Master's Theses & Technical Reports - Sophia Shao
M.S.
Accelerating Randomized Numerical Linear Algebra on a Short-Vector Machine
Jingyi Xu [2025]
A Hardware Accelerator Generator for Zstandard Decompression
Junsun Choi [2024]
Enhancing Accelerator Design Space Exploration with Differentiable Modeling and Unified Hardware-Software Co-Exploration
Charles Hong [2024]
FireAxe: Partitioned FPGA-Accelerated Simulation of Large-Scale RTL Designs
Joonho Whangbo [2024]
SonicSim: Socket-based Hardware Co-Simulation With Inter-process Communication
Richard Yan [2024]
5th Year M.S.
FALCON: Full Stack Evaluation Testbed of Compute Offloaded Extended Reality Systems
Zekai Lin [2025]
Improving Energy Efficiency of Machine Learning Software with an Instruction-Level Dynamic Energy Model for DNN Accelerators
Jonathan Wang [2025]
Improving LLM Performance in Generating Verilog by Fine Tuning with a Translated Code Dataset
Brendan Roberts [2025]
Accelerating Deep Learning on Heterogenous Architectures
Avinash Nandakumar [2022]
Hardware Accelerators for Graph Convolutional Networks
Kareem Ahmad [2021]