References
Zhang W Q, Gao B, Tang J, et al. Neuro-inspired computing chips. Nat Electron, 2020, 3: 371–382
Yao P, Wu H Q, Gao B, et al. Fully hardware-implemented memristor convolutional neural network. Nature, 2020, 577: 641–646
Zhang W Q, Gao B, Yao P, et al. Array-level boosting method with spatial extended allocation to improve the accuracy of memristor based computing-in-memory chips. Sci China Inf Sci, 2021, 64: 160406
Zhou Y, Gao B, Zhang Q, et al. Application of mathematical morphology operation with memristor-based computation-in-memory architecture for detecting manufacturing defects. Fundamental Res, 2022, 2: 123–130
Chang L, Li C L, Zhang Z M, et al. Energy-efficient computing-in-memory architecture for AI processor: device, circuit, architecture perspective. Sci China Inf Sci, 2021, 64: 160403
Acknowledgements
This work was supported in part by STI 2030-Major Projects (Grant No. 2021ZD0201205), National Natural Science Foundation of China (Grant Nos. 92064001, 62025111), Beijing Advanced Innovation Center for Integrated Circuits, and XPLORER Prize.
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Appendixes A–E. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.
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Yu, R., Zhang, W., Gao, B. et al. CLEAR: a full-stack chip-in-loop emulator for analog RRAM based computing-in-memory system. Sci. China Inf. Sci. 66, 229402 (2023). https://doi.org/10.1007/s11432-022-3756-3
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DOI: https://doi.org/10.1007/s11432-022-3756-3