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- W3215945854 abstract "SRAM-based In-Memory-Computing (IMC) for processing multiply-accumulate (MAC) operations is one of the promising techniques to overcome von-Neumann Bottleneck. The SRAM-based IMC generally requires multi-bit input activation to achieve a high inference accuracy. In this paper, a charge-sharing based 10T SRAM IMC architecture is proposed which can process multibit inputs on cell array by employing bit-line parasitic capacitances without Digital to Analog Converter (DAC). The proposed DAC-less multi-bit IMC can efficiently reduce computing energy without latency overhead. The hardware implementation with 28nm CMOS process shows that the proposed SRAM based IMC macro achieves 10.1TOPS/W with 7ns inference time at 1V and 91.4% CIFAR-10 inference accuracy." @default.
- W3215945854 created "2021-12-06" @default.
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- W3215945854 date "2021-10-06" @default.
- W3215945854 modified "2023-09-26" @default.
- W3215945854 title "A Charge-domain 10T SRAM based In-Memory-Computing Macro for Low Energy and Highly Accurate DNN inference" @default.
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- W3215945854 doi "https://doi.org/10.1109/isocc53507.2021.9613938" @default.
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