Data characteristic-based error correction systems and methods
AssigneeMicron Technology, Inc.
InventorsFa-Long Luo, Jaime Cummins
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Abstract
Apparatuses and methods for error correction based on data characteristics are disclosed. Data characteristics can include importance of the data. Data is received at a memory controller from a host device, and a characteristic of the received data is determined. A level of error correction is selected from a plurality of error correction levels for the received data based on the determined characteristic. The received data and an error correction code are written to a memory. The error correction code is generated based on the selected level of error correction. In some implementations, the characteristic of the received data is determined using a neural network.
Claims20
A method, comprising:
- receiving a plurality of data;
- receiving characteristics associated with the plurality of data;
- generating a training dataset using the plurality of data and the characteristics associated with the plurality of data;
- and
- training a neural network using the training dataset to determine a data characteristic of a particular data.
An apparatus, comprising:
- a memory controller configured to:
- receive a plurality of data from a plurality of memory devices;
- receive characteristics associated with the plurality of data;
- generating a training dataset using the plurality of data and the characteristics associated with the plurality of data;
- and
- training a neural network using the training dataset to determine a data characteristic of a particular data.
Dependencies are inferred from the claim text.