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cs.LG2026
OpenACMv2: An Accuracy-Constrained Co-Optimization Framework for Approximate DCiM
Yiqi Zhou, Yue Yuan, Yikai Wang +8
Digital Compute-in-Memory (DCiM) accelerates neural networks by reducing data movement. Approximate DCiM can further improve power-performance-area (PPA), but demands accuracy-cons…
cs.LG2025
Exploiting Function-Family Structure in Analog Circuit Optimization
Zhuohua Liu, Kaiqi Huang, Qinxin Mei +2
Analog circuit optimization is typically framed as black-box search over arbitrary smooth functions, yet device physics constrains performance mappings to structured families: expo…
cs.LG2024
KATO: Knowledge Alignment and Transfer for Transistor Sizing of Different Design and Technology
Wei W. Xing, Weijian Fan, Zhuohua Liu +2
Automatic transistor sizing in circuit design continues to be a formidable challenge. Despite that Bayesian optimization (BO) has achieved significant success, it is circuit-specif…