5 papers
Finding the Needle in a Haystack: Test-Time Analog Circuit Representation Adaptation for Bayesian Optimization
Fin Amin, Sounak Dutta, Paul D. Franzon
Bayesian optimization (BO) is a sample-efficient framework for analog circuit topology search, where evaluating each candidate topology can require costly simulation. However, repr…
Can an Actor-Critic Optimization Framework Improve Analog Design?
Sounak Dutta, Fin Amin, Sushil Panda +3
Analog design often slows down because even small changes to device sizes or biases require expensive simulation cycles, and high-quality solutions typically occupy only a narrow p…
QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture
Shvetank Prakash, Andrew Cheng, Jason Yik +14
We introduce QuArch, a dataset of 1500 human-validated question-answer pairs designed to evaluate and enhance language models' understanding of computer architecture. The dataset c…
Can Low-Rank Knowledge Distillation in LLMs be Useful for Microelectronic Reasoning?
Nirjhor Rouf, Fin Amin, Paul D. Franzon
In this work, we present empirical results regarding the feasibility of using offline large language models (LLMs) in the context of electronic design automation (EDA). The goal is…
Addressing Large Action Spaces in 3D Floorplanning via Spatial Generalization
Fin Amin, Nirjhor Rouf, Tse-Han Pan +3
Many recent machine learning approaches to floorplanning represent placement decisions using discrete canvas coordinates, which creates scalability bottlenecks as the action space…