Olivia Hsu

Olivia Hsu is an assistant professor at Carnegie Mellon University in the Department of Electrical and Computer Engineering and, by courtesy, Computer Science. Previously, she received her Ph.D. from Stanford University, advised by Professors Kunle Olukotun, and Fredrik Kjolstad.

Her vision is a world where domain-specific hardware is used efficiently, easily, and to its full potential. Hardware adoption should be limited by its design, not its programming system, and new architecture ideas should be ready to use well at the time of its introduction. Toward this goal, she works on hardware and software systems that efficiently run complex, data-dependent applications (think sparse and dynamic ML workloads) on next-generation, domain-specific hardware (think heterogeneous, distributed, and accelerator architectures). During her Ph.D., she worked on one instance of this problem by studying Programming Systems for Sparse Accelerators.

Her research interests broadly lie at the intersection of computer architecture, programming systems, compilers, programming languages/models, and digital circuits/VLSI.