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2020 – today
- 2024
[j11]Yunkun Liao
, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
DPU-Direct: Unleashing Remote Accelerators via Enhanced RDMA for Disaggregated Datacenters. IEEE Trans. Computers 73(8): 2081-2095 (2024)- [c25]Weiyue Zhao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
TianMen: a DPU-based storage network offloading structure for disaggregated datacenters. SoCC 2024: 689-703 - [c24]Yunkun Liao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
PHD: Parallel Huffman Decoder on FPGA for Extreme Performance and Energy Efficiency. DAC 2024: 6:1-6:6 - [c23]Haishuang Fan, Qichu Sun, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
Co-Via: A Video Frame Interpolation Accelerator Exploiting Codec Information Reuse. DAC 2024: 43:1-43:6 - [c22]Yunkun Liao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
Efficient RNIC Cache Side-Channel Attack Detection Through DPU-Driven Architecture. Euro-Par (2) 2024: 3-17 - [c21]Yunkun Liao, Hanyue Lin, Jingya Wu, Wenyan Lu, Huawei Li, Xiaowei Li, Guihai Yan:
Athena: Add More Intelligence to RMT-Based Network Data Plane with Low-Bit Quantization. Euro-Par (2) 2024: 259-273 - [c20]Haishuang Fan, Rui Meng, Qichu Sun, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
AMST: Accelerating Large-Scale Graph Minimum Spanning Tree Computation on FPGA. IPDPS 2024: 157-168 - 2023
- [j10]Hao Kong, Wenyan Lu, Yan Chen, Jingya Wu, Yu Zhang, Guihai Yan, Xiaowei Li:
DOE: database offloading engine for accelerating SQL processing. Distributed Parallel Databases 41(3): 273-297 (2023) - [c19]Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
Co-ViSu: a Video Super-Resolution Accelerator Exploiting Codec Information Reuse. FPL 2023: 93-100 - [c18]Yunkun Liao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
Optimize the TX Architecture of RDMA NIC for Performance Isolation in the Cloud Environment. ACM Great Lakes Symposium on VLSI 2023: 29-35 - [c17]Hao Kong, Haishuang Fan, Jingya Wu, Liyun Cheng, Yan Chen, Wenyan Lu, Guihai Yan, Xiaowei Li:
KPU-SQL: Kernel Processing Unit for High-Performance SQL Acceleration. ACM Great Lakes Symposium on VLSI 2023: 37-43 - [c16]Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
M2VT: A Multi-Output Encoder Accelerator for Multiple-Way Video Transcoding. ACM Great Lakes Symposium on VLSI 2023: 69-75 - [c15]Qian Wu, Hang Jiang, Wenyan Lu:
Exploring the Empowerment of Chinese Women's Discourse in Tik Tok. HCI (12) 2023: 306-316 - [c14]Haishuang Fan, Ming Li, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan:
BitColor: Accelerating Large-Scale Graph Coloring on FPGA with Parallel Bit-Wise Engines. ICPP 2023: 492-502 - [i2]Ming Li, Wenyan Lu, Hanyue Lin, Jingya Wu, Yu Zhang, Guihai Yan:
FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application. CoRR abs/2312.01297 (2023) - 2022
- [j9]Jingya Wu, Wenyan Lu, Guihai Yan, Xiaowei Li:
Portrait: A holistic computation and bandwidth balanced performance evaluation model for heterogeneous systems. Sustain. Comput. Informatics Syst. 35: 100724 (2022) - [c13]Wenyan Lu, Yan Chen, Jingya Wu, Yu Zhang, Xiaowei Li, Guihai Yan:
DOE: Database Offloading Engine for Accelerating SQL Processing. ICDE Workshops 2022: 129-134 - 2021
- [j8]Shijun Gong, Jiajun Li, Wenyan Lu, Guihai Yan, Xiaowei Li:
ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications. ACM J. Emerg. Technol. Comput. Syst. 17(4): 59:1-59:24 (2021) - 2020
- [j7]Xin He, Guihai Yan, Wenyan Lu, Xuan Zhang, Liu Ke:
A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks. IEEE Des. Test 37(1): 36-45 (2020)
2010 – 2019
- 2019
- [j6]Wenyan Lu, Guihai Yan, Jiajun Li, Shijun Gong, Shuhao Jiang, Jingya Wu, Xiaowei Li:
Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks. IEEE Trans. Computers 68(6): 867-881 (2019) - [j5]Jiajun Li, Guihai Yan, Wenyan Lu, Shijun Gong, Shuhao Jiang, Jingya Wu, Xiaowei Li:
SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks. ACM Trans. Design Autom. Electr. Syst. 24(1): 8:1-8:27 (2019) - [c12]Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Junchao Yan, Xiaowei Li:
TNPU: an efficient accelerator architecture for training convolutional neural networks. ASP-DAC 2019: 450-455 - [c11]Shijun Gong, Jiajun Li, Wenyan Lu, Guihai Yan, Xiaowei Li:
ShuntFlow: An Efficient and Scalable Dataflow Accelerator Architecture for Streaming Applications. DAC 2019: 194 - [c10]Jingya Wu, Wenyan Lu, Guihai Yan, Xiaowei Li:
MLA: Machine Learning Adaptation for Realtime Streaming Financial Applications. IGSC 2019: 1-6 - 2018
- [j4]Xin He, Wenyan Lu, Guihai Yan, Xuan Zhang:
Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(4): 810-821 (2018) - [j3]Wenyan Lu, Guihai Yan, Xiaowei Li:
AdaFlow: Aggressive Convolutional Neural Networks Approximation by Leveraging the Input Variability. J. Low Power Electron. 14(4): 481-495 (2018) - [c9]Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Xiaowei Li:
CCR: A concise convolution rule for sparse neural network accelerators. DATE 2018: 189-194 - [c8]Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Xiaowei Li:
SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators. DATE 2018: 343-348 - [c7]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. ISLPED 2018: 20:1-20:6 - [i1]Xin He, Liu Ke, Wenyan Lu, Guihai Yan, Xuan Zhang:
AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference. CoRR abs/1805.08309 (2018) - 2017
- [j2]Xin He, Shuhao Jiang, Wenyan Lu, Guihai Yan, Yinhe Han, Xiaowei Li:
Exploiting the Potential of Computation Reuse Through Approximate Computing. IEEE Trans. Multi Scale Comput. Syst. 3(3): 152-165 (2017) - [c6]Weina Lu, Wenyan Lu, Jing Ye, Yu Hu, Xiaowei Li:
Leveraging FVT-margins in design space exploration for FFGA-based CNN accelerators. FPL 2017: 1-4 - [c5]Wenyan Lu, Guihai Yan, Jiajun Li, Shijun Gong, Yinhe Han, Xiaowei Li:
FlexFlow: A Flexible Dataflow Accelerator Architecture for Convolutional Neural Networks. HPCA 2017: 553-564
2000 – 2009
- 2009
- [j1]Wenfeng Du, Weijia Jia, Guojun Wang, Wenyan Lu:
Analysis of channel allocation scheme for wireless cellular networks. Int. J. Ad Hoc Ubiquitous Comput. 4(3/4): 201-209 (2009) - 2007
- [c4]Peng Du, Weijia Jia, Liusheng Huang, Wenyan Lu:
Centralized Scheduling and Channel Assignment in Multi-Channel Single-Transceiver WiMax Mesh Network. WCNC 2007: 1734-1739 - [c3]Lidong Lin, Weijia Jia, Wenyan Lu:
Performance Analysis of IEEE 802.16 Multicast and Broadcast Polling based Bandwidth Request. WCNC 2007: 1854-1859 - 2006
- [c2]Wenfeng Du, Weijia Jia, Wenyan Lu:
Backtracking Based Handoff Rerouting Algorithm for WiMAX Mesh Mode. UIC 2006: 341-350 - [c1]Wenyan Lu, Weijia Jia, Wenfeng Du, Lidong Lin:
A Base Station-Coordinated Contention Resolution for IEEE 802.16 PMP Networks. UIC 2006: 605-614
Coauthor Index
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