Renze Chen

According to our database, Renze Chen authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Aquas: Enhancing Domain Specialization through Holistic Hardware-Software Co-Optimization based on MLIR.

Yuyang Zou, Youwei Xiao, Yansong Xu, Chenyun Yin, Yuhao Luo, Yitian Sun, Ruifan Xu, Renze Chen, Yun Liang

CoRR, November, 2025

Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler.

Size Zheng, Wenlei Bao, Qi Hou, Xuegui Zheng, Jin Fang, Chenhui Huang, Tianqi Li, Haojie Duanmu, Renze Chen, Ruifan Xu, Yifan Guo, Ningxin Zheng, Ziheng Jiang, Xinyi Di, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu

CoRR, April, 2025

Invited Paper: APS: Open-Source Hardware-Software Co-Design Framework for Agile Processor Specialization.

Youwei Xiao, Yuyang Zou, Yansong Xu, Yuhao Luo, Yitian Sun, Chenyun Yin, Ruifan Xu, Renze Chen, Yun Liang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2025

2024

ArkVale: Efficient Generative LLM Inference with Recallable Key-Value Eviction.

Renze Chen, Zhuofeng Wang, Beiquan Cao, Tong Wu, Size Zheng, Xiuhong Li, Xuechao Wei, Shengen Yan, Meng Li, Yun Liang

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

vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs.

Size Zheng, Renze Chen, Meng Li, Zihao Ye, Luis Ceze, Yun Liang

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

FlexHE: A flexible Kernel Generation Framework for Homomorphic Encryption-Based Private Inference.

Jiangrui Yu, Wenxuan Zeng, Tianshi Xu, Renze Chen, Yun Liang, Runsheng Wang, Ru Huang, Meng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers.

Zebin Yang, Renze Chen, Taiqiang Wu, Ngai Wong, Yun Liang, Runsheng Wang, Ru Huang, Meng Li

Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

MoteNN: Memory Optimization via Fine-grained Scheduling for Deep Neural Networks on Tiny Devices.

Renze Chen, Zijian Ding, Size Zheng, Meng Li, Yun Liang

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN.

Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion.

Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

NeoFlow: A Flexible Framework for Enabling Efficient Compilation for High Performance DNN Training.

Size Zheng, Renze Chen, Yicheng Jin, Anjiang Wei, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang

IEEE Trans. Parallel Distributed Syst., 2022

AMOS: enabling automatic mapping for tensor computations on spatial accelerators with hardware abstraction.

Size Zheng, Renze Chen, Anjiang Wei, Yicheng Jin, Qin Han, Liqiang Lu, Bingyang Wu, Xiuhong Li, Shengen Yan, Yun Liang

Proceedings of the ISCA '22: The 49th Annual International Symposium on Computer Architecture, New York, New York, USA, June 18, 2022

2020

FlexTensor: An Automatic Schedule Exploration and Optimization Framework for Tensor Computation on Heterogeneous System.

Size Zheng, Yun Liang, Shuo Wang, Renze Chen, Kaiwen Sheng

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020