Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to program key value (KV) pair data to the memory device, where the KV pair data includes a key and a value, analyze the key, and generate metadata based on the analyzing. The controller is further configured to generate a metadata index for a plurality of KV pair data, where the metadata index value corresponds to a similarity or a difference between a first key and a second key, and cluster generated metadata based on the metadata index. The controller is further configured to receive a read command for the KV pair data, analyze the generated metadata of the KV pair data, generate a predicted next key, and use read look ahead (RLA) to read a predicted next KV pair data based on the predicted next key.

Abstract: A storage system includes two or more data storage devices and a controller coupled to the two or more data storage devices. Each data storage device of the two or more data storage devices includes zoned namespace (ZNS) architecture. The controller is configured to collect thermal statistics for each data storage device of the two or more data storage devices, analyze the collected thermal statistics, and designate a zone by selecting one or more dies within at least one data storage device of the two or more data storage devices based on the analyzed collected thermal statistics. The data storage device includes a memory device having a plurality of dies and a controller coupled to the memory device. The controller is configured to collect thermal statistics for each die of the plurality of dies, analyze the collected statistics, and allocate one or more dies to form a zone.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data from a host device, where the KV pair data includes a key and a value, store the received KV pair data in an intermediate storage location, match the received KV pair data to another one or more KV pair data stored in the intermediate storage location, where the matching is based on a utilization parameter of a storage container of the memory device, aggregate the matched received KV pair data and the another one or more KV pair data stored in the intermediate storage location, and program the aggregated KV pair data to the memory device.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data from a host device, where the KV pair data includes a key and a value, determine whether the KV pair data corresponds to a first tier or a second tier, where the second tier has a lower performance requirement than the first tier, and program the value of the KV pair data as padding data when the KV pair data corresponds to the second tier. The determining is based on a received hint of the KV pair data, a relative performance of the KV pair data, and a length of the KV pair data. The controller is configured reclassify the KV pair data based on a read frequency of the KV pair data.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data, determine an entropy value of the received KV pair data, select an error correction code (ECC) code rate based on the determined entropy value, and program the KV pair data to a codeword (CW). The KV pair data includes a key and a value. The programming includes encoding the KV pair data using the selected ECC code rate. The controller is further configured to aggregate a portion of another KV pair data and the KV pair data and program the aggregated KV pair data to the CW using a selected ECC code rate.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data from a host device, where the KV pair data includes a key and a value, determine whether the KV pair data corresponds to a first tier or a second tier, where the second tier has a lower performance requirement than the first tier, and program the value of the KV pair data as padding data when the KV pair data corresponds to the second tier. The determining is based on a received hint of the KV pair data, a relative performance of the KV pair data, and a length of the KV pair data. The controller is configured reclassify the KV pair data based on a read frequency of the KV pair data.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data from a host device, where the KV pair data includes a key and a value, store the received KV pair data in an intermediate storage location, match the received KV pair data to another one or more KV pair data stored in the intermediate storage location, where the matching is based on a utilization parameter of a storage container of the memory device, aggregate the matched received KV pair data and the another one or more KV pair data stored in the intermediate storage location, and program the aggregated KV pair data to the memory device.

Abstract: A storage system has an inference engine that can infer a read threshold based on a plurality of parameters of the memory. The read threshold can be used in reading a wordline in the memory during a regular read operation or as part of an error handling process. Using this machine-learning-based approach to infer a read threshold can provide significant improvement in read threshold accuracy, which can reduce bit error rate and improve latency, throughput, power consumption, and quality of service. In another embodiment, a storage system is configured to use a binary full-depth symmetrically-sorted tree to infer a read threshold based on a plurality of parameters of the memory.

Abstract: Embodiments of the present disclosure generally relate to storage devices, such as SSDs. A data storage device comprises an encrypted interface, one or more flash memory devices, and a controller configured to receive one or more workloads of data through the encrypted interface. Upon a threshold being met, the controller performs a diagnosis of one or more operating parameters of the one or more workloads of data. Based on the diagnosis, the data storage device is optimized by recalibrating one or more of: a partitioning of bits per cell of the one or more flash memory devices, one or more flash management parameters of the data storage device, and a programming rate of the storage device.

Abstract: A storage system has an inference engine that can infer a read threshold based on a plurality of parameters of the memory. The read threshold can be used in reading a wordline in the memory during a regular read operation or as part of an error handling process. Using a machine-learning-based approach to infer a read threshold can provide significant improvement in read threshold accuracy, which can reduce bit error rate and improve latency, throughput, power consumption, and quality of service. In another embodiment, a circuit-bounded array is used to manage updates to time and temperature tag information and to infer read thresholds.

Abstract: A storage system has an inference engine that can infer a read threshold based on a plurality of parameters of the memory. The read threshold can be used in reading a wordline in the memory during a regular read operation or as part of an error handling process. Using this machine-learning-based approach to infer a read threshold can provide significant improvement in read threshold accuracy, which can reduce bit error rate and improve latency, throughput, power consumption, and quality of service.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to program key value (KV) pair data to the memory device, where the KV pair data includes a key and a value, analyze the key, and generate metadata based on the analyzing. The controller is further configured to generate a metadata index for a plurality of KV pair data, where the metadata index value corresponds to a similarity or a difference between a first key and a second key, and cluster generated metadata based on the metadata index. The controller is further configured to receive a read command for the KV pair data, analyze the generated metadata of the KV pair data, generate a predicted next key, and use read look ahead (RLA) to read a predicted next KV pair data based on the predicted next key.

Abstract: The present disclosure generally relates partial speed changes to improve in-order data transfer. Rather than determining an ECC decoder on a first available decoder basis, the ECC decoder may be based on the ECC decoder level. A memory device will have at least one FMU that has a syndrome weight (SW). The disclosure proposes assigning FMU's based on the SW rate. At the time the command is read, the data storage device determines which level of decoder will be assigned to the FMU. The determination will then be checked according to different system environment parameters to maintain performance or reduce power consumption. The arrangement allows a more flexible system design that can adapt according to the current system status.

Abstract: A data storage device comprises a first memory, a second memory, and a controller. The first memory has a faster access time than the second memory. The controller is configured to store host-initialization code in the first memory, store a copy of the host-initialization code in the second memory, determine that the copy of the host-initialization code should be designated as the main version of the host-initialization code, and relocate the copy of the host-initialization code to the first memory, which makes the copy of the host-initialization code the main version of the host-initialization code that is accessed to boot-up the host. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data, determine an entropy value of the received KV pair data, select an error correction code (ECC) code rate based on the determined entropy value, and program the KV pair data to a codeword (CW). The KV pair data includes a key and a value. The programming includes encoding the KV pair data using the selected ECC code rate. The controller is further configured to aggregate a portion of another KV pair data and the KV pair data and program the aggregated KV pair data to the CW using a selected ECC code rate.

Abstract: A storage system supports several memory mappings that translate data bits into different physical voltage levels in its non-volatile memory. The storage system receives a selection of one of the memory mappings from a host, which makes the selection based on an application or expected workload of the host. The storage system uses the selected memory mapping for a memory access operation, such as a read operation or a write operation.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is further configured to receive a key value (KV) pair data, determine a size of a value length and a size of a target wordline of the memory device for programming of the KV pair data, determine a size of residual data, store the residual data in a location separate from the target wordline and the KV pair data minus the residual data to the target wordline, and read the residual data from the location separate and the target wordline data in response to a read command for the KV pair data. The size of the value length is greater than the size of the target wordline. The size of the residual data is the size of the value length minus the size of the target wordline.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive key value (KV) pair data, group a plurality of KV pair data based on a data clustering value, aggregate the grouped plurality of KV pair data, and program the aggregated plurality of KV pair data to the memory device. A length of the KV pair data is less than a size of a flash management unit (FMU). The KV pair data includes a key and a value. Each KV pair data of the plurality of KV pair data has a length less than the size of the FMU. The received KV pair data is stored in a temporary location and grouped together in the temporary location. The grouping is based on a similarity of characteristics of plurality of KV pair data.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to determine an error correction code (ECC) code length for KV pair data and/or an ECC code rate for the KV pair data, where the ECC code length and the ECC code rate are selected according to a value length and decoding capability of the KV pair data, generate ECC parity based on the selecting, and program the KV pair data and the generated ECC parity to the memory device.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to receive a dataset management (DSM) hint, determine if a second physical memory range associated with a next read operation is located within a threshold number of physical block addresses (PBAs) to a first physical memory range associated with a current read operation, where the next read operation is provided by the DSM hint, and utilize at least a portion of a latency budget associated with the current read operation to optimize a read parameter of the first physical memory range.