Olivia Hsu

About

Olivia Hsu is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University. Her research lies at the intersection of compilers, computer architecture, and programming languages, spanning programming languages and digital VLSI. She develops hardware–software systems for efficiently executing complex, data-dependent workloads on next-generation hardware architectures. Her recent work includes sparse tensor compilation, compilation and mapping for heterogeneous domain-specific accelerators, dataflow abstractions for hardware, and reconfigurable spatial architectures. Her research has been recognized with a Distinguished Paper Award at PLDI 2023, and honors including the NSF Graduate Research Fellowship, Rising Stars in EECS, and the Alton B. Zerby and Carol M. K

Education

• CIC 4121
• owh(through)andrew.cmu.edu
• Programming languages and Compilers
• Computer systems
• Computer architecture
• Programming Systems for Emerging Hardware
• Parallel Computing
• Domain-Specific Systems
• Hardware Accelerators
• Data-dependent and Irregular Computation