Chunshu Wu

According to our database, Chunshu Wu authored at least 18 papers between 2019 and 2023.

Collaborative distances:

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

2023

FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics.

Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt

Proceedings of the International Conference for High Performance Computing, 2023

FLASH: FPGA-Accelerated Smart Switches with GCN Case Study.

Pouya Haghi, William Krska, Cheng Tan, Tong Geng, Po-Hao Chen, Connor Greenwood, Anqi Guo, Thomas M. Hines, Chunshu Wu, Ang Li, Anthony Skjellum, Martin C. Herbordt

Proceedings of the 37th International Conference on Supercomputing, 2023

Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.

Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng

Proceedings of the 37th International Conference on Supercomputing, 2023

2022

Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs.

Chunshu Wu, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

A Framework for Neural Network Inference on FPGA-Centric SmartNICs.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 32nd International Conference on Field-Programmable Logic and Applications, 2022

FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks.

Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt

Proceedings of the 30th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2022

2021

O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference.

Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt

IEEE Trans. Parallel Distributed Syst., 2021

I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization.

Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations.

Chunshu Wu, Sahan Bandara, Tong Geng, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs.

Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li

Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021

Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors.

Chunshu Wu, Tong Geng, Sahan Bandara, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt

Proceedings of the 29th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2021

2020

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing.

Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt

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

A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics.

Chunshu Wu, Tong Geng, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

CQNN: a CGRA-based QNN Framework.

Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing.

Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt

CoRR, 2019

Fully integrated FPGA molecular dynamics simulations.

Chen Yang, Tong Geng, Tianqi Wang, Rushi Patel, Qingqing Xiong, Ahmed Sanaullah, Chunshu Wu, Jiayi Sheng, Charles Lin, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt

Proceedings of the International Conference for High Performance Computing, 2019

O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning.

Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin C. Herbordt

Proceedings of the ACM International Conference on Supercomputing, 2019

LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism.

Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019