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ORCIDJingwen Leng
Person information
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
- affiliation: IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
- affiliation (PhD 2016): University of Texas at Austin, Department of Electrical and Computer Engineering, TX, USA
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2020 – today
- 2024
[j15]Cong Guo
, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo:
Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers 73(5): 1275-1289 (2024)- [c65]Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo:
Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) 2024: 1-18 - [c64]Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo:
Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. ASPLOS (3) 2024: 416-430 - [c63]Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) 2024: 450-466 - [c62]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) 2024: 549-565 - [c61]Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang:
MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) 2024: 607-621 - [c60]Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang:
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention. ICASSP 2024: 12261-12265 - [c59]Xiaofeng Hou, Tongqiao Xu, Chao Li, Cheng Xu, Jiacheng Liu, Yang Hu, Jieru Zhao, Jingwen Leng, Kwang-Ting Cheng, Minyi Guo:
A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. ISCA 2024: 167-181 - [c58]Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA 2024: 1293-1308 - [i37]Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang:
GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR abs/2401.08156 (2024) - [i36]Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo:
Accelerating Sparse DNNs Based on Tiled GEMM. CoRR abs/2402.10876 (2024) - [i35]Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR abs/2404.11852 (2024) - [i34]Han Zhao, Weihao Cui, Quan Chen, Shulai Zhang, Zijun Li, Jingwen Leng, Chao Li, Deze Zeng, Minyi Guo:
Towards Fast Setup and High Throughput of GPU Serverless Computing. CoRR abs/2404.14691 (2024) - [i33]Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng:
vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR abs/2407.15309 (2024) - [i32]Yu Feng, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu:
Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. CoRR abs/2408.06608 (2024) - [i31]Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng:
Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR abs/2409.01075 (2024) - 2023
- [j14]Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Deze Zeng, Minyi Guo:
Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation. IEEE Trans. Computers 72(12): 3458-3472 (2023) - [c57]Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin:
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. ACL (Findings) 2023: 8954-8966 - [c56]Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu:
uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. ASPLOS (2) 2023: 878-891 - [c55]Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo:
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF 2023: 52-62 - [c54]Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo:
DistSim: A performance model of large-scale hybrid distributed DNN training. CF 2023: 112-122 - [c53]Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang:
Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. SoCC 2023: 109-124 - [c52]Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang:
Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. HPCA 2023: 1113-1126 - [c51]Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo:
PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. ICS 2023: 75-86 - [c50]Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue:
FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. IPDPS 2023: 864-874 - [c49]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA 2023: 3:1-3:15 - [c48]Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu:
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. ISCA 2023: 41:1-41:13 - [i30]Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu:
ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. CoRR abs/2304.03352 (2023) - [i29]Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR abs/2304.07493 (2023) - [i28]Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin:
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. CoRR abs/2305.15099 (2023) - [i27]Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo:
AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR abs/2305.17408 (2023) - [i26]Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo:
DistSim: A performance model of large-scale hybrid distributed DNN training. CoRR abs/2306.08423 (2023) - [i25]Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo:
DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. CoRR abs/2306.11043 (2023) - [i24]Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo:
Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR abs/2308.08174 (2023) - [i23]Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang:
Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention. CoRR abs/2311.07102 (2023) - [i22]Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR abs/2312.01712 (2023) - 2022
- [c47]Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo:
Block-Skim: Efficient Question Answering for Transformer. AAAI 2022: 10710-10719 - [c46]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo:
Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) 2022: 7275-7286 - [c45]Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo:
VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. ASPLOS 2022: 388-401 - [c44]Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo:
Astraea: towards QoS-aware and resource-efficient multi-stage GPU services. ASPLOS 2022: 570-582 - [c43]Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang:
EMS: efficient memory subsystem synthesis for spatial accelerators. DAC 2022: 67-72 - [c42]Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo:
SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences. DAC 2022: 571-576 - [c41]Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo:
Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. HPCA 2022: 800-813 - [c40]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD 2022: 738-745 - [c39]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR 2022 - [c38]Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo:
PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences. ICS 2022: 37:1-37:12 - [c37]Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu:
Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE 2022: 85-96 - [c36]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO 2022: 1414-1433 - [c35]Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma:
Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN 2022: 736-743 - [i21]Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo:
VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling. CoRR abs/2201.06212 (2022) - [i20]Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo:
SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR abs/2202.07471 (2022) - [i19]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo:
Transkimmer: Transformer Learns to Layer-wise Skim. CoRR abs/2205.07324 (2022) - [i18]Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo:
SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences. CoRR abs/2206.14550 (2022) - [i17]Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo:
Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR abs/2208.11945 (2022) - [i16]Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu:
ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR abs/2208.14286 (2022) - [i15]Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo:
Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR abs/2209.10778 (2022) - 2021
- [j13]An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang:
System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. ACM Trans. Archit. Code Optim. 18(4): 52:1-52:27 (2021) - [j12]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi:
Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(1): 171-184 (2021) - [j11]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi:
Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1272 (2021) - [c34]Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo:
Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs. PACT 2021: 304-317 - [c33]Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo:
Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. ICCD 2021: 290-298 - [c32]Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo:
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. ICPP 2021: 83:1-83:10 - [c31]Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC 2021: 214-225 - [c30]Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Shaolei Ren, Jingwen Leng, Quan Chen, Minyi Guo:
AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph. IPDPS 2021: 797-806 - [c29]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. ISCA 2021: 1083-1095 - [c28]Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo:
Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. SC 2021: 15 - [i14]Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng:
Dual-side Sparse Tensor Core. CoRR abs/2105.09564 (2021) - [i13]Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu:
ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR abs/2107.08709 (2021) - [i12]Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo:
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. CoRR abs/2109.04253 (2021) - [i11]Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu:
Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR abs/2110.03901 (2021) - [i10]Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu:
Block-Skim: Efficient Question Answering for Transformer. CoRR abs/2112.08560 (2021) - 2020
- [j10]Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. 19(1): 59-62 (2020) - [j9]Zihan Liu, Jingwen Leng, Guandong Lu, Chenhui Wang, Quan Chen, Minyi Guo:
Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator. CCF Trans. High Perform. Comput. 2(4): 332-347 (2020) - [j8]Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo:
Probabilistic robust regression with adaptive weights - a case study on face recognition. Frontiers Comput. Sci. 14(5): 145314 (2020) - [j7]Mengze Wei, Wenyi Zhao, Quan Chen, Hao Dai, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo:
Predicting and reining in application-level slowdown on spatial multitasking GPUs. J. Parallel Distributed Comput. 141: 99-114 (2020) - [j6]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5142-5155 (2020) - [c27]Yiming Gan, Yuxian Qiu, Lele Chen, Jingwen Leng, Yuhao Zhu:
Low-Latency Proactive Continuous Vision. PACT 2020: 329-342 - [c26]Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo:
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. COLING 2020: 3853-3860 - [c25]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC 2020: 1-6 - [c24]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi:
Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. HPCA 2020: 44-57 - [c23]Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo:
CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. ICDCS 2020: 853-863 - [c22]Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo:
OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment. ICPP 2020: 71:1-71:11 - [c21]Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo:
URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. ICPP 2020: 73:1-73:11 - [c20]Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo:
Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. IPDPS 2020: 718-727 - [c19]Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. ISPA/BDCloud/SocialCom/SustainCom 2020: 118-127 - [c18]Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Ptolemy: Architecture Support for Robust Deep Learning. MICRO 2020: 241-255 - [c17]Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC 2020: 16 - [i9]Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao:
Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR abs/2002.08326 (2020) - [i8]Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo:
Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. CoRR abs/2005.02088 (2020) - [i7]George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman:
Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. CoRR abs/2006.01049 (2020) - [i6]Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu:
Ptolemy: Architecture Support for Robust Deep Learning. CoRR abs/2008.09954 (2020) - [i5]Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu:
Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR abs/2008.13006 (2020) - [i4]Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. CoRR abs/2009.00804 (2020) - [i3]Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo:
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. CoRR abs/2011.00943 (2020) - [i2]Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. CoRR abs/2011.05630 (2020)
2010 – 2019
- 2019
- [j5]Yiming Gan, Yuxian Qiu, Jingwen Leng, Yuhao Zhu:
SVSoC: Speculative Vision Systems-on-a-Chip. IEEE Comput. Archit. Lett. 18(1): 47-50 (2019) - [j4]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi:
Asymmetric Resilience for Accelerator-Rich Systems. IEEE Comput. Archit. Lett. 18(1): 83-86 (2019) - [j3]Han Zhao, Quan Chen, Yuxian Qiu, Ming Wu, Yao Shen, Jingwen Leng, Chao Li, Minyi Guo:
Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. ACM Trans. Archit. Code Optim. 15(4): 55:1-55:26 (2019) - [j2]Yuhai Cao, Chao Li, Jing Wang, Weigong Zhang, Quan Chen, Jingwen Leng, Bin Yao, Yao Shen, Minyi Guo:
DR Refresh: Releasing DRAM Potential by Enabling Read Accesses Under Refresh. IEEE Trans. Computers 68(11): 1584-1596 (2019) - [c16]Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
Adversarial Defense Through Network Profiling Based Path Extraction. CVPR 2019: 4777-4786 - [c15]Weihao Cui, Mengze Wei, Quan Chen, Xiaoxin Tang, Jingwen Leng, Li Li, Mingyi Guo:
Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. ICCD 2019: 497-505 - [c14]Quan Chen, Zhenning Wang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo:
Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters. ICS 2019: 272-283 - [c13]Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng:
Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. IOLTS 2019: 129-134 - [c12]Wenyi Zhao, Quan Chen, Hao Lin, Jianfeng Zhang, Jingwen Leng, Chao Li, Wenli Zheng, Li Li, Minyi Guo:
Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs. IPDPS 2019: 653-663 - [c11]Alessandro Toschi, Mustafa Sanic, Jingwen Leng, Quan Chen, Chunlin Wang, Minyi Guo:
Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System. NPC 2019: 235-247 - [i1]Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu:
Adversarial Defense Through Network Profiling Based Path Extraction. CoRR abs/1904.08089 (2019) - 2018
- [c10]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang:
Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. DAC 2018: 43:1-43:6 - [c9]Yuhai Cao, Chao Li, Quan Chen, Jingwen Leng, Minyi Guo, Jing Wang, Weigong Zhang:
DR DRAM: Accelerating Memory-Read-Intensive Applications. ICCD 2018: 301-309 - [c8]An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang:
Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. MICRO 2018: 390-402 - 2017
- [c7]An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang:
Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC 2017: 1:1-1:6 - 2015
- [c6]Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi:
GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures. HPCA 2015: 161-173 - [c5]Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi:
Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach. MICRO 2015: 294-307 - [c4]Yazhou Zu, Charles R. Lefurgy, Jingwen Leng, Matthew Halpern, Michael S. Floyd, Vijay Janapa Reddi:
Adaptive guardband scheduling to improve system-level efficiency of the POWER7+. MICRO 2015: 308-321 - 2014
- [j1]Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi:
Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing. IEEE Comput. Archit. Lett. 13(1): 33-36 (2014) - [c3]Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi:
GPUVolt: modeling and characterizing voltage noise in GPU architectures. ISLPED 2014: 141-146 - 2013
- [c2]Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi:
GPUWattch: enabling energy optimizations in GPGPUs. ISCA 2013: 487-498 - [c1]Minsoo Rhu, Michael B. Sullivan, Jingwen Leng, Mattan Erez:
A locality-aware memory hierarchy for energy-efficient GPU architectures. MICRO 2013: 86-98
Coauthor Index
[j15] [c65] [c64] [c63] [c62] [c59] [c58] [i37] [i36] [i35] [i34] [i33] [i32] [j14] [c56] [c55] [c54] [c53] [c51] [c50] [c49] [i29] [i27] [i26] [i25] [i24] [i22] [c47] [c46] [c45] [c44] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [c34] [c33] [c32] [c31] [c30] [c28] [i13] [i12] [i11] [i10] [j10] [j9] [j8] [j7] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i9] [i8] [i6] [i5] [i4] [i3] [i2] [j3] [j2] [c16] [c14] [c12] [c11] [i1] [c9]
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