Abstract: Disclosed are systems and methods for efficient power management for storage devices. A method includes receiving a request to transition a flash memory to a first stand-by mode, wherein the flash memory comprises a plurality of dies. The method also includes causing one or more guard dies of the plurality of dies to transition to the first stand-by mode while causing one or more other dies of the plurality of dies to transition to a second stand-by mode, wherein the second stand-by mode is configured to consume less power than the first stand-by mode. The method also includes receiving an input/output (I/O) request for the flash memory. The method also includes causing the I/O request to be performed on the one or more guard dies that are in the first stand-by mode but not in the second stand-by mode.

Abstract: A method and apparatus for obtaining data from a memory, estimating a probability of data values of the obtained data based on at least one of a source log-likelihood ratio and a channel log-likelihood ratio, wherein each bit in the obtained data has an associated log-likelihood ratio, determining at least one data pattern parameter for the data and performing a decoding process using the at least one data pattern parameters to determine a decoded data set.

Abstract: A device that includes a non-volatile memory and a controller. The controller is coupled to the non-volatile memory. The controller includes a non-transitory computer readable medium and a processor. The controller includes computer executable instructions stored in the computer readable medium to, using the processor, retrieve a flash memory page from the non-volatile memory, determine a memory parameter associated with the flash memory pages, determine a read threshold voltage scanning order based on the memory parameter, and perform read threshold voltage calibration according to the read threshold voltage scanning order.

Abstract: Storage devices that can perform adaptive management of intermediate storage memory, and methods for use therewith, are described herein. Such a storage device includes non-volatile memory, wherein a portion thereof is designated as intermediate storage (IS) memory and another portion thereof designated as main storage (MS) memory. The IS memory has lower write and read latencies, greater endurance, and lower storage density and capacity than the MS memory. In certain embodiments, a host activity pattern is predicted, a relocation schemes is selected based on the predicted host activity pattern, and the selected relocation scheme is executed to thereby selectively relocate one or more portions of the data from the IS memory to the MS memory in accordance with the selected relocation scheme. The relocation scheme that is selected and executed can change over time. Additionally relocation schemes can be generated based on activity log(s) and thereafter selected for execution.

Abstract: The present disclosure generally relates to relocating data in a storage device and updating a compressed logical to physical (L2P) table in response without invalidating cache entries of the L2P table. After relocating data from a first memory block associated with a first physical address to a second memory block associated with a second physical address, a version indicator of a cache entry corresponding to the first physical address in the L2P table is incremented. One or more cache entries are then added to the L2P table associating the relocated data to the second physical block without invaliding the cache entry corresponding to the first physical address. When a command to read or write the relocated data is received, the storage device searches the L2P table and reads the data from either the first memory block or the second memory block.

Abstract: Disclosed are systems and methods for efficient power management for storage devices. A method includes receiving a request to transition a flash memory to a first stand-by mode, wherein the flash memory comprises a plurality of dies. The method also includes causing one or more guard dies of the plurality of dies to transition to the first stand-by mode while causing one or more other dies of the plurality of dies to transition to a second stand-by mode, wherein the second stand-by mode is configured to consume less power than the first stand-by mode. The method also includes receiving an input/output (I/O) request for the flash memory. The method also includes causing the I/O request to be performed on the one or more guard dies that are in the first stand-by mode but not in the second stand-by mode.

Abstract: A method of transitioning between a sleep mode for a storage device to reduce power consumption and to increase responsiveness includes collecting one or more recent parameters related to host-storage device workload. The host-storage device workload is correlated to project a next host idle time. A transition between a storage sleep mode is determined.

Abstract: A non-volatile memory system may include a non-volatile memory die storing a requested data set that a host requests to be read. In response to the host request, a copy of a data set may be retrieved from the non-volatile memory die without performing error correction on an entry identifying a physical address where the data set is stored. If the data set copy matches the requested data set, the data set copy may be sent to the host. If the data set copy does not match the requested data set, then error correction may be performed on a copy of the entry to identify the correct physical address where the requested data set is stored. A copy of the requested data set may then be retrieved and sent to the host.

Abstract: A method and apparatus for obtaining data from a memory, estimating a probability of data values of the obtained data based on at least one of a source log-likelihood ratio and a channel log-likelihood ratio, wherein each bit in the obtained data has an associated log-likelihood ratio, determining at least one data pattern parameter for the data and performing a decoding process using the at least one data pattern parameters to determine a decoded data set.

Abstract: A system and method for storage system property deviation are provided. In one embodiment, a storage system is presented comprising a memory and a controller configured to: receive a request from a host to modify a write parameter used to write data to the memory; write data to the memory using the modified write parameter; restore the write parameter to its pre-modified state; and re-write the data to the memory in a background operation using the write parameter in its pre-modified state. Other embodiments are provided.

Abstract: Apparatus, media, methods, and systems for data storage systems and methods for optimized scheduling of background management operations. A data storage system may comprise a controller. The controller is configured to determine a timeout value of an adaptive timeout parameter of the data storage system. The controller is configured to determine whether a first host operation is received. The controller is configured to, when the first host operation is not received, determine whether the timeout value satisfies a threshold value. The controller is configured to, when the timeout value satisfies the threshold value, cause one or more background management operations to be executed at the data storage system.

Abstract: A system and method for storage system property deviation are provided. In one embodiment, a storage system is presented comprising a memory and a controller configured to: receive a request from a host to modify a write parameter used to write data to the memory; write data to the memory using the modified write parameter; restore the write parameter to its pre-modified state; and re-write the data to the memory in a background operation using the write parameter in its pre-modified state. Other embodiments are provided.

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: 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: Exemplary methods and apparatus are provided for implementing a deep learning accelerator (DLA) or other neural network components within the die of a non-volatile memory (NVM) apparatus using, for example, under-the-array circuit components within the die. Some aspects disclosed herein relate to configuring the under-the-array components to implement feedforward DLA operations. Other aspects relate to backpropagation operations. Still other aspects relate to using an NAND-based on-chip copy with update function to facilitate updating synaptic weights of a neural network stored on a die. Other aspects disclosed herein relate to configuring a solid state device (SSD) controller for use with the NVM. In some aspects, the SSD controller includes flash translation layer (FTL) tables configured specifically for use with neural network data stored in the NVM.

Abstract: Exemplary methods and apparatus are provided for implementing a deep learning accelerator (DLA) or other neural network components within the die of a non-volatile memory (NVM) apparatus using, for example, under-the-array circuit components within the die. Some aspects disclosed herein relate to configuring the under-the-array components to implement feedforward DLA operations. Other aspects relate to backpropagation operations. Still other aspects relate to using an NAND-based on-chip copy with update function to facilitate updating synaptic weights of a neural network stored on a die. Other aspects disclosed herein relate to configuring a solid state device (SSD) controller for use with the NVM. In some aspects, the SSD controller includes flash translation layer (FTL) tables configured specifically for use with neural network data stored in the NVM.

Abstract: A storage system and method for stream management in a multi-host virtualized storage system are provided. In one embodiment, a method for stream management is provided that is performed in a storage system in communication with a host comprising a plurality of virtual hosts. The method comprises: receiving, from the host, identification of each virtual host of the plurality of virtual hosts; analyzing usage history of each virtual host of the plurality of virtual hosts; and assigning streams to a subset of the plurality of virtual hosts based on the usage history, wherein a maximum number of streams assignable by the storage system is less than a total number of virtual hosts in the plurality of virtual hosts. 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 memory system configured to decode a data set may pause a convergence process to update reliability metric values. The memory system may utilize a positive feedback system that updates the reliability metric values by analyzing current a posteriori reliability metric values to calculate average estimated reliability characteristic values associated with a memory error model. The updates to the reliability metric values may provide increased error correction capability and faster decoding.

Abstract: A device that includes a non-volatile memory and a controller. The controller is coupled to the non-volatile memory. The controller includes a non-transitory computer readable medium and a processor. The controller includes computer executable instructions stored in the computer readable medium to, using the processor, retrieve a flash memory page from the non-volatile memory, determine a memory parameter associated with the flash memory pages, determine a read threshold voltage scanning order based on the memory parameter, and perform read threshold voltage calibration according to the read threshold voltage scanning order.