Mingyu Gao is a tenure-track assistant professor of computer science in the Institute for Interdisciplinary Information Sciences (IIIS) at Tsinghua University in Beijing, China. He leads the Innovative Data-centric Efficient Architecture Lab (IDEAL). His research interests lie in the fields of computer architecture and systems, with emphasis on data-intensive applications, including deep learning, graph processing, and data analytics. He designed scalable and efficient Near-Data Processing systems with new memory technologies, hardware and software optimizations for domain-specific neural network acceleration, as well as novel reconfigurable substrates.

Mingyu received his PhD in Electrical Engineering at Stanford University in June, 2018. He also received a Master of Science degree in Electrical Engineering at Stanford University in 2014, and a Bachelor of Science degree in Microelectronics at Tsinghua University in China in 2012.

Student Recruiting

I am currently looking for PhD students as well as undergraduate interns interested in computer architecture and systems. Welcome to join my group! If you are interested, please send me a short introduction email with your CV.

Recent News
  • New! [2019.4.] The TANGRAM paper about NN accelerator dataflow scheduling is in ASPLOS'19.
  • [2019.3.] I am serving on the MICRO 2019 program committee.
  • [2019.3.] I started as an assistant professor at Tsinghua University.

Mingyu Gao
FIT Building, Room 1-208
Tsinghua University
Beijing, China, 100084

Email: gaomy [at] tsinghua [dot] edu [dot] cn