Abstract: A method is provided to control a content addressable memory that includes multiple integrated circuit memory devices that include common memory address locations and that are coupled for simultaneous access to the common memory address locations, the method comprising; determining a hash value, based upon a received key value, that corresponds to a common memory address location of the multiple memory devices; providing activity status information for multiple common memory address locations of the memory devices; selecting a memory devices from which to output stored content data from the corresponding common memory address location, based upon storage activity status information; and causing the selected one or more memory devices to output stored content data.

Abstract: A data management device selects acquisition data of a deletion target from a storage device storing multiple acquisition data acquired by a board work machine performing a predetermined board work on a board. The data management device includes an acquisition section and a selection section. The acquisition section divides an evaluation index when evaluating a target object extracted from the acquisition data or the board work using the target object into multiple classes and acquires frequency-related information obtained by calculating a frequency of the acquisition data belonging to each of the classes for the multiple acquisition data of the same type stored in the storage device. The selection section selects the acquisition data having a higher frequency as the acquisition data of the deletion target by using the frequency-related information acquired by the acquisition section.

Abstract: Systems and methods for managing host virtual addresses in a system call are disclosed. In one implementation, a processing device may receive, by a supervisor managing a first application), a system call initiated by the first application, wherein a first parameter of the system call specifies a memory buffer virtual address of the first application and a second parameter of the system call specifies the memory buffer virtual address of the second application. The processing device may also translate the memory buffer virtual address of the first application to a first physical address and may translate the memory buffer virtual address of the second application to a second physical address. The processing device may further compare the first physical address to the second physical address and responsive to determining that the first physical address matches the second physical address, the processing device may execute the system call using the memory buffer virtual address of the second application.

Abstract: A processing device in a memory sub-system maintains a mapping data structure to track data movements from a plurality of data management units associated with a media management operation on a memory device. The processing device further uses a first indicator and a second indicator of a plurality of indicators to indicate which data of data management units of a source group of data management units have been copied to a destination group of data management units during the media management operation. Data located in data management units preceding the first indicator have been copied to data management units of the destination group of data management units. Data located in data management units associated with the first indicator and the second indicator or between the first indicator and the second indicator are either copied to data management units of the destination group of data management units or remain located in data management units of the source group of data management units.

Abstract: Systems and methods are disclosed including a processing device operatively coupled to memory device. The processing device performs operations comprising generating a super management unit (SMU) memory access command; splitting the SMU memory access command into a plurality of management unit (MU) memory access commands; indexing, in an index data structure, each MU memory access command of the plurality of MU memory access commands; issuing, to the memory device, a sequence of MU memory access commands from the plurality of MU memory access commands; receiving an indication that a MU memory access command from the sequence of MU memory access commands is completed; and responsive to determining that the completed MU memory access command satisfies a criterion, issuing an available MU memory access command based on an index value of the available MU memory access command.

Abstract: Sizing resources for a replication target, including: determining an initial resource requirement for a replication source; determining a retention resource requirement for the replication source; and reporting, in dependence on the initial resource requirement and the retention resource requirement, a total resource requirement for replicating the replication source.

Abstract: A data storage device includes a memory device and a controller coupled to the memory device. The controller is configured to determine a health of a plurality of wordlines of a block of a plurality of blocks, receive key value (KV) pair data, select a wordline of the plurality of wordlines based on the health, and program the KV pair data to the selected wordline. The KV pair data includes a value length and a relative performance indicator. The controller is further configured to mark a block of the plurality of blocks due to a high bit error rate (BER) indication, where the marked block is KV operable only. The non-KV pair data stored in the marked block is relocated to a non-marked block.

Abstract: Methods, systems, and devices for adjusting a granularity associated with read disturb tracking are described. In some examples, a memory system may receive a set of read commands from a host system instructing the memory system to read data stored at a memory array. The memory system may track a quantity of executed read commands corresponding to a first portion of the memory array according to a first granularity and determine whether the quantity of read commands satisfies a threshold. If the quantity of read commands satisfies the threshold, the memory system may adjust the granularity for tracking executed read commands for the first portion from the first granularity to a second granularity. For example, the memory system may increase or decrease the granularity for tracking executed read commands for the first portion. The memory system may use the tracked quantities of executed read commands for read disturb remediation.

Abstract: Determining effective space utilization in a storage system, including: identifying an amount of data stored within the storage system that is associated with a user-visible entity; identifying an amount of data stored within the storage system that is associated with all snapshots of the user-visible entity; and reporting, in dependence upon the an amount of data stored within the storage system that is associated with the user-visible entity and the amount of data stored within the storage system that is associated with all snapshots of the user-visible entity, a total capacity utilization associated with the user-visible entity.

Abstract: A method includes receiving a command to write data to a memory device and writing the data to a first memory tier of the memory device. The first memory tier of the memory device is a dynamic memory tier that utilizes single level cells (SLCs), multi-level cells (MLCs), and triple level cells (TLCs). The method further includes migrating the data from the first memory tier of the memory device to a second memory tier of the memory device. The second memory tier of the memory device is a static memory tier that utilizes quad level cells (QLCs).

Abstract: Methods and apparatus are provided for arbitrating access to, and usage of, various device resources of a data storage device (DSD) configured for Machine Learning with Low-Power. The data storage device may include a TinyML controller with an artificial intelligence (AI) accelerator integrated with a data storage controller on a system-on-a-chip (SoC). The device resources may be, e.g., storage resources such as random access memory (RAM) devices, non-volatile memory (NVM) arrays, and latches formed on NVM dies of the NVM arrays. The resource arbitration may be based, for example, on parameters pertaining to ML operations performed by an ML controller that includes the AI accelerator, such as a turnaround time of an ML epoch or a stage-wise execution time. The resource arbitration is configured to provide for the efficient interleaving of the ML/AI operations performed by the ML controller and data storage operations performed by the data storage controller.

Abstract: A semiconductor memory device includes a buffer die and a plurality of memory dies. An error correction code (ECC) engine in one of the memory dies performs an RS encoding on a main data to generate a parity data and performs a RS decoding, using a parity check matrix, on the main data and the parity data. The parity check matrix includes sub matrixes and each of the sub matrixes corresponds to two different symbols. Each of the sub matrixes includes two identity sub matrixes and two same alpha matrixes, the two identity sub matrixes are disposed in a first diagonal direction of the sub matrix and the two same alpha matrixes are disposed in a second diagonal direction. A number of high-level value elements in a y-th row of the parity check matrix is the same as a number of high-level value elements in a (y+p)-th row.

Abstract: The disclosure herein describes storing data using a capacity data storage tier and a smaller performance data storage tier. The capacity data storage tier includes capacity data storage hardware configured to store log-structured leaf pages (LLPs), and the performance data storage tier includes performance data storage hardware. A virtual address table (VAT) includes a set of virtual address entries referencing the LLPs. A tree-structured index includes index nodes referencing the set of virtual address entries of the VAT. Data to be stored is received, and at least a first portion of metadata associated with the received data is stored in the LLPs using the VAT, and at least a second portion of metadata associated with the received data is stored in the performance data storage tier. The architecture reduces space usage of the performance data storage tier.

Abstract: Ensuring the appropriate utilization of system resources using weighted workload based, time-independent scheduling, including: receiving an I/O request associated with an entity; determining whether an amount of system resources required to service the I/O request is greater than an amount of available system resources in a storage system; responsive to determining that the amount of system resources required to service the I/O request is greater than the amount of available system resources in the storage system: queueing the I/O request in an entity-specific queue for the entity; detecting that additional system resources in the storage system have become available; and issuing an I/O request from an entity-specific queue for an entity that has a highest priority, where a priority for each entity is determined based on the amount of I/O requests associated with the entity and a weighted proportion of resources designated for use by the entity.

Abstract: A system for managing power loss can include a number of memory devices including a volatile memory device and a non-volatile memory device and a processing device operatively coupled with the plurality of memory devices. The processor can save a snapshot of a logical-to-physical (L2P) table to a non-volatile memory device and maintain a journal of updates of the L2P. The processor can, in response to a parameter of journal buffer of a volatile memory device satisfying a threshold criterion, save at least one journal of updates of the L2P table to the non-volatile memory device. It can also retrieve a sequence number from system metadata and save the most recent set of updates of the L2P table to a dedicated area of the non-volatile memory device, where the dedicated area is identified by the sequence number, in response to detecting a power loss event.

Abstract: Physical storage devices (PSDs) of a protection group cluster (PGC) may be represented by a protection group matrix (PGM) having a plurality of rows and a plurality of columns, where each row corresponds to a PSD of the PGC, and each column corresponds to a partition of each PSD. The value specified in each cell at an intersection of a row and column specifies the protection group of the PGC to which the partition of the PSD represented by the column and row, respectively, is (or will be) assigned. In response to one or more of PSDs being added to a PGC, the PGM may be reconfigured, including adding new rows, and transposing portions of columns to the new rows, or transposing portions of rows to portions of columns of the new rows. Protection members of the PGC may be re-assigned based on the reconfiguration.

Abstract: Apparatuses and methods related to commands to transfer data and/or perform logic operations are described. For example, a command that identifies a location of data and a target for transferring the data may be issued to a memory device. Or a command that identifies a location of data and one or more logic operations to be performed on that data may be issued to a memory device. A memory module may include different memory arrays (e.g., different technology types), and a command may identify data to be transferred between arrays or between controllers for the arrays. Commands may include targets for data expressed in or indicative of channels associated with the arrays, and data may be transferred between channels or between memory devices that share a channel, or both. Some commands may identify data, a target for the data, and a logic operation for the data.

Abstract: Methods and systems for a networked storage system are provided. One method includes: generating, by a first node, a dummy entry in a storage location cache of the first node, the dummy entry associated with a read request received by the first node for data stored using a logical object owned by a second node; receiving, by the first node, an invalidation request to invalidate any storage location entry associated with the data, the invalidation request sent in response to the second node receiving a write request to modify the data; invalidating, by the first node, the dummy entry; receiving, by the first node, a response to the read request from the second node with the requested data; and replacing, by the first node, the dummy entry with a storage location entry and invalidating the storage location entry based on the invalidated dummy entry.

Abstract: The present technology includes a memory controller that allocates a new buffer memory area in a buffer memory or stores temporarily stored data in the buffer memory into a memory device based on a state of an auxiliary power device that supplies power to the memory device and the memory controller, and a power state of a host.

Abstract: Devices and methods for cache prefetching are provided. A device is provided which comprises memory and a processor. The memory comprises a DRAM cache, a cache dedicated to the processor and one or more intermediate caches between the dedicated cache and the DRAM cache. The processor is configured to issue prefetch requests to prefetch data, issue data access requests to fetch the data and when one or more previously issued prefetch requests are determined to be inaccurate, issue a prefetch request to prefetch a tag, corresponding to the memory address of requested data in the DRAM cache. A tag look-up is performed at the DRAM cache without performing tag look-ups at the dedicated cache or the intermediate caches. The tag is prefetched from the DRAM cache without prefetching the requested data.