Olivia Hsu
Scholar

Olivia Hsu

Google Scholar ID: t67CRMYAAAAJ
Stanford University
CompilersComputer ArchitectureSparse ComputationProgramming LanguagesVLSI
Citations & Impact
All-time
Citations
214
 
H-index
8
 
i10-index
6
 
Publications
20
 
Co-authors
18
list available
Resume (English only)
Academic Achievements
  • Published multiple papers including 'Ember: A Compiler for Embedding Operations on Decoupled Access-Execute Architectures' and 'Onyx: A 12-nm Programmable Accelerator for Dense and Sparse Applications', and received a Best Paper Award.
Research Experience
  • Worked with Professor Vladimir Stojanovic and Panagiotis Zarkos at UC Berkeley on novel applications of silicon-photonics.
Education
  • Graduated from the University of California, Berkeley in 2019 with a degree in Electrical Engineering and Computer Science (EECS). Advised by Professors Kunle Olukotun and Fredrik Kjolstad for her PhD.
Background
  • Research interests include computer architecture, computer and programming systems, compilers, programming models and languages, and digital circuits/VLSI. Currently a PhD student in Computer Science at Stanford University, focusing on mapping and compiling sparse applications to domain-specific hardware, architectures, and accelerators.
Miscellany
  • Joining Carnegie Mellon University as an Assistant Professor in the Electrical and Computer Engineering (ECE) department and, by courtesy, the Computer Science Department (CSD) starting Summer/Fall 2026.