Complex Problems Heterogeneous Solutions

Heterogeneous Computing in AI

Complex Problems, Heterogeneous Solutions

The intricate nature of real-world problems necessitates a diverse range of both machine learning (ML) models and hardware systems.

Assistant Professor, University of Pittsburgh

Research Expertise

PhD in Computer Science from UCLA.
Cited by 1307.
Specializes in AI Chip design, FPGA, Electronic Design Automation, and Computer Architecture.

Research Focus

Electronic design automation,
Computer architecture,
Reconfigurable computing,
Heterogeneous computing,
Compiler.

Contact Information

Zhuoping Yang
1209 Benedum Hall
3700 O'Hara Street
Pittsburgh, PA 15213, USA.
Collaborators:
Shixin Ji, Xingzhen Chen,
Jinming Zhuang, Weifeng Zhang,
Dharmesh Jani, Peipei Zhou