Western Digital Technologies, Inc.

Niraj Srimal

Ramanathan Muthiah

Adarsh Sreedhar

Rakshit Tikoo

Vimal Kumar Jain

Lovleen Arora

Laxmi Bhoopali

Aditya Gadgil

Kshitij Gupta

A data storage device includes a non-volatile memory device including one or more memory dies and a controller. The controller is configured to receive a pseudocode file and a search key from one or more external devices and perform an index search based on the received pseudocode and search key. The controller may further determine a data file associated with the performed index search and output the determined data file to the one or more external device.

Systems and methods for key-based indexing in storage devices

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.

Resource usage arbitration in non-volatile memory (NVM) data storage devices with artificial intelligence accelerators

Storage devices store not only host data, but also control data related to operations of the storage device associated with the data. Control data is stored within blocks of memory called control blocks. As storage devices are configured to communicate with numerous hosts and namespaces, proper management of the available control blocks can avoid numerous problems such as mixed control block usage that punish certain hosts based on actions of other, non-related hosts. Methods and devices that efficiently manage control blocks include a control block management logic configured to process a request to generate a new namespace and parse the namespace request to determine the number of control blocks required. These separate control blocks for the requested namespace can be partitioned. Finally, control block activity for the requested namespace is directed only to the partitioned control blocks. Thus, the various control block activity between hosts is separate and not mixed.

Control block management in storage devices

A data storage device and method for preventing accidental updates and deletions using data versioning are provided. In one embodiment, a data storage device is provided comprising a memory and a controller. The controller is configured to: receive a command from a host to modify data stored in the memory, wherein the data is associated with a host identifier created by the data storage device; determine whether the host is associated with the host identifier; in response to determining that the host is associated with the host identifier, modify the data; and in response to determining that the host is not associated with the host identifier, create a new version of the data without modifying the data. Other embodiments are provided.

Data storage device and method for preventing accidental updates and deletions using data versioning

Systems and methods are disclosed for providing parallel data transfer. In certain embodiments, a data storage device includes a non-volatile memory and a controller configured to: receive a command from a host to obtain a file stored in the non-volatile memory; determine a plurality of channels available between the host and the data storage device; dynamically divide the file into a plurality of chunks based at least in part on the plurality of channels; perform load balancing to determine a first chunk of the plurality of chunks to be sent over a first channel of the plurality of channels and at least a second chunk of the plurality of chunks to be sent over a second channel of the plurality of channels; and simultaneously transmit the first chunk over the first channel and the second chunk over the second channel.

Systems and methods for power and performance improvement through dynamic parallel data transfer between device and host

Aspects of a storage device including a memory and a controller are provided which reduces or eliminates garbage collection in zoned namespace (ZNS) architectures by mapping zones to sub-blocks of blocks of the memory. Each zone includes a plurality of logical addresses. The controller determines a number of open zones, and maps the open zones to the sub-blocks in response to the number of open zones meeting a threshold. Thus, larger numbers of open blocks typically present in ZNS may be reduced, and increased block sizes due to scaling may be accommodated in ZNS. In some aspects, the controller receives a request from a host device to write data associated with the zones in sub-blocks, and maps each of the zones to at least one of the sub-blocks in response to the request. The request may indicate zones are partially unused. Thus, out of zone conditions may also be avoided.

Zoned namespace limitation mitigation using sub block mode

A storage system and method for user-defined data archiving are provided. In one embodiment, the method comprises: receiving a write command from a host; determining whether the storage system received an indicator from the host indicating that data of the write command is archive data; in response to determining that the storage system received the indicator, storing the data in the multi-level memory cells; and in response to determining that the storage system did not receive the indicator, storing the data in the single-level memory cells. Other embodiments are provided.

Storage system and method for user-defined data archiving

A method for managing physical-to-logical address information in a memory system includes determining whether a memory fragment of a memory block is a last memory fragment of the memory block. The method also includes, in response to a determination that the memory fragment is not the last memory fragment of the memory block: performing a write operation on the memory fragment; storing, in cache associated with the memory system, physical-to-logical address information associated with the memory fragment; and, in response to a determination that the cache is full, writing, to a next memory fragment of the memory block, control metadata associated with physical-to-logical address information stored in the cache.

Growing community of inventors

Marathalli, India

Niraj Srimal