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.

Abstract: A data storage device and method for file-based interrupt coalescing are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to execute a plurality of read commands read from a submission queue in a host; write a plurality of completion messages to a completion queue in the host; and coalesce interrupts to inform the host that plurality of completion messages were written to the completion queue; wherein the submission queue and the completion queue are dedicated to read commands from a host application and are separate from a submission queue and a completion queue for read and write commands from an operating system of the host. Other embodiments are possible, and each of the embodiments can be used alone or together in combination.

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, a random access memory (RAM) device, and a controller coupled to the memory device and the RAM device. The controller is configured to determine a workload type of the data storage device, determine to store at least a portion of a compressed logical to physical translation table (ZCAT) in the RAM device based on the workload type, and utilize a remaining portion of the RAM device to perform background operations. The controller is further configured to determine a persistence or temperature of the ZCAT, where the portion of the ZCAT stored to the RAM device is based on the persistence and/or the temperature of the ZCAT. The remaining portion of the ZCAT is stored in the HMB, where the remaining portion may update any out-of-date ZCAT entries.

Abstract: The present disclosure generally relates to determining host device read patterns and then matching autonomous defragmentation to the read pattern to reduce latency impact and avoid unnecessary write amplification (WA). Host devices tend to read data in similar sized chunks. Additionally, host devices tend to read certain data sequentially. Based upon the typical chunk size and data read, the data can be defragmented in sizes to match the typical host device read chunks, and the data defragmented can then be read sequentially within a same plane even if the defragmented data is on different dies. The data is defragmented without relying upon a host command to be presented. Background operation time is used to move updated data such that a future sequential read is supported.

Abstract: The present disclosure generally relates to detecting command identification (CID) collisions in host commands. Host commands stored in submission queues are supposed to have unique CIDs. The host device selects the CID and attaches the CID to the command. Once the command is executed, the host device may reuse the CID. Sometimes, the host device reuses a CID before a command already using the CID is executed, which is a collision. Rather than search all CIDs to find a collision, redundancy bits can be created for each command, and the redundancy can be the same for multiple pending commands. The redundancy bits can be checked first to see if there is a match, followed by comparing CIDs for only those commands that have matching redundancy bits. In so doing, CID collisions are detected earlier and easier.

Abstract: A method and apparatus for automatic schema detection and migration is disclosed. In embodiments, a file including NoSQL data is received and one or more data types are detected in a hierarchical data table description. Within a record of the NoSQL data, which may be stored in a JSON format, a field name and its data type, are stored in a schema describing the data table. As additional records are parsed, the schema is updated to include additional field names and data types, and may include designations such as repeated and optional, for some fields. In embodiments, the schema is a serialized data format, such as Google Protocol Buffers (Protobuf).

Abstract: The present application provides a compound comprising at least one isotopically labeled nitrogen atom for use in diagnosing a condition or disease in a subject, compositions and kits comprising the compound and methods of using the same.

Abstract: The present disclosure generally relates to split, non-operational power states for a data storage device. The data storage device can transition between the split, non-operational power states without advertising the transition to the host device. The power state parameters that are advertised to the host device are adjusted such that the host device is guided to the correct power decision based on the advertised power and duration. By splitting the non-operational power states, the data storage device does not incur additional transitional energy costs for short idle durations.

Abstract: A data storage device includes a memory device, an always on (AON) application specific integrated circuit (ASIC), and a controller coupled to the memory device and the AON ASIC. When the data storage device enters a low power state, the controller generates and stores security data associated with context data in a power management integrated circuit (PMIC). The context data is stored in both the memory device and a host memory buffer (HMB). A location of the context data in the HMB is stored in the PMIC with the security data. When the data storage device exits the low power state, the address stored in the PMIC is utilized to retrieve the context data from the HMB. The retrieved context data is verified against the security data by the controller.

Abstract: An organizational graph and a microservice graph can be generated. For two neighboring microservices, a combined organizational distance can be determined based on a distance for respective workers of each microservice in the organizational graph. The combined organizational distance can be used to determine a priority for a connection between the two microservices, and chaos testing can be performed on that connection based on its priority.

Abstract: A storage system and method for providing a dual-priority credit system are disclosed. In one embodiment, a storage system is provided comprising a memory and a controller. The controller is configured to receive, from a host, a plurality of credits for sending messages to the host; allocate a first portion of the plurality of credits for non-urgent messages; and allocate a second portion of the plurality of credits for urgent messages. Other embodiments are provided.

Abstract: One example method includes collecting telemetry data for each of a group of virtual machines (VM), and each of the VMs is associated with a user, collecting usage data for each of the VMs, creating a user profile definition for each user, and the user profile definition is created based on the telemetry data and usage data of the VMs associated with that user, creating, for each user, a user profile that is based on the user profile definition for that user, clustering the users based on similarity of their respective user profiles, and generating a recommended VM hardware configuration for a VM of one of the users.

Abstract: The present disclosure generally relates to reducing boot latency of memory devices in a dual boot system. The boot code is loaded to the data storage device controller in a flexible manner by being able to receive chunks of the boot code from two separate locations, the host memory buffer (HMB) and the memory device, which may be a NAND device. Part of the boot code may be received from the HMB and another part of the boot code may be received from the memory device. If either the HMB or the memory device can deliver the chunks faster than the other, then the controller can receive the chunks from the faster location and periodically confirm the speed of delivery to ensure the boot code latency is optimized.

Abstract: The present disclosure generally relates to utilizing a port scheduler within a data storage device controller to schedule data transfers and determine which port should be utilized for each data packet transferred. The data storage device comprises a multi-port system on a host interface. The port scheduler can consider the following factors for example: link workload, idle time for each port, link power state, throughput for each port, speed of each link, priority of data transfer, and quality of service (QoS). Based upon an analysis of one or more of the factors, the port scheduler can transfer data on a port that is not associated with the data to ensure efficient multi-port usage.

Abstract: A data storage device includes a memory and a controller coupled to the memory device. The controller is configured to be coupled to a host device. The controller is further configured to receive a plurality of commands, generate logical block address (LBA) to physical block address (PBA) (L2P) mappings for each of the plurality of commands, and store data of the plurality of commands to a respective PBA according to the generated L2P mappings. Each of the L2P mappings are generated based on a result of a deep learning (DL) training model using a neural network (NN) structure. The controller includes a NN command interpretation unit and a L2P mapping generator coupled to the NN command interpretation unit. The controller is configured to fetch training data and NN parameters from the memory device.

Abstract: The present disclosure generally relates to utilizing improved DL training models stored in non-volatile memory to optimize data transfer and storage. The proposed system would identify workloads of DNN training and occasionally check the difference rate between successive data transfers (representing successive training iterations of the model). Comparing the difference rate to given thresholds could indicate “recommendation-system” typical use case. In such a case the NAND operating system would apply systematic compression of the data by saving only the changed parameters between successive iteration cycles (“batches”). The host may indicate the checkpoint storage configuration of the training model (every iteration, every several iterations etc. . . . ) and other elements. The system may be efficiently utilized combining the NAND based DNN training interface, adding the checkpoint configuration information to the dedicated interface.

Abstract: A method of producing high conductivity carbon material from coal includes subjecting the coal to a dissolution process to produce a solubilized coal material, and subjecting the solubilized coal material to a pyrolysis process to produce the high conductivity carbon material.

Abstract: A method and system for maintaining coherency between DMA and NVMe data paths are disclosed. As DMA requests are received in the PMR region, a device controller will translate these into NVMe commands with a dedicated queue that is hidden from a host that has higher priority than the corresponding host (NVMe) commands. The payload returned from an internally executed NVMe command is stored in a buffer used to complete the DMA request. As memory reads are submitted, the controller will mark corresponding LBA ranges for overlap, ensuring coherency between these reads and writes from other queues. Since the internal PMR queue has a higher priority than host-facing queues (e.g., NVMe), and the PMR is read-only, read coherency against host writes to the same region may be achieved.

Abstract: The present disclosure generally relates to utilizing a port scheduler within a data storage device controller to schedule data transfers and determine which port should be utilized for each data packet transferred. The data storage device comprises a multi-port system on a host interface. The port scheduler can consider the following factors for example: link workload, idle time for each port, link power state, throughput for each port, speed of each link, priority of data transfer, and quality of service (QoS). Based upon an analysis of one or more of the factors, the port scheduler can transfer data on a port that is not associated with the data to ensure efficient multi-port usage.