Conf. Computing Frontiers (2012)
Chun-Yi Su, Dong Li, Dimitrios S. Nikolopoulos, Matthew Grove, Kirk W. Cameron, Bronis R. de Supinski
Critical path-based thread placement for NUMA systems. SIGMETRICS Perform. Evaluation Rev. 40 (2) (2012)
Chun-Yi Su, Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Edgar A. León
Model-based, memory-centric performance and power optimization on NUMA multiprocessors. IISWC (2012)

Dong Li.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Dong Li