2 papers
cs.LG2025
FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design
Asal Mehradfar, Xuzhe Zhao, Yilun Huang +5
Designing analog circuits from performance specifications is a complex, multi-stage process encompassing topology selection, parameter inference, and layout feasibility. We introdu…
cs.NE2024
RNC: Efficient RRAM-aware NAS and Compilation for DNNs on Resource-Constrained Edge Devices
Kam Chi Loong, Shihao Han, Sishuo Liu +2
Computing-in-memory (CIM) is an emerging computing paradigm, offering noteworthy potential for accelerating neural networks with high parallelism, low latency, and energy efficienc…