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: 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: 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 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: 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: 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: 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: 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 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.

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 and method for providing an adaptive data path are disclosed. In one embodiment, a data storage device is in communication with a host comprising a first processor (e.g., a graphics processing unit (GPU)), a second processor (e.g., a central processing unit (CPU)), and a queue. The data storage device chooses a data path to use to communicate with the queue based on whether the queue is associated with the first processor or with the second processor. 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 issue an unaligned transaction, determine that there is a transfer failure indication for the unaligned transaction, and retry the unaligned transaction with either a different alignment or a different transfer size. The different alignment or the different transfer size is used for another unaligned transaction from a same address range upon successful retry of the unaligned transaction.

Abstract: Aspects of a storage device are provided that provide power control and power loss handling in a RAID system. The storage device may include a memory, a controller coupled to the memory, a power management circuit coupled to the memory and the controller, and a rechargeable battery coupled to the power management circuit. The controller may receive power supplied by a RAID controller, receive a notification of a loss in power supplied to another storage device, and cause the power management circuit to detect a charge of the rechargeable battery in response to the notification. The power management circuit may also detect another loss in power supplied by the RAID controller, cause the controller to send a message to the RAID controller indicating the loss in power, and receive power from the RAID controller in response to the message. As a result, UGSDs in RAID may be detected and addressed.

Abstract: The present disclosure generally relates to improving data transfer in a data storage device. In double data rate (DDR) systems that include a data bus inversion (DBI) functionality, bit flip events can be more prevalent. To mitigate the effect of enhanced erroneous bit flip rate related to DBI bit flip events, the DBI bit can stay static for a predetermined number of consecutive clock cycles, the error correction module can be informed of reduced reliability due to active DBI bit events, the DBI bit can be set to 0, or combinations thereof. Setting the DBI bit to 0 effectively cancels DBI functionality. Informing the error correction module permits a more robust error correction to occur. Forcing the DBI bit to remain static reduces the probability of an unrecognized bit flip event of a full byte. In so doing, data transfer reliability is improved when using DBI functionality.

Abstract: A storage system includes one or more data storage devices, a PCIe switch coupled to the one or more data storage devices, and a controller unit coupled to the PCIe switch. The controller unit includes a dynamic random access memory (DRAM) host memory buffer (HMB) controller and a DRAM pool or a controller memory buffer (CMB) controller, a root complex/port, and the DRAM pool. The DRAM pool includes one or more DRAM devices. The one or more data storage devices are configured to interact with the controller unit and store data to a DRAM of the DRAM pool of the controller unit.

Abstract: A method and apparatus for video processing on a data storage device. A chip bound architecture includes a CMOS coupled to one or more NAND die, the CMOS including one or more processors, memories, and error correction code (ECC) engines capable of processing video data. According to certain embodiments, macroblocks are correlated between two I-frames, including motion vectors to define different locations of correlated macroblocks. A P-frame may be determined from a previous I-frame and its correlated macroblocks and motion vectors, while a B-frame may be determined from two or more adjacent I-frames with concomitant macroblocks and motion vectors, as well as P-frames associated with an adjacent I-frame.

Abstract: A storage system includes one or more data storage devices, a PCIe switch coupled to the one or more data storage devices, and a controller unit coupled to the PCIe switch. The one or more data storage devices are DRAM-less. The controller unit includes a dynamic random access memory (DRAM) host memory buffer (HMB) controller and a DRAM pool or a controller memory buffer (CMB) controller, a root complex/port, and the DRAM pool. The DRAM pool includes one or more DRAM devices. The one or more data storage devices are configured to interact with the controller unit and store data to a DRAM of the DRAM pool of the controller unit.