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Dong 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
— 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
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