Wenyan Lu

Orcid: 0009-0007-1881-962X

According to our database¹, Wenyan Lu authored at least 30 papers between 2006 and 2023.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2023

DOE: database offloading engine for accelerating SQL processing.

[BibT_eX]

[DOI]

Distributed Parallel Databases, September, 2023

FlatProxy: A DPU-centric Service Mesh Architecture for Hyperscale Cloud-native Application.

[BibT_eX]

[DOI]

CoRR, 2023

BitColor: Accelerating Large-Scale Graph Coloring on FPGA with Parallel Bit-Wise Engines.

[BibT_eX]

[DOI]

Proceedings of the 52nd International Conference on Parallel Processing, 2023

Exploring the Empowerment of Chinese Women's Discourse in Tik Tok.

[BibT_eX]

[DOI]

Qian Wu

Hang Jiang

Wenyan Lu

Proceedings of the Cross-Cultural Design, 2023

Optimize the TX Architecture of RDMA NIC for Performance Isolation in the Cloud Environment.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

KPU-SQL: Kernel Processing Unit for High-Performance SQL Acceleration.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

M2VT: A Multi-Output Encoder Accelerator for Multiple-Way Video Transcoding.

[BibT_eX]

[DOI]

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

Co-ViSu: a Video Super-Resolution Accelerator Exploiting Codec Information Reuse.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Field-Programmable Logic and Applications, 2023

2022

Portrait: A holistic computation and bandwidth balanced performance evaluation model for heterogeneous systems.

[BibT_eX]

[DOI]

Sustain. Comput. Informatics Syst., 2022

DOE: Database Offloading Engine for Accelerating SQL Processing.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering Workshops, 2022

2021

ShuntFlowPlus: An Efficient and Scalable Dataflow Accelerator Architecture for Stream Applications.

[BibT_eX]

[DOI]

ACM J. Emerg. Technol. Comput. Syst., 2021

2020

A Quantitative Exploration of Collaborative Pruning and Approximation Computing Towards Energy Efficient Neural Networks.

[BibT_eX]

[DOI]

IEEE Des. Test, 2020

2019

SynergyFlow: An Elastic Accelerator Architecture Supporting Batch Processing of Large-Scale Deep Neural Networks.

[BibT_eX]

[DOI]

ACM Trans. Design Autom. Electr. Syst., 2019

Promoting the Harmony between Sparsity and Regularity: A Relaxed Synchronous Architecture for Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Computers, 2019

MLA: Machine Learning Adaptation for Realtime Streaming Financial Applications.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Green and Sustainable Computing Conference, 2019

ShuntFlow: An Efficient and Scalable Dataflow Accelerator Architecture for Streaming Applications.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

TNPU: an efficient accelerator architecture for training convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

2018

AdaFlow: Aggressive Convolutional Neural Networks Approximation by Leveraging the Input Variability.

[BibT_eX]

[DOI]

Wenyan Lu

Guihai Yan

Xiaowei Li

J. Low Power Electron., 2018

Joint Design of Training and Hardware Towards Efficient and Accuracy-Scalable Neural Network Inference.

[BibT_eX]

[DOI]

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

AxTrain: Hardware-Oriented Neural Network Training for Approximate Inference.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

SmartShuttle: Optimizing off-chip memory accesses for deep learning accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

CCR: A concise convolution rule for sparse neural network accelerators.

[BibT_eX]

[DOI]

Proceedings of the 2018 Design, Automation & Test in Europe Conference & Exhibition, 2018

2017

Exploiting the Potential of Computation Reuse Through Approximate Computing.

[BibT_eX]

[DOI]

IEEE Trans. Multi Scale Comput. Syst., 2017

FlexFlow: A Flexible Dataflow Accelerator Architecture for Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017

Leveraging FVT-margins in design space exploration for FFGA-based CNN accelerators.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

2009

Analysis of channel allocation scheme for wireless cellular networks.

[BibT_eX]

[DOI]

Int. J. Ad Hoc Ubiquitous Comput., 2009

2007

Performance Analysis of IEEE 802.16 Multicast and Broadcast Polling based Bandwidth Request.

[BibT_eX]

[DOI]

Lidong Lin

Weijia Jia

Wenyan Lu

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Centralized Scheduling and Channel Assignment in Multi-Channel Single-Transceiver WiMax Mesh Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

2006

A Base Station-Coordinated Contention Resolution for IEEE 802.16 PMP Networks.

[BibT_eX]

[DOI]

Proceedings of the Ubiquitous Intelligence and Computing, Third International Conference, 2006

Backtracking Based Handoff Rerouting Algorithm for WiMAX Mesh Mode.

[BibT_eX]

[DOI]

Wenfeng Du

Weijia Jia

Wenyan Lu

Proceedings of the Ubiquitous Intelligence and Computing, Third International Conference, 2006

Wenyan Lu

Timeline

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