Mengdi Wang

According to our database, Mengdi Wang authored at least 17 papers between 2020 and 2025.

Collaborative distances:

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

2025

DNA: A General Dynamic Neural Network Accelerator.

Lian Liu, Jinxin Yu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

IEEE Trans. Computers, September, 2025

ChipSeek-R1: Generating Human-Surpassing RTL with LLM via Hierarchical Reward-Driven Reinforcement Learning.

Zhirong Chen, Kaiyan Chang, Zhuolin Li, Xinyang He, Chujie Chen, Cangyuan Li, Mengdi Wang, Haobo Xu, Yinhe Han, Ying Wang

CoRR, July, 2025

RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework.

Kun Wang, Kaiyan Chang, Mengdi Wang, Xinqi Zou, Haobo Xu, Yinhe Han, Ying Wang

CoRR, January, 2025

Make LLM Inference Affordable to Everyone: Augmenting GPU Memory with NDP-DIMM.

Lian Liu, Shixin Zhao, Bing Li, Haimeng Ren, Zhaohui Xu, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Be CIM or Be Memory: A Dual-mode-aware DNN Compiler for CIM Accelerators.

Shixin Zhao, Yuming Li, Bing Li, Yintao He, Mengdi Wang, Yinhe Han, Ying Wang

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

COMET: Towards Practical W4A4KV4 LLMs Serving.

Lian Liu, Long Cheng, Haimeng Ren, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

RTLMarker: Protecting LLM-Generated RTL Copyright via a Hardware Watermarking Framework.

Kun Wang, Kaiyan Chang, Mengdi Wang, Xingqi Zou, Haobo Xu, Yinhe Han, Ying Wang

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

2024

COMET: Towards Partical W4A4KV4 LLMs Serving.

Lian Liu, Haimeng Ren, Long Cheng, Zhaohui Xu, Yudong Pan, Mengdi Wang, Xiaowei Li, Yinhe Han, Ying Wang

CoRR, 2024

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation.

Kaiyan Chang, Zhirong Chen, Yunhao Zhou, Wenlong Zhu, Kun Wang, Haobo Xu, Cangyuan Li, Mengdi Wang, Shengwen Liang, Huawei Li, Yinhe Han, Ying Wang

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

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework.

Kaiyan Chang, Kun Wang, Nan Yang, Ying Wang, Dantong Jin, Wenlong Zhu, Zhirong Chen, Cangyuan Li, Hao Yan, Yunhao Zhou, Zhuoliang Zhao, Yuan Cheng, Yudong Pan, Yiqi Liu, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

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

Chipletizer: Repartitioning SoCs for Cost-Effective Chiplet Integration.

Fuping Li, Ying Wang, Yujie Wang, Mengdi Wang, Yinhe Han, Huawei Li, Xiaowei Li

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

ChipGPT: How far are we from natural language hardware design.

Kaiyan Chang, Ying Wang, Haimeng Ren, Mengdi Wang, Shengwen Liang, Yinhe Han, Huawei Li, Xiaowei Li

CoRR, 2023

Layer-Puzzle: Allocating and Scheduling Multi-task on Multi-core NPUs by Using Layer Heterogeneity.

Chengsi Gao, Ying Wang, Cheng Liu, Mengdi Wang, Weiwei Chen, Yinhe Han, Lei Zhang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Deep Learning Compiler Optimization on Multi-Chiplet Architecture.

Huiqing Xu, Kuang Mao, Quihong Pan, Zhaorong Tang, Mengdi Wang, Ying Wang

Proceedings of the 5th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2023

2021

MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design.

Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang

Proceedings of the GLSVLSI '21: Great Lakes Symposium on VLSI 2021, 2021

Network-on-Interposer Design for Agile Neural-Network Processor Chip Customization.

Mengdi Wang, Ying Wang, Cheng Liu, Lei Zhang

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning.

Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020