Haiyue Ma - Ph.D. Student @ Princeton

About Me

I am a 3rd-year Electrical and Computer Engineering Ph.D. candidate at Princeton University, doing research in Computer Architecture.

I am a member of the Princeton Parallel Group, advised by Prof. David Wentzlaff.

Before joining Princeton, I spent three years at Nvidia, working on architecture explorations for future GPU designs with a focus on DL workloads, and full-chip GPU power analysis. I graduated from Washington University in St. Louis with a B.S. in Electrical Engineering in 2018.

Research

I am broadly interested in hardware/software co-design and system-level performance optimization for emerging workloads. My current and past research directions include:

System-level AI safety precautions
Compute unit interconnections and communication patterns
Data movement patterns and dataflow architecture
Scheduling policies and strategies

Publications

Exploiting Data Commonality in Value Prediction (Workshop paper)

The Fifth Young Architect Workshop at ASPLOS 2023

CV

You can download my CV here.

Blog

A Hardware "Stop Button" for AI Applications - March 2024

Contact

Email: hm1@princeton.edu

LinkedIn: My LinkedIn Profile