Jingwen Leng

According to our database, Jingwen Leng authored at least 91 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

BAFT: bubble-aware fault-tolerant framework for distributed DNN training with hybrid parallelism.

Runzhe Chen, Guandong Lu, Yakai Wang, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Jingwen Leng, Minyi Guo

Frontiers Comput. Sci., January, 2025

2024

Accelerating Sparse DNNs Based on Tiled GEMM.

Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo

IEEE Trans. Computers, May, 2024

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization.

Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng

CoRR, 2024

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture.

Yu Feng, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu

CoRR, 2024

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving.

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

CoRR, 2024

Towards Fast Setup and High Throughput of GPU Serverless Computing.

Han Zhao, Weihao Cui, Quan Chen, Shulai Zhang, Zijun Li, Jingwen Leng, Chao Li, Deze Zeng, Minyi Guo

CoRR, 2024

A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things.

Xiaofeng Hou, Tongqiao Xu, Chao Li, Cheng Xu, Jiacheng Liu, Yang Hu, Jieru Zhao, Jingwen Leng, Kwang-Ting Cheng, Minyi Guo

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations.

Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention.

Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang

Proceedings of the IEEE International Conference on Acoustics, 2024

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping.

Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning.

Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Amanda: Unified Instrumentation Framework for Deep Neural Networks.

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

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN.

Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching.

Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation.

Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Deze Zeng, Minyi Guo

IEEE Trans. Computers, December, 2023

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design.

Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo

CoRR, 2023

DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service.

Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo

CoRR, 2023

ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators.

Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing.

Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization.

Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo

Proceedings of the 37th International Conference on Supercomputing, 2023

Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion.

Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture.

Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang

Proceedings of the 2023 ACM Symposium on Cloud Computing, SoCC 2023, 2023

DistSim: A performance model of large-scale hybrid distributed DNN training.

Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.

Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.

Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.

Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization.

Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo

CoRR, 2022

Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA.

Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization.

Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Braum: Analyzing and Protecting Autonomous Machine Software Stack.

Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences.

Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo

Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.

Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.

Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS.

Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences.

Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

EMS: efficient memory subsystem synthesis for spatial accelerators.

Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Astraea: towards QoS-aware and resource-efficient multi-stage GPU services.

Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling.

Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

Transkimmer: Transformer Learns to Layer-wise Skim.

Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Block-Skim: Efficient Question Answering for Transformer.

Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs".

Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs.

Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System.

An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang

ACM Trans. Archit. Code Optim., 2021

ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration.

Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu

CoRR, 2021

Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction.

Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo

Proceedings of the International Conference for High Performance Computing, 2021

Dual-side Sparse Tensor Core.

Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph.

Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Shaolei Ren, Jingwen Leng, Quan Chen, Minyi Guo

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.

Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE International Symposium on Workload Characterization, 2021

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection.

Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks.

Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo

Proceedings of the 39th IEEE International Conference on Computer Design, 2021

Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs.

Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo

Proceedings of the 30th International Conference on Parallel Architectures and Compilation Techniques, 2021

2020

Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management.

An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Predicting and reining in application-level slowdown on spatial multitasking GPUs.

Mengze Wei, Wenyi Zhao, Quan Chen, Hao Dai, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo

J. Parallel Distributed Comput., 2020

Probabilistic robust regression with adaptive weights - a case study on face recognition.

Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo

Frontiers Comput. Sci., 2020

Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins.

George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman

CoRR, 2020

Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters.

Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo

CoRR, 2020

Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator.

Zihan Liu, Jingwen Leng, Guandong Lu, Chenhui Wang, Quan Chen, Minyi Guo

CCF Trans. High Perform. Comput., 2020

Architectural Implications of Graph Neural Networks.

Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo

IEEE Comput. Archit. Lett., 2020

Accelerating sparse DNN models without hardware-support via tile-wise sparsity.

Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu

Proceedings of the International Conference for High Performance Computing, 2020

Ptolemy: Architecture Support for Robust Deep Learning.

Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu

Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator.

Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2020

Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers.

Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment.

Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds.

Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo

Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 2020

CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs.

Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems.

Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.

Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention.

Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Low-Latency Proactive Continuous Vision.

Yiming Gan, Yuxian Qiu, Lele Chen, Jingwen Leng, Yuhao Zhu

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2019

DR Refresh: Releasing DRAM Potential by Enabling Read Accesses Under Refresh.

Yuhai Cao, Chao Li, Jing Wang, Weigong Zhang, Quan Chen, Jingwen Leng, Bin Yao, Yao Shen, Minyi Guo

IEEE Trans. Computers, 2019

Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory.

Han Zhao, Quan Chen, Yuxian Qiu, Ming Wu, Yao Shen, Jingwen Leng, Chao Li, Minyi Guo

ACM Trans. Archit. Code Optim., 2019

Asymmetric Resilience for Accelerator-Rich Systems.

Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi

IEEE Comput. Archit. Lett., 2019

SVSoC: Speculative Vision Systems-on-a-Chip.

Yiming Gan, Yuxian Qiu, Jingwen Leng, Yuhao Zhu

IEEE Comput. Archit. Lett., 2019

Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System.

Alessandro Toschi, Mustafa Sanic, Jingwen Leng, Quan Chen, Chunlin Wang, Minyi Guo

Proceedings of the Network and Parallel Computing, 2019

Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs.

Wenyi Zhao, Quan Chen, Hao Lin, Jianfeng Zhang, Jingwen Leng, Chao Li, Wenli Zheng, Li Li, Minyi Guo

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies.

Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng

Proceedings of the 25th IEEE International Symposium on On-Line Testing and Robust System Design, 2019

Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters.

Quan Chen, Zhenning Wang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo

Proceedings of the ACM International Conference on Supercomputing, 2019

Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services.

Weihao Cui, Mengze Wei, Quan Chen, Xiaoxin Tang, Jingwen Leng, Li Li, Mingyi Guo

Proceedings of the 37th IEEE International Conference on Computer Design, 2019

Adversarial Defense Through Network Profiling Based Path Extraction.

Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs.

An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

DR DRAM: Accelerating Memory-Read-Intensive Applications.

Yuhai Cao, Chao Li, Quan Chen, Jingwen Leng, Minyi Guo, Jing Wang, Weigong Zhang

Proceedings of the 36th IEEE International Conference on Computer Design, 2018

Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators.

An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators.

An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang

Proceedings of the 54th Annual Design Automation Conference, 2017

2015

Adaptive guardband scheduling to improve system-level efficiency of the POWER7+.

Yazhou Zu, Charles R. Lefurgy, Jingwen Leng, Matthew Halpern, Michael S. Floyd, Vijay Janapa Reddi

Proceedings of the 48th International Symposium on Microarchitecture, 2015

Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach.

Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi

Proceedings of the 48th International Symposium on Microarchitecture, 2015

GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures.

Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi

Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

2014

Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing.

Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi

IEEE Comput. Archit. Lett., 2014

GPUVolt: modeling and characterizing voltage noise in GPU architectures.

Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi

Proceedings of the International Symposium on Low Power Electronics and Design, 2014

2013

A locality-aware memory hierarchy for energy-efficient GPU architectures.

Minsoo Rhu, Michael B. Sullivan, Jingwen Leng, Mattan Erez

Proceedings of the 46th Annual IEEE/ACM International Symposium on Microarchitecture, 2013

GPUWattch: enabling energy optimizations in GPGPUs.

Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi

Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013