Xuan Wang

Ph.D. Student

University of California San Diego, CSE

About me

I am currently a Ph.D. Student in the Department of Computer Science and Engineering at University of California, San Diego (UCSD). I am advised by Prof. Tajana Šimunić Rosing in the System Energy Efficiency Lab (SEELab).

I am mainly interested in computer architecture, domain-specific acceleration and algorithm-architecture co-design. My current research aligns on architectural acceleration and algorithm optimization for fully homomorphic encryption (FHE) and machine learning applications.

Prior to the doctorate program, I received my B.S. degree with double majors in Computer Engineering and Applied Mathematics from UCSD at 2023.

Background

Interests

Computer Architecture
Domain-Specific Acceleration
Fully Homomorphic Encryption
Algorithm-Architecture Co-Design

Education

Ph.D in Computer Science

University of California San Diego

2023 - Present
B.S. in Computer Engineering

University of California San Diego

2019 - 2023
B.S. in Applied Mathematics

University of California San Diego

2019 - 2023

Publications

Minxuan Zhou, Yujin Nam, Xuan Wang, Youhak Lee, Chris Wilkerson, Raghavan Kumar, Sachin Taneja, Sanu Mathew, Rosario Cammarota, and Tajana Rosing (2024). UFC: A Unified Accelerator for Fully Homomorphic Encryption. 57th IEEE/ACM International Symposium on Microarchitecture, to be appeared.

Link

Xuan Wang, Minxuan Zhou, Tajana Rosing (2024). Fast-OverlaPIM: A Fast Overlap-driven Mapping Framework for Processing In-Memory Neural Network Acceleration. (IEEE TCAD).

Link

Minxuan Zhou@, Xuan Wang@, Tajana Rosing (2023). OverlaPIM: Overlap Optimization for Processing In-Memory Neural Network Acceleration. DATE'2023. (@Co-first authors).

Link

Contact

xuw009@ucsd.edu