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- W3005256153 abstract "FNSim, a device-circuit-algorithm codesigned simulator is developed to evaluate and optimize the performance of flash based neural network. The accuracy, layout area, energy consumption and delay of different flash based neural networks can be evaluated by inputting the dataset, network topology, circuit netlist and device model parameters to the simulator. A convolutional neural network of Lenet-5 is designed to classify MNIST digits as a case study to show how to optimize the performance of flash based neural network with the developed simulator." @default.
- W3005256153 created "2020-02-14" @default.
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- W3005256153 date "2019-10-01" @default.
- W3005256153 modified "2023-10-05" @default.
- W3005256153 title "FNSim: A Device-Circuit-Algorithm Codesigned Simulator for Flash based Neural Network" @default.
- W3005256153 doi "https://doi.org/10.1109/asicon47005.2019.8983447" @default.
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