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: Embodiments of the present disclosure generally relate to storage devices, such as SSDs. A data storage device comprises an encrypted interface, one or more flash memory devices, and a controller configured to receive one or more workloads of data through the encrypted interface. Upon a threshold being met, the controller performs a diagnosis of one or more operating parameters of the one or more workloads of data. Based on the diagnosis, the data storage device is optimized by recalibrating one or more of: a partitioning of bits per cell of the one or more flash memory devices, one or more flash management parameters of the data storage device, and a programming rate of the storage device.

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 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: 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 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 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 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.

Abstract: A method and apparatus for enhancing reliability of a data storage device. The storage device controller is configured to convert a typical UBER-type event to an MTBF (FFR) event by converting a data error event into a drive functional failure. In this context, the converted error is not counted as an UBER type event for purposes of determining the reliability of the storage device.

Abstract: The present disclosure generally relates to power management for an external storage device. The external storage device includes a power allocation unit coupled to an array of memory devices. A single bridge is present to provide a connection to a host device. The memory devices have operational power states that utilize a first amount of power and non-operational power states that utilize a second amount of power that is less than the first amount of power. The power allocation unit changes the power state of the individual memory devices between operational and non-operational based upon need, but also ensures that the external storage device does not exceed the total power allocation. Thus, the power allocation unit may change a power state of one memory device from operational to non-operational in order to change the power state of another memory device from non-operational to operational.

Abstract: The present disclosure generally relates to a method and device for reduce the amount of energy used to revert data within a storage device to a consistent state after a power loss event. Once power is lost from a host device, and prior to complete shutdown, a log is created within non-volatile memory (NVM) of the storage device. The log contains logical block addresses (LBAs) corresponding to data that experienced a write failure. At the next power-on event, the log is checked to see if any LBAs are present. If LBAs are present in the log, then the data that experienced a write failure can be properly written to the storage device.

Abstract: Embodiments of the present disclosure generally relate to storage devices, such as SSDs. A data storage device comprises an encrypted interface, one or more flash memory devices, and a controller configured to receive one or more workloads of data through the encrypted interface. Upon a threshold being met, the controller performs a diagnosis of one or more operating parameters of the one or more workloads of data. Based on the diagnosis, the data storage device is optimized by recalibrating one or more of: a partitioning of bits per cell of the one or more flash memory devices, one or more flash management parameters of the data storage device, and a programming rate of the storage device.

Abstract: A method and apparatus for enhancing reliability of a data storage device. The storage device controller is configured to convert a typical UBER-type event to an MTBF (FFR) event by converting a data error event into a drive functional failure. In this context, the converted error is not counted as an UBER type event for purposes of determining the reliability of the storage device.

Abstract: Embodiments of the present disclosure generally relate to storage devices, such as SSDs. A data storage device comprises an encrypted interface, one or more flash memory devices, and a controller configured to receive one or more workloads of data through the encrypted interface. Upon a threshold being met, the controller performs a diagnosis of one or more operating parameters of the one or more workloads of data. Based on the diagnosis, the data storage device is optimized by recalibrating one or more of: a partitioning of bits per cell of the one or more flash memory devices, one or more flash management parameters of the data storage device, and a programming rate of the storage device.

Abstract: The present disclosure generally relates to power management for an external storage device. The external storage device includes a power allocation unit coupled to an array of memory devices. A single bridge is present to provide a connection to a host device. The memory devices have operational power states that utilize a first amount of power and non-operational power states that utilize a second amount of power that is less than the first amount of power. The power allocation unit changes the power state of the individual memory devices between operational and non-operational based upon need, but also ensures that the external storage device does not exceed the total power allocation. Thus, the power allocation unit may change a power state of one memory device from operational to non-operational in order to change the power state of another memory device from non-operational to operational.

Abstract: A solid state device is disclosed comprising an array of memory units, an interface connected to the memory units, at least one arrangement to monitor a temperature of the solid state device and an arrangement to monitor low power mode statistics of the solid state device and compare the low power mode statistics to a critical usage point power threshold at a temperature measured, wherein the arrangement to monitor the low power mode statistics of the solid state device is further configured to change a power mode of the solid state device based upon the low power mode statistics.

Abstract: Aspects of the present disclosure provide various apparatus, devices, systems and methods for dynamically configuring a cache partition in a solid state drive (SSD). The SSD may include non-volatile memory (NVM) that can be configured to store a different number of bits per cell. The NVM is partitioned into a cache partition and a storage partition, and the respective sizes of the partitions is dynamically changed based on a locality of data (LOD) of the access pattern of the NVM.

Abstract: The present disclosure generally relates to a method and device for reduce the amount of energy used to revert data within a storage device to a consistent state after a power loss event. Once power is lost from a host device, and prior to complete shutdown, a log is created within non-volatile memory (NVM) of the storage device. The log contains logical block addresses (LBAs) corresponding to data that experienced a write failure. At the next power-on event, the log is checked to see if any LBAs are present. If LBAs are present in the log, then the data that experienced a write failure can be properly written to the storage device.

Abstract: The present disclosure generally relates to a Modular PCIe Unit (MPU), which is a single-lane PCI Express endpoint that can act as either a Stand-Alone Single-Lane or as a (one) Lane in a Multilane Endpoint Unit, composed by cascaded-MPUs. The MPU will include a PCIe link, a PCIe transition, a SoC specific and a PCIe phy that are all unique to the individual MPU. The MPUs are scalable in that a single MPU may be used or, if more MPUs are desired for higher performance, additional MPUs, each of which can be unique, added to create the Multilane Endpoint Unit.

Abstract: The present disclosure describes technologies and techniques for use with a data storage controller (such as a non-volatile memory (NVM) controller) to implement self-trimming of media data. In illustrative examples, an NVM controller stores a stream of video data in a NAND storage device, such as video obtained by a security camera. The controller also stores time stamps corresponding to portions of the video data. The controller then periodically (or during idle times) scans the stored information to identify video data that has exceeded a maximum data lifetime, such as data older than one week. Such data is deemed to be old/expired and is trimmed by the controller (by, e.g., marking corresponding entries in an allocation table as deleted or invalid). In this manner, the controller performs self-trimming of older video data to, for example, limit write amplification. NVMe examples are provided.