Abstract: A method for data sequence prediction and resource allocation includes determining, by a memory system, a plurality of resource parameters associated with operation of the memory system and determining respective time intervals associated with usage patterns corresponding to the memory system, the respective time intervals being associated with one or more sets of the plurality of resource parameters. The method further includes determining, using the plurality of resource parameters, one or more weights for hidden layers of a neural network for the respective time intervals associated with the usage patterns and allocating computing resources within the memory system for use in execution of workloads based on the determined one or more weights for hidden layers of the neural network.

Abstract: Methods, systems, and devices for overwriting at a memory system are described. A memory system may be configured to overwrite portions of a memory array with new data, which may be associated with omitting an erase operation. For example, write operations may be performed in accordance with a first demarcation configuration to store information at a portion of a memory array. A portion of a memory system may then determine to overwrite the portion of the memory array with different or updated information, which may include performing write operations in accordance with a second demarcation configuration. The second demarcation configuration may be associated with different cell characteristics for a one or more logic states, such as different distributions of stored charge or other cell property, different demarcation characteristics, different write operations, among other differences, which may support performing an overwrite operation without first performing an erase operation.

Abstract: Methods, systems, and devices for overwriting at a memory system are described. A memory system may be configured to overwrite portions of a memory array with new data, which may be associated with omitting an erase operation. For example, write operations may be performed in accordance with a first demarcation configuration to store information at a portion of a memory array. A portion of a memory system may then determine to overwrite the portion of the memory array with different or updated information, which may include performing write operations in accordance with a second demarcation configuration. The second demarcation configuration may be associated with different cell characteristics for a one or more logic states, such as different distributions of stored charge or other cell property, different demarcation characteristics, different write operations, among other differences, which may support performing an overwrite operation without first performing an erase operation.

Abstract: Methods, systems, and devices for dynamic status registers array are described. An apparatus may include one or more memory dice coupled with a data bus. The apparatus may further include a controller coupled with each of the memory dice via the data bus that is configured to transmit a first command associated with a first operation to a first memory die. The first command may assign an associated operation (e.g., the first operation) to a queue slot of a status bank that is associated with at least the first memory die. The controller may further transmit second command to the first memory die to request a status of the first operation. The controller may receive a status of the first operation via a channel (e.g., a first channel) of the data bus that is based on the assigned queue slot of the status bank.

Abstract: Methods, systems, and devices for adaptive throughput monitoring are described. In some examples, a memory system may be associated with one or more clocks that are each associated with a respective subcomponent. When the memory system receives a plurality of commands, the memory system may determine a throughput of the commands. Based on the determined throughput, the memory system may adjust a rate of one or more of the clocks.

Abstract: Systems, apparatuses, and methods related log compression are described. In an example, a system log that identifies targeted data may be compiled in a memory resource during an execution of an operation using that memory resource. The system log may be analyzed utilizing a portion of the memory resource that would otherwise be available to be utilized in the execution of the operation. The system log may be compressed during the execution of the operation, the level or timing of such compression may be based on the analysis that occurs contemporaneous to or as a result of executing the operation. In some examples, compressing the system log may include discarding a portion of the system log. Compressing the system log may also include extracting the targeted data from the system log as the system log is being compiled and converting the extracted targeted data to structured data.

Abstract: Systems, apparatuses, and methods related to host-based error correction are described. Error correction operations can be performed on a host computing system as opposed to on a memory system. For instance, data containing erroneous bits can be transferred from a memory system to a host computing system and error correction operations can be performed using circuitry resident on the host computing system. In an example, a method can include receiving, by a host computing system, data that comprises a plurality of uncorrected bits from a memory system coupleable to the host computing system, determining an acceptable error range for the data based at least in part on an application associated with the data, and performing, using error correction logic resident on the host computing system, an initial error correction operation on the data based at least in part on the acceptable error range.

Abstract: Systems, apparatuses, and methods related to object management in tiered memory systems are discussed. An example method can include writing data representative of a memory object of a first memory device. The first memory device can include a first type of memory medium includes a NAND Flash or a NOR Flash. The example method can include determining that a data size of the memory object is less than a threshold data size. The method can include writing the data representative of the memory object to a second memory device that includes a second type of memory medium. The second memory medium is a non-volatile memory that includes phase-change memory or resistive random access memory.

Abstract: Systems, apparatuses, and methods related to object management in tiered memory systems are discussed. An example method can include writing a memory object to a first memory device of a first type of memory medium. The example method can include determining that a size of the memory object meets or exceeds a threshold data size. The example method can include writing the memory object to a second memory device that comprises a second type of memory medium different than the first type. The first memory medium can be a non-volatile memory comprising phase-change memory or resistive random access memory (RAM) and the second memory medium can be NAND Flash or NOR Flash.

Abstract: Methods, systems, and apparatuses related to autonomous vehicle object detection are described. An autonomous vehicle can capture an image corresponding to an unknown object disposed within a sight line of the autonomous vehicle. Processing resources available to a plurality of memory devices associated with the autonomous vehicle can be reallocated in response to capturing the image and an operation involving the image corresponding to the unknown object to classify the unknown object can be performed using the reallocated processing resources.

Abstract: Methods, systems, and apparatuses related to autonomous vehicle object detection are described. A method can include receiving, by an autonomous vehicle, an indication that the autonomous vehicle has entered a network coverage zone generated by a base station and performing an operation to reallocate computing resources between a plurality of different types of memory devices associated with the autonomous vehicle in response to receiving the indication. The method can further include capturing, by the autonomous vehicle, data corresponding to an unknown object disposed within a sight line of the autonomous vehicle and performing, using the reallocated computing resources, an operation involving the data corresponding to the unknown object to classify the unknown object.

Abstract: Methods, systems, and apparatuses related to runtime selection of memory devices and storage devices in a disaggregated memory system are described. For example, a controller can be coupled to a plurality of memory device and a plurality of storage devices. The controller can receive signaling indicative of a memory request corresponding to execution of an application. Responsive to receiving the signaling indicative of the memory request, the controller can select a memory device or a storage device, or both, selecting from the plurality of memory devices or the plurality of storage devices, or both, to perform a memory operation associated with the memory request. Responsive to receiving the memory request and selecting the memory device or the storage device, or both, the controller can perform the memory operation using the selected memory device or the selected storage device, or both.

Abstract: Systems, apparatuses, and methods related to channel architecture for memory devices are described. Various applications can access data from a memory device via a plurality of channels. The channels can be selectively enabled or disabled based on the behavior of the applications. For instance, an apparatus in the form of a memory system can include an interface coupled to a controller and a plurality of channels. The controller can be configured to determine an aggregate amount of bandwidth used by a plurality of applications accessing data from a memory device coupled to the controller via the plurality of channels and disable one or more channels of the plurality of channels based, at least in part, on the aggregate amount of bandwidth used by the plurality of applications.

Abstract: Methods and systems associated with data modification are described. Examples can include receiving, at a controller of a device, data associated with a read or write command transmitted to a memory resource and modifying the data using logic before transmitting the data to a host or image sensor or before writing the data to the memory resource. The modification can include removing one or more bits from the data, reordering one or more bits of the data, changing a format of the data, or any combination thereof. The modified data can be transmitted to the host or image sensor or written to the memory resource. In some examples, a plurality of memory devices can combine modified data for transmitting to a host.

Abstract: Systems, apparatuses, and methods related log compression are described. In an example, a system log that identifies targeted data may be compiled in a memory resource during an execution of an operation using that memory resource. The system log may be analyzed utilizing a portion of the memory resource that would otherwise be available to be utilized in the execution of the operation. The system log may be compressed during the execution of the operation, the level or timing of such compression may be based on the analysis that occurs contemporaneous to or as a result of executing the operation. In some examples, compressing the system log may include discarding a portion of the system log. Compressing the system log may also include extracting the targeted data from the system log as the system log is being compiled and converting the extracted targeted data to structured data.

Abstract: Systems, apparatuses, and methods related to managing memory objects are discussed. An example method can include monitoring a first characteristic set for each of a plurality of memory objects written to a first memory device or a second memory device; monitoring a second characteristic set for each of the plurality of memory objects; monitoring a performance characteristic set for the first memory device and the second memory device, wherein the first memory device and the second memory device comprise different types of memory media; and writing each of the plurality of memory objects in a particular respective location of the first memory device or the second memory device based, at least in part, upon the first characteristic set, the second characteristic set, and the performance characteristic set.

Abstract: Generally, a computing system includes processing circuitry, such as one or more processors or other suitable components, and memory devices, such as chips or integrated circuits. The memory devices may be associated with thermal limits. Saving data in such a way that causes a thermal limit of the memory device to be exceeded may cause loss of stored data and/or device over-heating. As discussed herein, a memory controller associated with the processing circuitry may determine whether a thermal limit is expected to be exceeded for a current memory writing operation. When the thermal limit is expected to be exceeded, the memory controller may respond by modifying the memory operation in such a manner that the thermal limit is not exceeded, thereby improving operation of at least the memory device and/or memory controller.

Abstract: Methods, systems, and devices for redundant array management techniques are described. A memory system may include a volatile memory device, a non-volatile memory device, and one or more redundant arrays of independent nodes. The memory system may include a first redundant array controller and a second redundant array controller of a redundant array of independent nodes. The memory system may receive a write command associated with writing data to a type of memory cell. Based on the type of memory cell, the memory system may generate parity data corresponding to the data using one or both of the first redundant array controller and the second redundant array controller. In some examples, the first redundant array controller may be configured to generate parity data associated with a first type of failure and the second redundant array controller may be configured to generate parity data associated with a second type of failure.

Abstract: Methods, systems, and apparatuses related to management of a computing device usage profile are described. The usage profile can be a usage profile of a computing device. Characteristics of workloads executed by a computing device can be monitored to determine whether performance of the computing device can be optimized by execution of an updated usage profile. Responsive to a determination that the performance of the computing device can be improved by execution of an updated usage profile, the updated usage profile can be received by the computing device and executed thereon.

Abstract: Methods, systems, and apparatuses related to runtime selection of memory devices and storage devices in a disaggregated memory system are described. For example, a controller can be coupled to a plurality of memory device and a plurality of storage devices. The controller can receive signaling indicative of a memory request corresponding to execution of an application. Responsive to receiving the signaling indicative of the memory request, the controller can select a memory device or a storage device, or both, selecting from the plurality of memory devices or the plurality of storage devices, or both, to perform a memory operation associated with the memory request. Responsive to receiving the memory request and selecting the memory device or the storage device, or both, the controller can perform the memory operation using the selected memory device or the selected storage device, or both.