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Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error.

, , , , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (4): 1052-1061 (December 2023)

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Gradient descent-based programming of analog in-memory computing cores., , , , , , , , , and 4 other author(s). CoRR, (2023)Accurate Weight Mapping in a Multi-Memristive Synaptic Unit., , , , , , , , , and . ISCAS, page 1-5. IEEE, (2021)Quest for a solution to drift in phase change memory devices.. CoRR, (2024)Computational memory-based inference and training of deep neural networks., , , , , , , , , and 6 other author(s). VLSI Circuits, page 168-. IEEE, (2019)A Multi-Memristive Unit-Cell Array With Diagonal Interconnects for In-Memory Computing., , , , , , and . IEEE Trans. Circuits Syst. II Express Briefs, 68 (12): 3522-3526 (2021)Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error., , , , , , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 13 (4): 1052-1061 (December 2023)Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigation., , , , , , , , , and 21 other author(s). IRPS, page 1-6. IEEE, (2021)Deep learning acceleration based on in-memory computing., , , , , , , , , and 7 other author(s). IBM J. Res. Dev., 63 (6): 7:1-7:16 (2019)Measurement of onset of structural relaxation in melt-quenched phase change materials., , , , , , , and . CoRR, (2021)A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference., , , , , , , , , and 19 other author(s). CoRR, (2022)