Bio

I am a PhD candidate in Institute of Computing Technology, Chinese Academy of Sciences, and I got a bachelor's degree in Huazhong University of Science and Technology in 2017. My research interests lie in NN Accelerators, Multi-core Processors, Network-on-Chip and Multi-chip Modules.

Publications

• Mengdi Wang, Ying Wang，Cheng Liu, Lei Zhang, "Network-on-Interposer Design for Agile NNP Chip Customization", in IEEE/ACM Proceedings of Design, Automation Conference, 2021.
• Mengdi Wang, Bing Li, Ying Wang, Cheng Liu, Xiaohan Ma, Xiandong Zhao, Lei Zhang, "MT-DLA: An Efficient Multi-Task Deep Learning Accelerator Design", in Great Lakes Symposium on VLSI, 2021. (Best Paper Award 2nd Place)
• Ying Wang, Mengdi Wang, Bing Li, Huawei Li, Xiaowei Li, "A Many-Core Accelerator Design for On-Chip Deep Reinforcement Learning", in IEEE/ACM International Conference On Computer Aided Design, 2020.

Projects

• Participated in the design of energy efficient AI accelerators, including designing NPU architecture and developing tool-chains, etc. The low-power consumption accelerators are integrated into JX2 and JX3 SoCs of Jeejio.
• Participating in the design of chiplet-based multi-core processor, in which I mainly focus on the on-chip and inter-chip interconnection.

Experience

• 2018.3 - 2020.9, Jeejio, Beijing.
  Intern, Department of AI.