Fully Integrated Electronic-Photonic Ultrasound Receiver Array for Endoscopic Imaging Applications in a Zero-Change 45nm CMOS-SOI Process. - Panagiotis G. Zarkos; Sidney Buchbinder; Christos G. Adamopoulos; Sarika Madhvapathy; Olivia Hsu; Jake Whinnery; Pavan Bhargava; Vladimir Stojanovic (VLSI Circuits, 2021)

Compilation of sparse array programming models. - Rawn Henry; Olivia Hsu; Rohan Yadav; Stephen Chou; Kunle Olukotun; Saman P. Amarasinghe; Fredrik Kjolstad (Proc. ACM Program. Lang., 2021)

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture. - Olivia Hsu; Alexander Rucker; Tian Zhao 001; Kunle Olukotun; Fredrik Kjolstad (CoRR, 2022)

BaCO: A Fast and Portable Bayesian Compiler Optimization Framework. - Erik Orm Hellsten; Artur L. F. Souza; Johannes Lenfers; Rubens Lacouture; Olivia Hsu; Adel Ejjeh; Fredrik Kjolstad; Michel Steuwer; Kunle Olukotun; Luigi Nardi (ASPLOS (4), 2023)

The Sparse Abstract Machine. - Olivia Hsu; Maxwell Strange; Ritvik Sharma; Jaeyeon Won; Kunle Olukotun; Joel S. Emer; Mark A. Horowitz; Fredrik Kjølstad (ASPLOS (3), 2023)

Inclusive Study Group Formation at Scale. - Sumer Kohli; Neelesh Ramachandran; Ana Tudor; Gloria Tumushabe; Olivia Hsu; Gireeja Ranade (SIGCSE (1), 2023)

Fully Integrated Electronic-Photonic Ultrasound Receiver Array for Endoscopic Applications in a Zero-Change 45-nm CMOS-SOI Process. - Panagiotis G. Zarkos; Sidney Buchbinder; Christos G. Adamopoulos; Sarika Madhvapathy; Olivia Hsu; Jake Whinnery; Pavan Bhargava; Vladimir Stojanovic (IEEE J. Solid State Circuits, 2023)

Mosaic: An Interoperable Compiler for Tensor Algebra. - Manya Bansal; Olivia Hsu; Kunle Olukotun; Fredrik Kjolstad (Proc. ACM Program. Lang., 2023)

Artifact for Mosaic: An Interoperable Compiler for Tensor Algebra. - Manya Bansal; Olivia Hsu; Kunle Olukotun; Fredrik Kjolstad (Zenodo, 2023)

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; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (HCS, 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; Huifeng Ke; Keyi Zhang; Qiaoyi Liu; Gedeon Nyengele; et al. (VLSI Technology and Circuits, 2024)

DFModel: Design Space Optimization of Large-Scale Systems Exploiting Dataflow Mappings. - Sho Ko; Nathan Zhang; Olivia Hsu; Ardavan Pedram; Kunle Olukotun (CoRR, 2024)

Compilation of Modular and General Sparse Workspaces. - Genghan Zhang; Olivia Hsu; Fredrik Kjolstad (Proc. ACM Program. Lang., 2024)

Stardust: Compiling Sparse Tensor Algebra to a Reconfigurable Dataflow Architecture. - Olivia Hsu; Alexander Rucker; Tian Zhao 001; Varun Desai; Kunle Olukotun; Fredrik Kjolstad (CGO, 2025)

Designing Programmable Accelerators for Sparse Tensor Algebra. - Kalhan Koul; Zhouhua Xie; Maxwell Strange; Sai Gautham Ravipati; Bo-Wun Cheng; Olivia Hsu; Po-Han Chen; Mark Horowitz; Fredrik Kjolstad; Priyanka Raina (IEEE Micro, 2025)

Adaptive Self-improvement LLM Agentic System for ML Library Development. - Genghan Zhang; Weixin Liang; Olivia Hsu; Kunle Olukotun (CoRR, 2025)

Ember: A Compiler for Efficient Embedding Operations on Decoupled Access-Execute Architectures. - Marco Siracusa; Olivia Hsu; Víctor Soria Pardos; Joshua Randall 001; Arnaud Grasset; Eric Biscondi; Douglas J. Joseph; Randy Allen; Fredrik Kjolstad; Miquel Moretó Planas; Adrià Armejach (CoRR, 2025)