Publications

2025

1. ICLR

   

   RTop-K: Ultra-Fast Row-Wise Top-K Selection for Neural Network Acceleration on GPUs

   Xi Xie, Yuebo Luo, Hongwu Peng, and 1 more author

   In The Thirteenth International Conference on Learning Representations, 2025

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2024

1. ASPLOS

   

   MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

   Xi Xie^*, Hongwu Peng^*, Kaustubh Shivdikar, and 6 more authors

   In Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2, La Jolla, CA, USA, 2024

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2. ICCAD

   

   AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

   Tong Zhou, Jiahui Zhao, Yukui Luo, and 4 more authors

   In 2024 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2024

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3. Preprint

   

   Advanced Large Language Model (LLM)-Driven Verilog Development: Enhancing Power, Performance, and Area Optimization in Code Synthesis

   Kiran Thorat, Jiahui Zhao, Yaotian Liu, and 5 more authors

   arXiv preprint arXiv:2312.01022, 2024

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2023

1. ICCAD

   

   Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networks

   Xi Xie, Hongwu Peng, Amit Hasan, and 7 more authors

   In 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023

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2. ICCV

   

   AutoReP: Automatic ReLU Replacement for Fast Private Network Inference

   Hongwu Peng, Shaoyi Huang, Tong Zhou, and 11 more authors

   In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

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3. AAAI Workshop

   

   RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference

   Hongwu Peng, Shanglin Zhou, Yukui Luo, and 11 more authors

   AAAI 2023 Workshop on DL-Hardware Co-Design for AI Acceleration, 2023

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