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Ferroelectric FET based Non-Volatile Analog Synaptic Weight Cell

机译:基于铁电FET的非易失性模拟突触重量单元

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摘要

Dense analog synaptic crossbar arrays are a promising candidate for neuromorphic hardware accelerators due to the ability to mitigate data movement by performing in-situ vector-matrix products and weight updates within the storage array itself. However, many analog weight storage cells suffer from long latencies or low dynamic ranges, limiting the achievable performance. In this work, we demonstrate that the voltage-controlled partial polarization switching dynamics in ferroelectric-field-effect transistors (FeFET) can be harnessed to enable a 32 state non-volatile analog synaptic weight cell with large dynamic range (67) and low latency weight updates (50 ns) for an amplitude modulated pulse scheme.

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