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20232026
most citedEfficient Reprogramming of Memristive Crossbars for DNNs: Weight Sorting and Bit Stucking

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cs.AR2025

MDM: Manhattan Distance Mapping of DNN Weights for Parasitic-Resistance-Resilient Memristive Crossbars

Matheus Farias, Wanghley Martins, H. T. Kung

Manhattan Distance Mapping (MDM) is a post-training deep neural network (DNN) weight mapping technique for memristive bit-sliced compute-in-memory (CIM) crossbars that reduces para…