A 12nm 137 TOPS/W Digital Compute-In-Memory using Foundry 8T SRAM Bitcell supporting 16 Kernel Weight Sets for AI Edge Applications - researchr publication authors

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Gajanan Jedhe, Chetan Deshpande, Sushil Kumar, Cheng-Xin Xue, Zijie Guo, Ritesh Garg, Kim Soon Jway, En-Jui Chang, Jenwei Liang, Zhe Wan, Zhenhao Pan. A 12nm 137 TOPS/W Digital Compute-In-Memory using Foundry 8T SRAM Bitcell supporting 16 Kernel Weight Sets for AI Edge Applications. In 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), Kyoto, Japan, June 11-16, 2023. pages 1-2, IEEE, 2023. [doi]

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