Olivia Hsu

PhD Student Department of Computer Science Stanford University Office: 494 Gates owhsu [at] stanford [dot] edu Curriculum Vitae

I am a computer science PhD student at Stanford University advised by Professor Kunle Olukotun and Professor Fredrik Kjolstad. I currently work on mapping and compiling sparse applications to domain-specific hardware, architectures, and accelerators. My research interests also broadly include computer architecture, computer and programming systems, compilers, programming models and languages, and digital circuits/VLSI.

I graduated from the University of California, Berkeley in 2019 with a degree in Electrical Engineering and Computer Science (EECS). At Berkeley, I was fortunate enough to be advised by Professor Vladimir Stojanovic and work with Panagiotis Zarkos on novel applications of silicon-photonics.

Publications

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture Olivia Hsu, Alexander Rucker, Tian Zhao, Kunle Olukotun, and Fredrik Kjolstad to appear in the International Symposium on Code Generation and Optimization (CGO), March 2025
Onyx: A Programmable Accelerator for Sparse Tensor Algebra Kalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Jake Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel Emer, Fredrik Kjolstad, Mark Horowitz, and Priyanka Raina to appear in IEEE Hot Chips Symposium (Hot Chips), August 2024
Compilation of Modular and General Sparse Workspaces Genghan Zhang, Olivia Hsu, and Fredrik Kjolstad Conference on Programming Language Design and Implementation (PLDI), June 2024
Onyx: A 12nm 756 GOPS/W Coarse-Grained Reconfigurable Array for Accelerating Dense and Sparse Applications Kalhan Koul, Maxwell Strange, Jackson Melchert, Alex Carsello, Yuchen Mei, Olivia Hsu, Taeyoung Kong, Po-Han Chen, Jake Ke, Keyi Zhang, Qiaoyi Liu, Gedeon Nyengele, Akhilesh Balasingam, Jayashree Adivarahan, Ritvik Sharma, Zhouhua Xie, Christopher Torng, Joel Emer, Fredrik Kjolstad, Mark Horowitz, and Priyanka Raina IEEE Symposium on VLSI Technology & Circuits (VLSI), June 2024
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework Erik Hellsten, Artur Souza, Johannes Lenfers, Rubens Lacouture, Olivia Hsu, Adel Ejjeh, Fredrik Kjolstad, Michel Steuwer, Kunle Olukotun, and Luigi Nardi International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), April 2024
Mosaic: An Interoperable Compiler for Tensor Algebra Manya Bansal, Olivia Hsu, Kunle Olukotun, and Fredrik Kjolstad Proceedings of the ACM on Programming Languages, Volume 7, Issue PLDI, June 2023 Distinguished Paper Award
Challenges with Hardware-Software Co-design for Sparse Machine Learning on Streaming Dataflow Rubens Lacouture, Olivia Hsu, Kunle Olukotun, and Fredrik Kjolstad Workshop on Programming Languages and Architecture (PLARCH) co-located with FCRC/ISCA/PLDI 2023, June 2023
The Sparse Abstract Machine Olivia Hsu, Maxwell Strange, Ritvik Sharma, Jaeyeon Won, Kunle Olukotun, Joel Emer, Mark Horowitz, and Fredrik Kjolstad International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2023
Designing a Dataflow Hardware Accelerator with an Abstract Machine Olivia Hsu, Maxwell Strange, Kunle Olukotun, Mark Horowitz, and Fredrik Kjolstad Workshop on Languages, Tools, and Techniques for Accelerator Design (LATTE) co-located with ASPLOS 2023, March 2023
Inclusive study group formation at scale Sumer Kohli, Neelesh Ramachandran, Ana Tudor, Gloria Tumushabe, Olivia Hsu, and Gireeja Ranade Special Interest Group Computer Science Education Technical Symposium (SIGCSE TS), March 2023
Compilation of sparse array programming models Rawn Henry, Olivia Hsu, Rohan Yadav, Stephen Chou, Kunle Olukotun, Saman Amarasinghe, and Fredrik Kjolstad Proceedings of the ACM on Programming Languages, Volume 5, Issue OOPSLA, October 2021
Fully Integrated Electronic-Photonic Ultrasound Receiver Array for Endoscopic Imaging Applications in a Zero-Change 45nm CMOS-SOI Process Panagiotis Zarkos, Sidney Buchbinder, Christos Adamopoulos, Sarika Madhvapathy, Olivia Hsu, Jake Whinnery, Pavan Bhargava, and Vladimir Stojanovic VLSI Symposium, June 2021
Monolithically Integrated Electronic-Photonic Ultrasound Receiver Using Microring Resonator Panagiotis Zarkos, Sidney Buchbinder, Christos Adamopoulos, Olivia Hsu, Sarika Madhvapathy, Jake Whinnery, Pavan Bhargava, and Vladimir Stojanovic Conference on Lasers and Electro-Optics (CLEO), May 2021
Ring Resonator Based Ultrasound Detection in a Zero-Change Advanced CMOS-SOI Process Panagiotis Zarkos, Olivia Hsu, and Vladimir Stojanovic Conference on Lasers and Electro-Optics (CLEO), Issue JW2A.78, May 2019

Talks

Mapping Sparse Applications to Accelerated Computing Systems June 2024 PLDI 2024: Sparse Workshop
Mapping sparse applications to accelerated computing systems April 2024 Carnegie Mellon University (CMU) Systems Design and Implementation (SDI) Seminar
The Sparse Abstract Machine April 2024 Stanford and U-Tokyo Workshop: Agile and low-cost HW design workshop for domain-specific computing era
Architectural and compiler support for accelerating embedding operations on general purpose processors February 2024 Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory (MIT CSAIL)
Beyond the Sparse Abstract Machine: Mapping sparse applications to accelerated computing systems December 2023 UC Santa Barbara Computer Science Department Colloquium
The Sparse Abstract Machine June 2023 PLDI 2023: Compilation Techniques for Sparse Tensor Algebra (CTSTA)
Sparse Abstract Machine and Dataflow Hardware November 2022 NVIDIA Tutorial on Sparse Tensor Algebra Compilation
The Sparse Abstract Machine: Sparse Tensor Algebra as Dataflow Graphs October 2022 University of Washington: SAMPL Lunch Talk
The Sparse Abstract Machine: Sparse Tensor Algebra as Dataflow Graphs September 2022 Samsung Semiconductor System Architecture Lab (SAL)
The Sparse Abstract Machine: Sparse Tensor Algebra as Dataflow Graphs August 2022 AHA Agile Hardware Project Retreat
Compilation of Sparse Array Programming Models April 2022 Google Brain: ML compilation seminar
Compilation of Sparse Array Programming Models April 2022 University of California, Santa Cruz: LSD Seminar

Teaching

CS 143: Compilers Spring 2023-2024, Stanford University

CS 149: Parallel Computing Autumn 2021, Stanford University

Afro Fem Coders: Intro to Python Oct 2020-2021, Afro Fem Coders

Decal EE 198: Hands-on PCB Engineering Fall 2018, University of California, Berkeley

EECS 16A: Designing Information Devices and Systems Fall 2016-2017, University of California, Berkeley

Press

Olivia Hsu to give speech at national IEEE-HKN virtual graduation celebration Berkeley EECS News

Ph.D. Candidate at Stanford University Named IEEE-HKN Outstanding Student of the Year for 2019 The Bridge

Women's History in EECS Berkeley EECS Newsletter

Arthur M. Hopkin Award Berkeley EECS