Jingya Wu

According to our database, Jingya Wu authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DOE: database offloading engine for accelerating SQL processing.

Hao Kong, Wenyan Lu, Yan Chen, Jingya Wu, Yu Zhang, Guihai Yan, Xiaowei Li

Distributed Parallel Databases, September, 2023

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

Ming Li, Wenyan Lu, Hanyue Lin, Jingya Wu, Yu Zhang, Guihai Yan

CoRR, 2023

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

Haishuang Fan, Ming Li, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan

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

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

Yunkun Liao, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

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

Hao Kong, Haishuang Fan, Jingya Wu, Liyun Cheng, Yan Chen, Wenyan Lu, Guihai Yan, Xiaowei Li

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

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

Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

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

Haishuang Fan, Jingya Wu, Wenyan Lu, Xiaowei Li, Guihai Yan

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.

Jingya Wu, Wenyan Lu, Guihai Yan, Xiaowei Li

Sustain. Comput. Informatics Syst., 2022

DOE: Database Offloading Engine for Accelerating SQL Processing.

Wenyan Lu, Yan Chen, Jingya Wu, Yu Zhang, Xiaowei Li, Guihai Yan

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

2019

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

Jiajun Li, Guihai Yan, Wenyan Lu, Shijun Gong, Shuhao Jiang, Jingya Wu, Xiaowei Li

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

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

Wenyan Lu, Guihai Yan, Jiajun Li, Shijun Gong, Shuhao Jiang, Jingya Wu, Xiaowei Li

IEEE Trans. Computers, 2019

SqueezeFlow: A Sparse CNN Accelerator Exploiting Concise Convolution Rules.

Jiajun Li, Shuhao Jiang, Shijun Gong, Jingya Wu, Junchao Yan, Guihai Yan, Xiaowei Li

IEEE Trans. Computers, 2019

MLA: Machine Learning Adaptation for Realtime Streaming Financial Applications.

Jingya Wu, Wenyan Lu, Guihai Yan, Xiaowei Li

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

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

Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Junchao Yan, Xiaowei Li

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

2018

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

Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Xiaowei Li

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

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

Jiajun Li, Guihai Yan, Wenyan Lu, Shuhao Jiang, Shijun Gong, Jingya Wu, Xiaowei Li

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

2017

A Method for Retrieving Vertical Air Velocities in Convective Clouds over the Tibetan Plateau from TIPEX-III Cloud Radar Doppler Spectra.

Jiafeng Zheng, Liping Liu, Keyun Zhu, Jingya Wu, Binyun Wang

Remote. Sens., 2017

Creative Computing and Society: When Undergraduates Design a Curriculum for an Introductory Computing Course.

Sierra Magnotta, Anushikha Sharma, Jingya Wu, Darakhshan J. Mir

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017