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ORCIDDong Li 0001
Person information
- affiliation: University of California, Merced, CA, USA
- affiliation (former): Oak Ridge National Laboratory, TN, USA
- affiliation (former): Virginia Tech, Department of Computer Science, Blacksburg, VA, USA
Other persons with the same name
- Dong Li — disambiguation page
- Dong Li 0002
![[0000-0001-9284-7150]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9284-7150")
— PLA University of Science and Technology, College of Command Information System, Nanjing, China - Dong Li 0003 — Nanjing Agricultural University, NETCIA, Jiangsu Key Laboratory for Information Agriculture, China
- Dong Li 0004 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
- Dong Li 0005 — Loughborough University, UK (and 1 more)
- Dong Li 0006 — University of Liverpool, Liverpool Management School, UK (and 1 more)
- Dong Li 0007 — Chongqing University, Key Laboratory of Aerocraft Tracking Telemetering and Command and Communication, China (and 1 more)
- Dong Li 0008 — Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
- Dong Li 0009 — Macau University of Science and Technology, Faculty of Information Technology, Macau (and 1 more)
- Dong Li 0010 — Hohai University, College of Computer and Information, Array and Information Processing Laboratory, Nanjing, China
- Dong Li 0011 — University of Birmingham, UK
- Dong Li 0012 — University of Southampton, UK
- Dong Li 0013 — Beijing Institute of Technology, School of Optoelectronics, China
- Dong Li 0014 — Chinese Academy of Sciences, National Space Science Center, Key Laboratory of Microwave Remote Sensing, Beijing, China
- Dong Li 0015 — Shanghai Jiao Tong University, School of Mechanical Engineering, China
- Dong Li 0016 — Huawei Technologies, Noah's Ark Lab, Beijing, China (and 1 more)
- Dong Li 0018 — Beijing Institute of Radiation Medicine, Beijing, China
- Dong Li 0019 — University of Science and Technology of China, Hefei, China
- Dong Li 0020 — Unit 94, PLA, Dalian, China
- Dong Li 0021 — Beijing Tsinghua Tongheng Urban Planning & Design Institute, China (and 1 more)
- Dong Li 0022 — Chinese Academy of Sciences, Institute of Acoustics, Ocean Acoustic Technology Center, Beijing, China
- Dong Li 0023 — Northeastern University, School of Computer Science and Engineering, Shenyang, China
- Dong Li 0024 — Fudan University, Software School, Shanghai, China
- Dong Li 0025 — AMD Inc., Advanced Micro Devices Inc., Beijing, China (and 3 more)
- Dong Li 0026 — Xi'an Satellite Control Center, China
- Dong Li 0027 — Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, China
- Dong Li 0028 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 1 more)
- Dong Li 0029 — Xi'an Institute of Space Radio Technology, CAST, China
- Dong Li 0031 — University of Massachusetts Amherst, MA, USA
- Dong Li 0032 — Xinyang Agriculture and Forestry University, China
- Dong Li 0033 — Shanghai AI Lab, China
- Dong Li 0034 — Tianjin University, China
- Dong Li 0035 — Virginia Tech, Department of Electrical and Computer Engineering, Blacksburg, VA, USA (and 1 more)
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2020 – today
- 2024
[c79]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: 803-817- [c78]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: 788-802 - [c77]Jianbo Wu, Jie Liu, Gokcen Kestor, Roberto Gioiosa, Dong Li, Andres Marquez:
Performance Study of CXL Memory Topology. MEMSYS 2024: 172-177 - [c76]Dong Xu, Junhee Ryu, Kwangsik Shin, Pengfei Su, Dong Li:
FlexMem: Adaptive Page Profiling and Migration for Tiered Memory. USENIX ATC 2024: 817-833 - [i26]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 abs/2405.14209 (2024) - 2023
- [j17]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): 22-38 (2023) - [j16]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: 103017 (2023) - [c75]Shuangyan Yang, Minjia Zhang, Wenqian Dong, Dong Li:
Betty: Enabling Large-Scale GNN Training with Batch-Level Graph Partitioning. ASPLOS (2) 2023: 103-117 - [c74]Wenqian Dong, Gokcen Kestor, Dong Li:
Auto-HPCnet: An Automatic Framework to Build Neural Network-based Surrogate for High-Performance Computing Applications. HPDC 2023: 31-44 - [c73]Zhen Xie, Jie Liu, Jiajia Li, Dong Li:
Merchandiser: Data Placement on Heterogeneous Memory for Task-Parallel HPC Applications with Load-Balance Awareness. PPoPP 2023: 204-217 - [i25]Jie Ren, Dong Xu, Ivy Peng, Junhee Ryu, Kwangsik Shin, Daewoo Kim, Dong Li:
HM-Keeper: Scalable Page Management for Multi-Tiered Large Memory Systems. CoRR abs/2302.09468 (2023) - 2022
- [j15]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): 9:1-9:23 (2022) - [c72]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: 19-26 - [c71]Jie Liu, Bogdan Nicolae, Dong Li:
Lobster: Load Balance-Aware I/O for Distributed DNN Training. ICPP 2022: 26:1-26:11 - [c70]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: 435-436 - [c69]Xin He, Jianhua Sun, Hao Chen, Dong Li:
Campo: Cost-Aware Performance Optimization for Mixed-Precision Neural Network Training. USENIX ATC 2022: 505-518 - 2021
- [j14]Xian-He Sun, Dong Li, Wen-Guang Chen, Tao Li, Jiwu Shu, Bo Wu, Jin Xiong, Jinging Xue, Feng Zhang, Jidong Zhai, Zhiia Zhao:
Preface. J. Comput. Sci. Technol. 36(1): 1-3 (2021) - [j13]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): 90-109 (2021) - [j12]Luanzheng Guo, Dong Li, Ignacio Laguna:
PARIS: Predicting application resilience using machine learning. J. Parallel Distributed Comput. 152: 111-124 (2021) - [j11]Jie Liu, Wenqian Dong, Dong Li, Qingqing Zhou:
Fauce: Fast and Accurate Deep Ensembles with Uncertainty for Cardinality Estimation. Proc. VLDB Endow. 14(11): 1950-1963 (2021) - [j10]Bang Di, Jianhua Sun, Hao Chen, Dong Li:
Efficient Buffer Overflow Detection on GPU. IEEE Trans. Parallel Distributed Syst. 32(5): 1161-1177 (2021) - [j9]Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu:
Trust: Triangle Counting Reloaded on GPUs. IEEE Trans. Parallel Distributed Syst. 32(11): 2646-2660 (2021) - [c68]Bang Di, Jiawen Liu, Hao Chen, Dong Li:
Fast, flexible, and comprehensive bug detection for persistent memory programs. ASPLOS 2021: 503-516 - [c67]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: 426-440 - [c66]Kai Wu, Jie Ren, Ivy Bo Peng, Dong Li:
ArchTM: Architecture-Aware, High Performance Transaction for Persistent Memory. FAST 2021: 141-153 - [c65]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: 598-611 - [c64]Jiawen Liu, Dong Li, Roberto Gioiosa, Jiajia Li:
Athena: high-performance sparse tensor contraction sequence on heterogeneous memory. ICS 2021: 190-202 - [c63]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: 203-214 - [c62]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: 215-226 - [c61]Xin He, Jiawen Liu, Zhen Xie, Hao Chen, Guoyang Chen, Weifeng Zhang, Dong Li:
Enabling energy-efficient DNN training on hybrid GPU-FPGA accelerators. ICS 2021: 227-241 - [c60]Jie Liu, Jiawen Liu, Zhen Xie, Xia Ning, Dong Li:
Flame: A Self-Adaptive Auto-Labeling System for Heterogeneous Mobile Processors. SEC 2021: 80-93 - [c59]Jiawen Liu, Jie Ren, Roberto Gioiosa, Dong Li, Jiajia Li:
Sparta: high-performance, element-wise sparse tensor contraction on heterogeneous memory. PPoPP 2021: 318-333 - [c58]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 ATC 2021: 551-564 - [i24]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 abs/2101.06840 (2021) - [i23]Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. CoRR abs/2102.06894 (2021) - [i22]Luanzheng Guo, Dong Li:
MOARD: Modeling Application Resilience to Transient Faults on Data Objects. CoRR abs/2102.06899 (2021) - [i21]Santosh Pandey, Zhibin Wang, Sheng Zhong, Chen Tian, Bolong Zheng, Xiaoye S. Li, Lingda Li, Adolfy Hoisie, Caiwen Ding, Dong Li, Hang Liu:
TRUST: Triangle Counting Reloaded on GPUs. CoRR abs/2103.08053 (2021) - 2020
- [j8]Juan Fang, Zeqing Chang, Dong Li:
Exploration on Routing Configuration of HNoC With Intelligent On-Chip Resource Management. IEEE Access 8: 12117-12129 (2020) - [c57]Kai Wu, Ivy Bo Peng, Jie Ren, Dong Li:
Ribbon: High Performance Cache Line Flushing for Persistent Memory. PACT 2020: 427-439 - [c56]Jie Ren, Kai Wu, Dong Li:
Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CLUSTER 2020: 237-247 - [c55]Luanzheng Guo, Giorgis Georgakoudis, Konstantinos Parasyris, Ignacio Laguna, Dong Li:
MATCH: An MPI Fault Tolerance Benchmark Suite. IISWC 2020: 60-71 - [c54]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: 916-925 - [c53]Jie Ren, Minjia Zhang, Dong Li:
HM-ANN: Efficient Billion-Point Nearest Neighbor Search on Heterogeneous Memory. NeurIPS 2020 - [c52]Jiawen Liu, Zhen Xie, Dimitrios S. Nikolopoulos, Dong Li:
RIANN: Real-time Incremental Learning with Approximate Nearest Neighbor on Mobile Devices. OpML 2020 - [c51]Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li:
Smart-PGSim: using neural network to accelerate AC-OPF power grid simulation. SC 2020: 63 - [i20]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 abs/2002.06499 (2020) - [i19]Jie Liu, Jiawen Liu, Zhen Xie, Dong Li:
FLAME: A Self-Adaptive Auto-labeling System for Heterogeneous Mobile Processors. CoRR abs/2003.01762 (2020) - [i18]Wenqian Dong, Zhen Xie, Gokcen Kestor, Dong Li:
Smart-PGSim: Using Neural Network to Accelerate AC-OPF Power Grid Simulation. CoRR abs/2008.11827 (2020) - [i17]Wenqian Dong, Jie Liu, Zhen Xie, Dong Li:
Adaptive Neural Network-Based Approximation to Accelerate Eulerian Fluid Simulation. CoRR abs/2008.11832 (2020)
2010 – 2019
- 2019
- [c50]Jie Liu, Jiawen Liu, Wan Du, Dong Li:
Performance Analysis and Characterization of Training Deep Learning Models on Mobile Device. ICPADS 2019: 506-515 - [c49]Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter:
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. IPDPS 2019: 188-199 - [c48]Jie Ren, Chunhua Liao, Dong Li:
Opera: Similarity Analysis on Data Access Patterns of OpenMP Tasks to Optimize Task Affinity. IPDPS Workshops 2019: 382-386 - [c47]Luanzheng Guo, Dong Li:
MOARD: Modeling Application Resilience to Transient Faults on Data Objects. IPDPS 2019: 878-889 - [c46]Wenqian Dong, Jie Liu, Zhen Xie, Dong Li:
Adaptive neural network-based approximation to accelerate eulerian fluid simulation. SC 2019: 7:1-7:22 - [c45]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: 71-78 - [i16]Kai Wu, Jie Ren, Dong Li:
Architecture-Aware, High Performance Transaction for Persistent Memory. CoRR abs/1903.06226 (2019) - [i15]Jie Liu, Jiawen Liu, Wan Du, Dong Li:
Performance Analysis and Characterization of Training Deep Learning Models on NVIDIA TX2. CoRR abs/1906.04278 (2019) - [i14]Jie Ren, Kai Wu, Dong Li:
EasyCrash: Exploring Non-Volatility of Non-Volatile Memory for High Performance Computing Under Failures. CoRR abs/1906.10081 (2019) - [i13]Jie Ren, Jiaolin Luo, Kai Wu, Minjia Zhang, Dong Li:
Sentinel: Runtime Data Management on Heterogeneous Main MemorySystems for Deep Learning. CoRR abs/1909.05182 (2019) - [i12]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 abs/1910.07566 (2019) - 2018
- [c44]Bang Di, Jianhua Sun, Dong Li, Hao Chen, Zhe Quan:
GMOD: a dynamic GPU memory overflow detector. PACT 2018: 20:1-20:13 - [c43]Kai Wu, Wenqian Dong, Qiang Guan, Nathan DeBardeleben, Dong Li:
Modeling Application Resilience in Large-scale Parallel Execution. ICPP 2018: 61:1-61:10 - [c42]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: 655-668 - [c41]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: understanding natural error resilience in HPC applications. SC 2018: 8:1-8:14 - [c40]Jie Ren, Kai Wu, Dong Li:
Understanding Application Recomputability without Crash Consistency in Non-Volatile Memory. MCHPC@SC 2018: 27-36 - [c39]Kai Wu, Jie Ren, Dong Li:
Runtime data management on non-volatile memory-based heterogeneous memory for task-parallel programs. SC 2018: 31:1-31:13 - [i11]Kai Wu, Qiang Guan, Nathan DeBardeleben, Dong Li:
Characterization and Comparison of Application Resilience for Serial and Parallel Executions. CoRR abs/1808.01093 (2018) - [i10]Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz:
FlipTracker: Understanding Natural Error Resilience in HPC Applications. CoRR abs/1809.01362 (2018) - [i9]Jiawen Liu, Dong Li, Gokcen Kestor, Jeffrey S. Vetter:
Runtime Concurrency Control and Operation Scheduling for High Performance Neural Network Training. CoRR abs/1810.08955 (2018) - [i8]Luanzheng Guo, Dong Li, Ignacio Laguna:
PARIS: Predicting Application Resilience Using Machine Learning. CoRR abs/1812.02944 (2018) - [i7]Wenqian Dong, Luanzheng Guo, Dong Li:
A Preliminary Study of Neural Network-based Approximation for HPC Applications. CoRR abs/1812.07561 (2018) - 2017
- [j7]Guoyang Chen, Xipeng Shen, Bo Wu, Dong Li:
Optimizing Data Placement on GPU Memory: A Portable Approach. IEEE Trans. Computers 66(3): 473-487 (2017) - [c38]Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai:
Algorithm-Directed Crash Consistence in Non-volatile Memory for HPC. CLUSTER 2017: 475-486 - [c37]Xin He, Zhiwen Chen, Jianhua Sun, Hao Chen, Dong Li, Zhe Quan:
Exploring Synchronization in Cache Coherent Manycore Systems: A Case Study with Xeon Phi. ICPADS 2017: 232-239 - [c36]Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li:
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory. NAS 2017: 1-10 - [c35]Kai Wu, Yingchao Huang, Dong Li:
Unimem: runtime data managementon non-volatile memory-based heterogeneous main memory. SC 2017: 58 - [i6]Kai Wu, Yingchao Huang, Dong Li:
Unimem: Runtime Data Management on Non-Volatile Memory-based Heterogeneous Main Memory. CoRR abs/1705.00249 (2017) - [i5]Yingchao Huang, Kai Wu, Dong Li:
High Performance Data Persistence in Non-Volatile Memory for Resilient High Performance Computing. CoRR abs/1705.00264 (2017) - [i4]Luanzheng Guo, Hanlin He, Dong Li:
Application-Level Resilience Modeling for HPC Fault Tolerance. CoRR abs/1705.00267 (2017) - [i3]Wei Liu, Kai Wu, Jialin Liu, Feng Chen, Dong Li:
Performance Evaluation and Modeling of HPC I/O on Non-Volatile Memory. CoRR abs/1705.03598 (2017) - [i2]Shuo Yang, Kai Wu, Yifan Qiao, Dong Li, Jidong Zhai:
Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPC. CoRR abs/1705.05541 (2017) - [i1]Kai Wu, Frank Ober, Shari Hamlin, Dong Li:
Early Evaluation of Intel Optane Non-Volatile Memory with HPC I/O Workloads. CoRR abs/1708.02199 (2017) - 2016
- [c34]Panruo Wu, Dong Li, Zizhong Chen, Jeffrey S. Vetter, Sparsh Mittal:
Algorithm-Directed Data Placement in Explicitly Managed Non-Volatile Memory. HPDC 2016: 141-152 - [c33]Borui Wang, Martin Torres, Dong Li, Jishen Zhao, Florin Rusu:
Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications. ICPP Workshops 2016: 115-122 - [c32]Yuxiong Zhu, Borui Wang, Dong Li, Jishen Zhao:
Integrated Thermal Analysis for Processing In Die-Stacking Memory. MEMSYS 2016: 402-414 - 2015
- [j6]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
Enabling Portable Optimizations of Data Placement on GPU. IEEE Micro 35(4): 16-24 (2015) - [j5]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): 1524-1537 (2015) - [c31]Kun Feng, Manjunath Gorentla Venkata, Dong Li, Xian-He Sun:
Fast Fault Injection and Sensitivity Analysis for Collective Communications. CLUSTER 2015: 148-157 - [c30]Matt Poremba, Sparsh Mittal, Dong Li, Jeffrey S. Vetter, Yuan Xie:
DESTINY: a tool for modeling emerging 3D NVM and eDRAM caches. DATE 2015: 1543-1546 - [c29]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: 119-130 - 2014
- [c28]Bo Wu, Guoyang Chen, Dong Li, Xipeng Shen, Jeffrey S. Vetter:
SM-centric transformation: circumventing hardware restrictions for flexible GPU scheduling. PACT 2014: 497-498 - [c27]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: 139-144 - [c26]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
Improving energy efficiency of embedded DRAM caches for high-end computing systems. HPDC 2014: 99-110 - [c25]Li Tan, Longxiang Chen, Zizhong Chen, Ziliang Zong, Rong Ge, Dong Li:
HP-DAEMON: High Performance Distributed Adaptive Energy-efficient Matrix-multiplicatiON. ICCS 2014: 599-613 - [c24]Seyong Lee, Dong Li, Jeffrey S. Vetter:
Interactive Program Debugging and Optimization for Directive-Based, Efficient GPU Computing. IPDPS 2014: 481-490 - [c23]Sparsh Mittal, Jeffrey S. Vetter, Dong Li:
LastingNVCache: A Technique for Improving the Lifetime of Non-volatile Caches. ISVLSI 2014: 534-540 - [c22]Guoyang Chen, Bo Wu, Dong Li, Xipeng Shen:
PORPLE: An Extensible Optimizer for Portable Data Placement on GPU. MICRO 2014: 88-100 - [c21]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: 55-63 - [c20]Li Yu, Dong Li, Sparsh Mittal, Jeffrey S. Vetter:
Quantitatively Modeling Application Resilience with the Data Vulnerability Factor. SC 2014: 695-706 - 2013
- [j4]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): 144-157 (2013) - [c19]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: 93-102 - [c18]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: 1-5 - [c17]Dong Li, Seyong Lee, Jeffrey S. Vetter:
Evaluating the Viability of Application-Driven Cooperative CPU/GPU Fault Detection. Euro-Par Workshops 2013: 670-679 - [c16]Li Tan, Zizhong Chen, Ziliang Zong, Dong Li, Rong Ge:
A2E: Adaptively aggressive energy efficient DVFS scheduling for data intensive applications. IPCCC 2013: 1-10 - [c15]Bronis R. de Supinski, Dong Li:
HPPAC Introduction. IPDPS Workshops 2013: 851-852 - [c14]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: 298-302 - [c13]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: 3-24 - [c12]Dong Li, Zizhong Chen, Panruo Wu, Jeffrey S. Vetter:
Rethinking algorithm-based fault tolerance with a cooperative software-hardware approach. SC 2013: 44:1-44:12 - 2012
- [j3]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): 106-112 (2012) - [c11]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: 103-112 - [c10]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: 164-173 - [c9]Dong Li, Jeffrey S. Vetter, Gabriel Marin, Collin McCurdy, Cristian Cira, Zhuo Liu, Weikuan Yu:
Identifying Opportunities for Byte-Addressable Non-Volatile Memory in Extreme-Scale Scientific Applications. IPDPS 2012: 945-956 - [c8]Zhuo Liu, Bin Wang, Patrick Carpenter, Dong Li, Jeffrey S. Vetter, Weikuan Yu:
PCM-Based Durable Write Cache for Fast Disk I/O. MASCOTS 2012: 451-458 - [c7]Dong Li, Jeffrey S. Vetter, Weikuan Yu:
Classifying soft error vulnerabilities in extreme-scale scientific applications using a binary instrumentation tool. SC 2012: 57 - 2011
- [b1]Dong Li:
Scalable and Energy Efficient Execution Methods for Multicore Systems. Virginia Tech, Blacksburg, VA, USA, 2011 - [c6]Dong Li, Kirk W. Cameron, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz:
Scalable memory registration for high performance networks using helper threads. Conf. Computing Frontiers 2011: 38 - 2010
- [j2]Zhenwei Cao, David R. Easterling, Layne T. Watson, Dong Li, Kirk W. Cameron, Wu-chun Feng:
Power saving experiments for large-scale global optimisation. Int. J. Parallel Emergent Distributed Syst. 25(5): 381-400 (2010) - [j1]Rong Ge, Xizhou Feng, Shuaiwen Song, Hung-Ching Chang, Dong Li, Kirk W. Cameron:
PowerPack: Energy Profiling and Analysis of High-Performance Systems and Applications. IEEE Trans. Parallel Distributed Syst. 21(5): 658-671 (2010) - [c5]Dong Li, Rong Ge, Kirk W. Cameron:
System-Level, Unified In-band and Out-of-band Dynamic Thermal Control. ICPP 2010: 131-140 - [c4]Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Martin Schulz:
Power-aware MPI task aggregation prediction for high-end computing systems. IPDPS 2010: 1-12 - [c3]Dong Li, Bronis R. de Supinski, Martin Schulz, Kirk W. Cameron, Dimitrios S. Nikolopoulos:
Hybrid MPI/OpenMP power-aware computing. IPDPS 2010: 1-12
2000 – 2009
- 2008
- [c2]Dong Li, Song Huang, Kirk W. Cameron:
CG-Cell: An NPB Benchmark Implementation on Cell Broadband Engine. ICDCN 2008: 263-273 - [c1]Dong Li, Hung-Ching Chang, Hari K. Pyla, Kirk W. Cameron:
System-level, thermal-aware, fully-loaded process scheduling. IPDPS 2008: 1-7
Coauthor Index
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-03-15 23:29 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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the dblp computer science bibliography is funded and supported by:
