摘要:
Various embodiments of the present disclosure provide a method of operating a non-volatile memory and an electronic device adapted to the method. When the possibility that power will be cut off in the electronic device is low or almost zero, the provision operation (e.g., an LSB backup) is interrupted which is capable of preventing data from being erased against a situation where the power is cut off. The method of managing a storage device includes: transferring an initialization command to a non-volatile memory functionally connected to a storage device; transferring a command for interrupting or executing an LSB backup to the storage device controller included in the non-volatile memory; and interrupting or executing, by the storage device controller, the LSB backup according to the LSB backup interrupt or execute command. Other modifications are provided.
摘要:
Various embodiments of the present disclosure provide a method of operating a non-volatile memory and an electronic device adapted to the method. When the possibility that power will be cut off in the electronic device is low or almost zero, the provision operation (e.g., an LSB backup) is interrupted which is capable of preventing data from being erased against a situation where the power is cut off. The method of managing a storage device includes: transferring an initialization command to a non-volatile memory functionally connected to a storage device; transferring a command for interrupting or executing an LSB backup to the storage device controller included in the non-volatile memory; and interrupting or executing, by the storage device controller, the LSB backup according to the LSB backup interrupt or execute command. Other modifications are provided.
摘要:
A method for modeling a serializer/deserializer (SerDes) model includes generating plural data sets including noise simulation data of the SerDes model and output measurement data of an actual SerDes, training a machine learning model based on the plural data sets, and applying the trained machine learning model and an estimation model to a model included in the SerDes model. The estimation model provides the noise simulation data as an input to the trained machine learning model.