Abstract: An adaptive-feedback-based read-look-ahead management system and method are provided. In one embodiment, a method for stream management is presented that is performed in a storage system. The method comprises performing a read look ahead operation for each of a plurality of streams; determining a success rate of the read look ahead operation of each of the plurality of streams; and allocating more of the memory for a stream that has a success rate above a threshold than for a stream that has a success rate below the threshold. Other embodiments are provided.

Abstract: An apparatus includes memory arrays and a power-performance-endurance manager module. The power-performance-endurance manager module stores a power-endurance state descriptor data structure, which includes endurance levels associated with power-endurance modes. The manager module dynamically configures the apparatus to operate the memory arrays according to one of the power-endurance modes based on a desired endurance level.

Abstract: A storage system has a volatile memory, a non-volatile memory, and a controller. The controller of the storage system can implement various mechanisms for improving random read performance. These mechanisms include improved read prediction cache management, using a pattern length for read prediction, and a time-based enhancement for read prediction. Each of these mechanisms can be used alone on in combination with some or all of the other mechanisms.

Abstract: An apparatus and method of providing direct access to a non-volatile memory of a non-volatile memory device and detecting potential security violations are provided. A method for providing access to a non-volatile memory of a non-volatile memory device may include tracking a parameter related to a plurality of direct access transactions of the non-volatile memory. A threshold behavior pattern of the host activity may be determined based upon the tracked parameters. The direct access transactions may be reviewed to determine whether the threshold behavior pattern is exceeded.

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: Methods and apparatus for managing and optimizing data storage devices that include non-volatile memory (NVM) are described. One such method involves deriving a hint for one or more logical block addresses (LBAs) of a storage device based on information received from a host device and/or physical characteristics of the storage device, such as LBAs that are invalidated together; grouping the LBAs into one or more clusters of LBAs based on the derived hint and a statistical analysis of the physical characteristics of the storage devices; allocating available physical block addresses (PBAs) in the storage device to one of the LBAs based on the one or more clusters of LBAs to achieve optimization of a data storage device.

Abstract: Systems and methods for compacting and anonymizing telemetry data in a storage system. A controller of a storage device may generate telemetry data based on collected features indicative of the performance of the storage device. The controller may store the telemetry data in the telemetry memory of the storage device. The controller may then transform the telemetry data into transformed telemetry data based on a dimension reduction algorithm, and transmit the transformed telemetry data to the host device.

Abstract: A storage system and method for implementing an encoder, decoder, and/or buffer using a field programmable gate array are provided. In one embodiment, a storage system is provided with a field programmable gate array and a memory that stores sets of instruction code for the field programmable gate array. The sets of instruction code can be for different error decoder implementations, for providing an additional encoder and/or decoder, or for implementing a host memory buffer or a controller memory buffer.

Abstract: A storage system has a volatile memory, a non-volatile memory, and a controller. The controller of the storage system can implement various mechanisms for improving random read performance. These mechanisms include improved read prediction cache management, using a pattern length for read prediction, and a time-based enhancement for read prediction. Each of these mechanisms can be used alone on in combination with some or all of the other mechanisms.

Abstract: Recurrent Neural Networks (RNNs) wherein a non-volatile memory (NVM) array provides a memory bank for the RNN. The RNN may be a Neural Turning Machine (NTM) and the memory bank may be an NTM matrix stored in the NVM array. In some examples, an NTM controller sets the size of the NTM matrix based on a storage access granularity of the NVM array. For instance, if the NVM reads and writes data in flash memory unit (FMUs), the NTM controller sets the size of the NTM matrix to correspond to the size of an integer number of FMUs. In some examples, the NVM array includes on-chip NTM circuitry configured to perform at least some NTM read head and write head operations. Threshold-based processing is described that can reduce an amount of NTM data read from the NVM array. In other examples, volatile memory is employed rather than an NVM array.

Abstract: The present disclosure generally relates to improving write cache utilization by recommending a time to initiate a data flush operation or predicting when a new write command will arrive. The recommending can be based upon considerations such as a hard time limit for data caching, rewarding for filling the cache, and penalizing for holding data for too long. The predicting can be based on tracking write command arrivals and then, based upon the tracking, predicting an estimated arrival time for the next write command. Based upon the recommendation or predicting, the write cache can be flushed or the data can remain in the write cache to thus more efficiently utilize the write cache without violating a hard stop time limit.

Abstract: An adaptive-feedback-based read-look-ahead management system and method are provided. In one embodiment, a method for stream management is presented that is performed in a storage system. The method comprises performing a read look ahead operation for each of a plurality of streams; determining a success rate of the read look ahead operation of each of the plurality of streams; and allocating more of the memory for a stream that has a success rate above a threshold than for a stream that has a success rate below the threshold. Other embodiments are provided.

Abstract: A storage system and sorting-based method for random read command prediction in a multi-queue system are provided. In one embodiment, a method for command prediction is performed in a storage system comprising a memory and being in communication with a host. The method comprises receiving a read command sequence from the host, wherein read commands in the read command sequence originate from a plurality of command queues in the host such that read commands in the read command sequence received from the host are out of order; sorting read commands in the read command sequence received from the host based on logical block addresses; and predicting a next read command from the sorted read commands. Other embodiments are provided.

Abstract: A storage system and method for adaptive scheduling of background operations are provided. In one embodiment, after a storage system completes a host operation in the memory, the storage system remains in a high power mode for a period of time, after which the storage system enters a low-power mode. The storage system estimates whether there will be enough time to perform a background operation in the memory during the period of time without the background operation being interrupted by another host operation. In response to estimating that there will be enough time to perform the background operation in the memory without the background operation being interrupted by another host operation, the storage system performs the background operation in the memory.

Abstract: A storage system and method for implementing an encoder, decoder, and/or buffer using a field programmable gate array are provided. In one embodiment, a storage system is provided with a field programmable gate array and a memory that stores sets of instruction code for the field programmable gate array. The sets of instruction code can be for different error decoder implementations, for providing an additional encoder and/or decoder, or for implementing a host memory buffer or a controller memory buffer.

Abstract: The disclosure relates in some aspects to on-chip processing circuitry formed within the die of a non-volatile (NVM) array to perform data searches. In some aspects, the die includes components configured to sense wordlines of stored data in the NVM array by applying voltages on the wordlines serially, and then search for an input data pattern within the serially-sensed wordlines. In some examples, the components of the die include latches and circuits configured to perform bitwise latch logic search operations. In other examples, the search components are configured with under-the-array or next-to-the-array dedicated search circuitry that uses registers and/or random access memory (RAM). Other aspects relate to a separate controller device for controlling the on-chip NVM search operations. For example, the controller may determine whether to search for data using search components of the NVM die or processors of the controller based, e.g., on a degree of fragmentation of data.

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: Exemplary methods and apparatus are provided for configuring a data storage controller to select training data samples from a non-volatile memory (NVM) array for forwarding to an external machine learning processor. The machine learning processor trains a deep neural network model by, e.g., performing various forward and backward passes through a neural network. Within illustrative examples, the data storage controller is equipped with a data sample selection unit that intelligently selects training data stored in the NVM array to forward to the external machine learning processor to reduce an amount of training data to be transferred to the machine learning processor. Among other features, this allows for the practical use of NVM arrays (such as NAND memory arrays) for storing large quantities of machine learning training data, rather than high-speed volatile memory (such as dynamic random access memory), which may be impractical and cost-prohibitive for low-power applications.

Abstract: An apparatus includes memory arrays and a power-performance-endurance manager module. The power-performance-endurance manager module stores a power-endurance state descriptor data structure, which includes endurance levels associated with power-endurance modes. The manager module dynamically configures the apparatus to operate the memory arrays according to one of the power-endurance modes based on a desired endurance level.

Abstract: Systems and methods for compacting and anonymizing telemetry data in a storage system. A controller of a storage device may generate telemetry data based on collected features indicative of the performance of the storage device. The controller may store the telemetry data in the telemetry memory of the storage device. The controller may then transform the telemetry data into transformed telemetry data based on a dimension reduction algorithm, and transmit the transformed telemetry data to the host device.