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Dot-product engine for neuromorphic computing: programming 1T1M crossbar to accelerate matrix-vector multiplication.

, , , , , , , , , и . DAC, стр. 19:1-19:6. ACM, (2016)

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Prospects for Analog Circuits in Deep Networks., , и . CoRR, (2021)Integration of Physics-Derived Memristor Models with Machine Learning Frameworks., , , и . CoRR, (2024)Non-idealities and Design Solutions for Analog Memristor-Based Content-Addressable Memories., , , и . NANOARCH, стр. 17:1-17:6. ACM, (2023)Physics-based memristor models., , и . ISCAS, стр. 217-220. IEEE, (2013)Dot-product engine as computing memory to accelerate machine learning algorithms., , , и . ISQED, стр. 374-379. IEEE, (2016)Regular Expression Matching with Memristor TCAMs., , , , , , , , , и 2 other автор(ы). ICRC, стр. 1-11. IEEE, (2018)Local Fading Memory Effects in a Tantalum Oxide ReRAM Cell from Hewlett Packard Labs., , , , , , и . MetroXRAINE, стр. 971-976. IEEE, (2023)Accelerating Discrete Fourier Transforms with dot-product engine., и . ICRC, стр. 1-5. IEEE Computer Society, (2016)Hardware-Software Co-Design for an Analog-Digital Accelerator for Machine Learning., , , , , , , , , и 10 other автор(ы). ICRC, стр. 1-13. IEEE, (2018)Newton: Gravitating Towards the Physical Limits of Crossbar Acceleration., , , , , , и . IEEE Micro, 38 (5): 41-49 (2018)