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- W2969449790 abstract "In this letter, we quantify the impact of device limitations on the classification accuracy of an artificial neural network, where the synaptic weights are implemented in a Ferroelectric FET (FeFET) based in-memory processing architecture. We explore a design-space consisting of the resolution of the analog-to-digital converter, number of bits per FeFET cell, and the neural network depth. We show how the system architecture, training models and overparametrization can address some of the device limitations." @default.
- W2969449790 created "2019-08-29" @default.
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- W2969449790 date "2019-08-12" @default.
- W2969449790 modified "2023-09-27" @default.
- W2969449790 title "Design space exploration of Ferroelectric FET based Processing-in-Memory DNN Accelerator" @default.
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