Preprint
Aug 2026
You Only Charge Once 2.0 : A End-to-End Analog Computing-in-Memory Architecture with Reconfigurable Switched Capacitors
Analog Computing-in-Memory (ACiM) accelerates deep neural networks by keeping weights inside memory arrays and executing dot products in the analog domain. However, modern ACiM accelerators are often limited by the"ADC wall": analog-to-digital converters consume a large fraction of energy and area, while bit-sliced exe...
Zihao Xuan, Ye-Wen Li, Jia Chen et al.
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