A Charge-Domain Scalable-Weight In-Memory Computing Macro With Dual-SRAM Architecture for Precision-Scalable DNN Accelerators

IEEE Transactions on Circuits and Systems I: Regular Papers(2021)

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摘要
This paper presents a charge-domain in-memory computing (IMC) macro for precision-scalable deep neural network accelerators. The proposed Dual-SRAM cell structure with coupling capacitors enables charge-domain multiply and accumulate (MAC) operation with variable-precision signed weights. Unlike prior charge-domain IMC macros that only support binary neural networks or digitally compute weighted s...
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关键词
Computer architecture,Microprocessors,Merging,Capacitors,SRAM cells,Couplings,Transistors
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