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Chunshu Wu
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2020 – today
- 2024
- [j2]Chunshu Wu, Chen Yang, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Ang Li, Martin C. Herbordt:
FPGA-Accelerated Range-Limited Molecular Dynamics. IEEE Trans. Computers 73(6): 1544-1558 (2024) - [c20]Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael C. Huang, Tong Geng:
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World. ICLR 2024 - [c19]Pouya Haghi, Cheng Tan, Anqi Guo, Chunshu Wu, Dongfang Liu, Ang Li, Anthony Skjellum, Tong Geng, Martin C. Herbordt:
SmartFuse: Reconfigurable Smart Switches to Accelerate Fused Collectives in HPC Applications. ICS 2024: 413-425 - [c18]Ruibing Song, Chunshu Wu, Chuan Liu, Ang Li, Michael C. Huang, Tong Geng:
DS-GL: Advancing Graph Learning via Harnessing Nature's Power within Scalable Dynamical Systems. ISCA 2024: 45-57 - [c17]Pouya Haghi, Chunshu Wu, Zahra Azad, Yanfei Li, Andrew Gui, Yuchen Hao, Ang Li, Tony Tong Geng:
Bridging the Gap Between LLMs and LNS with Dynamic Data Format and Architecture Codesign. MICRO 2024: 1617-1631 - [i5]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:
Inertial Confinement Fusion Forecasting via LLMs. CoRR abs/2407.11098 (2024) - [i4]Chuan Liu, Chunshu Wu, Shihui Cao, Mingkai Chen, James Chenhao Liang, Ang Li, Michael Huang, Chuang Ren, Dongfang Liu, Ying Nian Wu, Tong Geng:
Diff-PIC: Revolutionizing Particle-In-Cell Simulation for Advancing Nuclear Fusion with Diffusion Models. CoRR abs/2408.02693 (2024) - [i3]Runjia Zeng, Cheng Han, Qifan Wang, Chunshu Wu, Tong Geng, Lifu Huang, Ying Nian Wu, Dongfang Liu:
Visual Fourier Prompt Tuning. CoRR abs/2411.01327 (2024) - 2023
- [c16]Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng:
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. ICS 2023: 336-347 - [c15]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:
FLASH: FPGA-Accelerated Smart Switches with GCN Case Study. ICS 2023: 450-462 - [c14]Chunshu Wu, Tong Geng, Anqi Guo, Sahan Bandara, Pouya Haghi, Chuan Liu, Ang Li, Martin C. Herbordt:
FASDA: An FPGA-Aided, Scalable and Distributed Accelerator for Range-Limited Molecular Dynamics. SC 2023: 98:1-98:14 - 2022
- [c13]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
FCsN: A FPGA-Centric SmartNIC Framework for Neural Networks. FCCM 2022: 1-2 - [c12]Anqi Guo, Tong Geng, Yongan Zhang, Pouya Haghi, Chunshu Wu, Cheng Tan, Yingyan Lin, Ang Li, Martin C. Herbordt:
A Framework for Neural Network Inference on FPGA-Centric SmartNICs. FPL 2022: 1-8 - [c11]Chunshu Wu, Sahan Bandara, Tong Geng, Anqi Guo, Pouya Haghi, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
Optimized Mappings for Symmetric Range-Limited Molecular Force Calculations on FPGAs. FPL 2022: 101-108 - [i2]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. CoRR abs/2203.03606 (2022) - 2021
- [j1]Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Runbin Shi, Wei Wu, Martin C. Herbordt:
O3BNN-R: An Out-of-Order Architecture for High-Performance and Regularized BNN Inference. IEEE Trans. Parallel Distributed Syst. 32(1): 199-213 (2021) - [c10]Chunshu Wu, Tong Geng, Sahan Bandara, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
Upgrade of FPGA Range-Limited Molecular Dynamics to Handle Hundreds of Processors. FCCM 2021: 142-151 - [c9]Tong Geng, Chunshu Wu, Cheng Tan, Chenhao Xie, Anqi Guo, Pouya Haghi, Sarah Yuan He, Jiajia Li, Martin C. Herbordt, Ang Li:
A Survey: Handling Irregularities in Neural Network Acceleration with FPGAs. HPEC 2021: 1-8 - [c8]Chunshu Wu, Sahan Bandara, Tong Geng, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
System-Level Modeling of GPU/FPGA Clusters for Molecular Dynamics Simulations. HPEC 2021: 1-8 - [c7]Tong Geng, Chunshu Wu, Yongan Zhang, Cheng Tan, Chenhao Xie, Haoran You, Martin C. Herbordt, Yingyan Lin, Ang Li:
I-GCN: A Graph Convolutional Network Accelerator with Runtime Locality Enhancement through Islandization. MICRO 2021: 1051-1063 - 2020
- [c6]Tong Geng, Chunshu Wu, Cheng Tan, Bo Fang, Ang Li, Martin C. Herbordt:
CQNN: a CGRA-based QNN Framework. HPEC 2020: 1-7 - [c5]Chunshu Wu, Tong Geng, Chen Yang, Vipin Sachdeva, Woody Sherman, Martin C. Herbordt:
A Communication-Efficient Multi-Chip Design for Range-Limited Molecular Dynamics. HPEC 2020: 1-8 - [c4]Tong Geng, Ang Li, Runbin Shi, Chunshu Wu, Tianqi Wang, Yanfei Li, Pouya Haghi, Antonino Tumeo, Shuai Che, Steven K. Reinhardt, Martin C. Herbordt:
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing. MICRO 2020: 922-936
2010 – 2019
- 2019
- [c3]Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Shuaiwen Leon Song, Ang Li, Martin C. Herbordt:
LP-BNN: Ultra-low-Latency BNN Inference with Layer Parallelism. ASAP 2019: 9-16 - [c2]Tong Geng, Tianqi Wang, Chunshu Wu, Chen Yang, Wei Wu, Ang Li, Martin C. Herbordt:
O3BNN: an out-of-order architecture for high-performance binarized neural network inference with fine-grained pruning. ICS 2019: 461-472 - [c1]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:
Fully integrated FPGA molecular dynamics simulations. SC 2019: 67:1-67:31 - [i1]Tong Geng, Ang Li, Tianqi Wang, Chunshu Wu, Yanfei Li, Antonino Tumeo, Martin C. Herbordt:
UWB-GCN: Hardware Acceleration of Graph-Convolution-Network through Runtime Workload Rebalancing. CoRR abs/1908.10834 (2019)
Coauthor Index
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last updated on 2024-12-13 20:03 CET by the dblp team
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