Chunshu Wu

According to our database, Chunshu Wu authored at least 32 papers between 2019 and 2025.

Collaborative distances:

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

2025

DS-TPU: Dynamical System for on-Device Lifelong Graph Learning with Nonlinear Node Interaction.

Chunshu Wu, Ruibing Song, Chuan Liu, Pouya Haghi, Ang Li, Michael Huang, Tony Tong Geng

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models.

Ruibing Song, Chuan Liu, Chunshu Wu, Ang Li, Dongfang Liu, Ying Nian Wu, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Ying Nian Wu, Dongfang Liu, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

InstaTrain: Adaptive Training via Ultra-Fast Natural Annealing within Dynamical Systems.

Chuan Liu, Ruibing Song, Chunshu Wu, Pouya Haghi, Tong Geng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Nature-GL: A Revolutionary Learning Paradigm Unleashing Nature's Power in Real-World Spatial-Temporal Graph Learning.

Chuan Liu, Chunshu Wu, Ruibing Song, Yousu Chen, Ang Li, Michael C. Huang, Tony Tong Geng

Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024

FPGA-Accelerated Range-Limited Molecular Dynamics.

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

IEEE Trans. Computers, June, 2024

Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models.

Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng

CoRR, 2024

Inertial Confinement Fusion Forecasting via LLMs.

Mingkai Chen, Taowen Wang, James Chenhao Liang, Chuan Liu, Chunshu Wu, Qifan Wang, Ying Nian Wu, Michael Huang, Chuang Ren, Ang Li, Tong Geng, Dongfang Liu

CoRR, 2024

Visual Fourier Prompt Tuning.

Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Bridging the Gap Between LLMs and LNS with Dynamic Data Format and Architecture Codesign.

Pouya Haghi, Chunshu Wu, Zahra Azad, Yanfei Li, Andrew Gui, Yuchen Hao, Ang Li, Tony Tong Geng

Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

NP-NDS: A Nature-Powered Nonlinear Dynamical System for Power Grid Forecasting.

Chunshu Wu, Ruibing Song, Chuan Liu, Yuqing Wang, Yousu Chen, Ang Li, Dongfang Liu, Ying Nian Wu, Michael Huang, Tong Geng

Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems.

Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng

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

SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications.

Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt

Proceedings of the 38th ACM International Conference on Supercomputing, 2024

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World.

Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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