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  • 學位論文

工作於次奈秒讀取且次毫瓦每千兆赫茲之28奈米製程0.45伏電壓之32Kb 5T之靜態隨機存取記憶體與記憶體內運算架構

A Sub-ns-Access Sub-mW/GHz 28nm 0.45V 32Kb 5T SRAM Implementation and In Memory Computing Architecture

指導教授 : 周世傑
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參考文獻


[1] A. Biswas and A. P. Chandrakasan, “Conv-RAM: An energy-efficient SRAM with embedded
convolution computation for low-power CNN-based machine learning applications,”
488–490.
[2] Han, S, “Efficient Methods and Hardware for Deep Learning,” https://stacks.stanford.
edu/file/druid:qf934gh3708/EFFICIENT%20METHODS%20AND%20HARDWARE%

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