Abstract: Methods, systems, and apparatuses include receiving a codeword stored in a memory device. Syndrome information and energy function values are determined for bits of the codeword. A bit flipping criterion is selected using the syndrome information from a plurality of values. A bit of the codeword is flipped when the energy function values for a bit of the codeword satisfies the bit flipping criterion. A corrected codeword that results from the flipping of the bits is returned.

Abstract: Methods, systems, and apparatuses include receiving a codeword stored in a memory device. Syndrome information and energy function values are determined for bits of the codeword. A bit flipping criterion is selected using the syndrome information from a plurality of values. A bit of the codeword is flipped when the energy function values for a bit of the codeword satisfies the bit flipping criterion. A corrected codeword that results from the flipping of the bits is returned.

Abstract: Systems, methods, and apparatus related to a multi-level error correction architecture used for copying data in memory devices. In one approach, user data is stored in the first partition of a non-volatile memory. First error correction code data is generated for the user data and stored with the user data in the first partition. Second error correction code data is generated for the user data and stored outside the first partition. The second error correction code data provides an increased error correcting capability that is compatible with the error correction algorithm used with the first error correction code data. A copyback operation is used to copy the user data and the first error correction code, but not the second error correction code, to a second partition of the non-volatile memory. The second error correction code can be selectively used if there is a need to recover portions of the user data stored in the first partition.

Abstract: A memory sub-system configured to iterative calibrate read voltages, where higher read voltages are calibrated based on the calibration results of lower read voltages. For example, a memory device initially determines first read voltages of a group of memory cells. The memory device calculates a second read voltage optimized to read the group of memory cells according to first signal and noise characteristics measured based on at least one of the first read voltages. A third read voltage is estimated based on an offset of the second read voltage from a corresponding voltage among the first read voltages. Second signal and noise characteristics of the group of memory cells are measured based on the third read voltage. The memory device then calculates a fourth read voltage optimized to read the group of memory cells according to the second signal and noise characteristics.

Abstract: A processing device of a memory sub-system is configured to identify a read level of a plurality of read levels associated with a voltage bin of a plurality of voltage bins of a memory device; assign a first threshold voltage offset to the read level of the voltage bin; assign a second threshold voltage offset to the read level of the voltage bin; perform, on block associated with the read level, a first operation of a first operation type using the first threshold voltage offset; and perform, on the blocks associated with the read level, a second operation of a second operation type using the second threshold voltage offset.

Abstract: A processing device in a memory system reads a sense word from a memory device and executes a plurality of parity check equations on corresponding subsets of the sense word to determine a plurality of parity check equation results. The processing device determines a syndrome for the sense word using the plurality of parity check equation results, determines whether the syndrome for the sense word satisfies a codeword criterion, and responsive to the syndrome for the sense word not satisfying the codeword criterion, performs an iterative low density parity check (LDPC) correction process, wherein at least one criterion of the iterative LDPC correction process is adjusted after a threshold number of iterations is performed.

Abstract: An initial value of a power cycle count associated with the memory device is identified. The power cycle count is incremented responsive to detecting a powering up of the memory device. Responsive to programming a block residing in the memory device, the block is associated with a current block family associated with the memory device. A currently value of the power cycle count is determined. Responsive to determining that a difference between the initial value of the power cycle count and the current value of the power cycle count satisfies a predefined condition, the current block family is closed.

Abstract: A memory sub-system configured to dynamically select an option to process encoded data retrieved from memory cells of a memory component, based on a prediction generated using signal and noise characteristics of memory cells storing the encoded data. For example, the memory component is enclosed in an integrated circuit and has a calibration circuit. The signal and noise characteristics are measured by the calibration circuit as a byproduct of executing a read command in the memory component to retrieve the encoded data. A data integrity classifier configured in the memory sub-system generates a prediction based on the signal and noise characteristics. Based on the prediction, the memory sub-system selects an option from a plurality of options configured in the memory sub-system to process the encoded data.

Abstract: A processing device in a memory sub-system monitors a temperature associated with a block of a memory device, the block comprising a plurality of wordlines. The processing device further determines a first amount of time between when memory cells associated with a first wordline of the plurality of wordlines of the block were written and when memory cells associated with a last wordline of the plurality of wordlines of the block were written. That first amount of time is normalized according to the temperature associated with the block. The processing device further determines, based at last in part on the first amount of time and on an associated scaling factor, an estimate of when the block will reach a uniform charge loss state.

Abstract: A processing device in a memory sub-system detects an occurrence of a triggering event, determines respective levels of charge loss associated with a first representative wordline of a block of a memory device and with a second representative wordline of the block of the memory device, and determines whether a difference between the respective levels of charge loss satisfies a threshold criterion. Responsive to determining that the difference between the respective levels of charge loss satisfies the threshold criterion, the processing device further determines that the block is in a uniform charge loss state.

Abstract: A method includes receiving a request to perform a set of read operations. The method includes selecting a random read operation of the set of read operations, where the random read operation is performed on a first wordline located on a first portion of a first data block on a memory device. The method includes performing an error detection operation on a second wordline and a third wordline located on the first portion of the first data block to determine an error rate associated with the second wordline and third wordline, where the second wordline and the third wordline are adjacent to the first wordline. The method includes determining whether the error rate satisfies a threshold criterion responsive to determining that the error rate satisfies the threshold criterion and migrating data stored on the first portion of the first data block to a second data block on the memory device.

Abstract: A memory sub-system configured to: measure a plurality of sets of signal and noise characteristics of a group of memory cells in a memory device; determine a plurality of optimized read voltages of the group of memory cells from the plurality of sets of signal and noise characteristics respectively; generate features from the plurality of sets of signal and noise characteristics, including at least one compound feature generated from the plurality of sets of signal and noise characteristics; generate, using the features, a classification of a bit error rate of data retrievable from the group of memory cells; and control an operation to read the group of memory cells based on the classification.

Abstract: A request to retrieve user data stored at a memory device is received and a first error control operation associated with the user data is performed. An indication of a failure of the first error control operation is received, and in response, a subset of system data stored at the memory device is identified. A second error control operation is performed on the subset of the system data to retrieve the subset of the system data stored at the memory device, and the user data is read by using the subset of the system data retrieved based on the performing of the second error control operation.

Abstract: Methods, systems, and apparatuses include receiving a codeword stored in a memory device. Energy function values are determined for bits of the codeword based on soft information for the bits of the codeword. A bit of the codeword is flipped when the energy function values for a bit of the codeword satisfies a bit flipping criterion. A corrected codeword that results from the flipping of the bits is returned.

Abstract: An indication of a programming temperature at which data is written at a first location of the memory component is received. If it is indicated that the programming temperature is outside of a temperature range associated with the memory component, the data written to the first location of the memory component is re-written to a second location of the memory component when an operating temperature of the memory component returns within the temperature range.

Abstract: A determination that a first programming operation has been performed on a particular memory cell can be made. A determination can be made, based on one or more threshold criteria, whether the particular memory cell has transitioned from a state associated with a decreased error rate to another state associated with an increased error rate. In response to determining that the particular memory cell has transitioned from the state associated with the decreased error rate to the another state associated with the increased error rate, an operation can be performed on the particular memory cell to transition the particular memory cell from the another state associated with the increased error rate to the state associated with the decreased error rate.

Abstract: Systems and methods are disclosed including a memory device and a processing device operatively coupled to the memory device. The processing device can perform operations including detecting a read error with respect to data residing in a block of the memory device, wherein the block is associated with a voltage offset bin, determining an ordered set of error-handling operations to be performed to the data, determining a most recently performed error-handling operation associated with the voltage offset bin; adjusting an order of the set of error-handling operations by positioning the most recently performed error-handling operation within a predetermined position in the order of the set of error-handling operations; and performing one or more error-handling operations of the set of error-handling operations in the adjusted order until data associated to the read error is recovered.

Abstract: A memory device having a Low-Density Parity-Check (LDPC) decoder that is energy efficient and has a low error floor. The decoder is configured to determine syndromes of bits in a codeword, select bits in the codeword based at least in part on the syndromes according to a first mode, and flip the selected bits in the codeword. The decoder can repeat the bit selection and flipping operations to iteratively improve the codeword and reduce parity violations. Further, the decoder can detect a pattern in parity violations of the codeword in its iterative bit flipping operations. In response, the decoder can change from the first mode to a second mode in bit selection for flipping. For example, the decoder can transmit from a dynamic syndrome mode to a static syndrome mode in response to the pattern of repeating a cycle of bit flipping iterations.

Abstract: Methods, systems, and apparatus for error correction with syndrome computation in a memory device are described. A first syndrome for first encoded data is generated in a memory device. The first syndrome and the first encoded data are transmitted to a controller that is coupled with the memory device. A second syndrome for first and second encoded data is generated. The first encoded data and the second encoded data are interrelated according to an error correction code. The second syndrome is transmitted to the controller without the second encoded data and the controller is to decode the first encoded data based on at least one of the first syndrome, the second syndrome, or a combination thereof.

Abstract: Methods, systems, and apparatuses include receiving a codeword stored in a memory device. The codeword is error corrected for a first number of iterations. The error correction includes traversing the codeword according to a first order. The codeword is error corrected for a second number of the iterations. The error correction of the codeword during a second iteration from the second number of iterations includes traversing the codeword according to a second order that is different from the first order.