Profile

Chenyang Ai is currently a PhD student at the Institute for Computing Systems Architecture (ICSA), School of Informatics, University of Edinburgh. His research is centered on hardware microarchitecture and combines software scheduling, architecture exploration, and approximate computing to improve how systems execute LLMs, CNNs, and other workloads that are dominated by tensor operators.

Contact

Research Interests

  • Hardware microarchitecture for tensor-operator workloads
  • Software scheduling for accelerator systems
  • Architecture exploration across models, operators, and dataflows
  • Approximate computing for efficiency-accuracy tradeoffs
  • Hardware/software co-design for LLMs, CNNs, and related domains

Education

Present

University of Edinburgh

PhD student, Institute for Computing Systems Architecture (ICSA), School of Informatics.

Peking University

Master's Degree in Integrated Circuit Science and Engineering.

Chongqing University of Posts and Telecommunications

Bachelor's Degree in Microelectronics Science and Engineering.

GPA 3.79/4.0, ranked 1/35.

Awards

2021

Third Ranking, FudanMicroCup Digital Track

National Student Electronic Design Competition. Project: Speech Recognition Accelerator Based on LSTM.

2021

First Ranking, Digilent Track

China College Integrated Circuit Competition. Project: SoC for Sign Language and Speech Collaborative Recognition Based on CNN.

2020

First Prize, Chongqing Provincial Level

National College Student Mathematical Modeling Competition.