Abstract: Systems and methods are disclosed for limiting power consumption of a non-volatile memory (NVM) using a power limiting scheme that distributes a number of concurrent NVM operations over time. This provides a “current consumption cap” that fixes an upper limit of current consumption for the NVM, thereby eliminating peak power events. In one embodiment, power consumption of a NVM can be limited by receiving data suitable for use as a factor in adjusting a current threshold from at least one of a plurality of system sources. The current threshold can be less than a peak current capable of being consumed by the NVM and can be adjusted based on the received data. A power limiting scheme can be used that limits the number of concurrent NVM operations performed so that a cumulative current consumption of the NVM does not exceed the adjusted current threshold.

Abstract: Systems and methods are disclosed for limiting power consumption of a non-volatile memory (NVM) using a power limiting scheme that distributes a number of concurrent NVM operations over time. This provides a “current consumption cap” that fixes an upper limit of current consumption for the NVM, thereby eliminating peak power events. In one embodiment, power consumption of a NVM can be limited by receiving data suitable for use as a factor in adjusting a current threshold from at least one of a plurality of system sources. The current threshold can be less than a peak current capable of being consumed by the NVM and can be adjusted based on the received data. A power limiting scheme can be used that limits the number of concurrent NVM operations performed so that a cumulative current consumption of the NVM does not exceed the adjusted current threshold.

Abstract: Systems and methods are disclosed for limiting power consumption of a non-volatile memory (NVM) using a power limiting scheme that distributes a number of concurrent NVM operations over time. This provides a “current consumption cap” that fixes an upper limit of current consumption for the NVM, thereby eliminating peak power events. In one embodiment, power consumption of a NVM can be limited by receiving data suitable for use as a factor in adjusting a current threshold from at least one of a plurality of system sources. The current threshold can be less than a peak current capable of being consumed by the NVM and can be adjusted based on the received data. A power limiting scheme can be used that limits the number of concurrent NVM operations performed so that a cumulative current consumption of the NVM does not exceed the adjusted current threshold.

Abstract: Systems and methods are provided for selectively retiring blocks based on refresh events of those blocks. In addition to refresh events, other criteria may be applied in making a decision whether to retire a block. By applying the criteria, the system is able to selectively retire blocks that may otherwise continue to be refreshed.

Abstract: Systems and methods are provided for handling uncorrectable errors in a non-volatile memory (“NVM”), such as flash memory, during a garbage collection operation.

Abstract: Systems and methods are disclosed for performing run-time tests on a non-volatile memory (“NVM”), such as flash memory. The run-time tests may be tests that are performed on the NVM while the NVM can be operated by an end user (as opposed to during a manufacturing phase). In some embodiments, a controller for the NVM may detect an error event that may be indicative of a systemic failure of a die of the NVM. The controller may then select one or more blocks in the die to test, which may be dies that are currently not being used to store user data. The controller may post process the results of the test to determine whether there is a systemic failure, such as a column failure, and may treat the systemic failure if there is one.

Abstract: Systems and methods are disclosed for managing a non-volatile memory (“NVM”), such as a flash memory. To prevent data errors due to leakage effects, the NVM may be refreshed. For example, a reserved portion of the NVM may be selected, and a predetermined pattern can be stored into the reserved portion. The reserved portion can then be monitored for storage deterioration over time. After determining that storage deterioration of the reserved portion has occurred, the NVM can be refreshed. In some embodiments, a controller can attempt to distinguish data errors due to leakage effects from data errors due to disturb issues.

Abstract: Systems and methods are provided for handling uncorrectable errors that may occur during garbage collection of an index page or block in non-volatile memory.

Abstract: Systems and methods are disclosed for partitioning data for storage in a non-volatile memory (“NVM”), such as flash memory. In some embodiments, a priority may be assigned to data being stored, and the data may be logically partitioned based on the priority. For example, a file system may identify a logical address within a first predetermined range for higher priority data and within a second predetermined range for lower priority data, such using a union file system. Using the logical address, a NVM driver can determine the priority of data being stored and can process (e.g., encode) the data based on the priority. The NVM driver can store an identifier in the NVM along with the data, and the identifier can indicate the processing techniques used on the associated data.

Abstract: Systems and methods are disclosed for managing the peak power consumption of a system, such as a non-volatile memory system (e.g., flash memory system). The system can include multiple subsystems and a controller for controlling the subsystems. Each subsystem may have a current profile that is peaky. Thus, the controller may control the peak power of the system by, for example, limiting the number of subsystems that can perform power-intensive operations at the same time or by aiding a subsystem in determining the peak power that the subsystem may consume at any given time.

Abstract: Systems and methods are provided for storing data to or reading data from a non-volatile memory (“NVM”), such as flash memory, using a metadata redundancy scheme. In some embodiments, an electronic device, which includes an NVM, may also include a memory interface for controlling access to the NVM. The memory interface may receive requests to write user data to the NVM. The user data from each request may be associated with metadata, such as a logical address, flags, or other data. In response to a write request, the NVM interface may store the user data and its associated metadata in a first memory location (e.g., page), and may store a redundant copy of the metadata in a second memory location. This way, even if the first memory location becomes inaccessible, the memory interface can still recover the metadata from the backup copy stored in the second memory location.

Abstract: A file system programs metadata on a non-volatile memory device. The metadata can include data associating files with ranges of logical block addresses. During a garbage collection process, the data can be used to determine portions of physical blocks of the non-volatile memory device that are associated with files that have been deleted. Using the programmed metadata during garbage collection results in erasure of larger portions of blocks and improved wear leveling.

Abstract: Systems and methods are provided for performing incremental garbage collection for non-volatile memories (“NVMs”), such as flash memory. In some embodiments, an electronic device including the NVM may perform incremental garbage collection to free up and erase a programmed block of the NVM. The programmed block may include valid data and invalid data, and the electronic device may be configured to copy the valid data from the programmed block to an erased block in portions. In between programming each portion of the valid data to the erased block, the electronic device can program host data to the erased block. This way, the electronic device can stagger the garbage collection operations and prevent a user from having to experience one long garbage collection operation.

Abstract: Memory mapping techniques for non-volatile memory are disclosed where logical sectors are mapped into physical pages using data structures in volatile and non-volatile memory. In some implementations, a first lookup table in non-volatile memory maps logical sectors directly into physical pages. A second lookup table in volatile memory holds the location of the first lookup table in non-volatile memory. An index cache tree in volatile memory holds the physical addresses of the most recently written or accessed logical sectors in a compressed format.

Abstract: A controller, techniques, systems, and devices for optimizing throughput of read operations in flash memory are disclosed. Various optimizations of throughput for read operations can be performed using a controller. In some implementations, read operations for a multi-die flash memory device or system can be optimized to perform a read request with a highest priority (e.g., an earliest received read request) as soon as the read request is ready. In some implementations, the controller can enable optimized reading from multiple flash memory dies by monitoring a read/busy state for each die and switching between dies when a higher priority read operation is ready to begin.

Abstract: Techniques for restoring index pages stored in non-volatile memory are disclosed where the index pages map logical sectors into physical pages. Additional data structures in volatile and non-volatile memory can be used by the techniques for restoring index pages. In some implementations, a lookup table associated with data blocks in non-volatile memory can be used to provide information regarding the mapping of logical sectors into physical pages. In some implementations, a lookup table associated with data blocks and a range of logical sectors and/or index pages can be used.

Abstract: In a memory system, a host controller is coupled to a non-volatile memory (NVM) package (e.g., NAND device). The host controller sends a read command to the NVM package requesting a low latency read operation. Responsive to the read command, a controller in the NVM package retrieves the data and sends the data to an ECC engine for correcting. Following the read command, the host controller sends a read status request command to the controller in the NVM package. Responsive to the read status request, the controller sends a status report to the host controller indicating that some or all of the data is available for transfer to the host controller. Responsive to the report, the host controller transfers the data. An underrun status can be determined to indicate that uncorrected data had been transferred to the host controller.

Abstract: Multipage preparation commands for non-volatile memory systems are disclosed. The multipage preparation commands supply data that can be used to prepare a non-volatile memory device for forthcoming multipage program operations. A host controller can use the commands ahead of a multipage program operation to optimize usage of a multipage program command. The non-volatile memory device can use the commands to configure the non-volatile memory in preparation for a subsequent operation, such as changing a command order or using the most optimized command set for the subsequent operation.

Abstract: The disclosed architecture uses address mapping to map a block address on a host interface to an internal block address of a non-volatile memory (NVM) device. The block address is mapped to an internal chip select for selecting a Concurrently Addressable Unit (CAU) identified by the block address. The disclosed architecture supports generic NVM commands for read, write, erase and get status operations. The architecture also supports an extended command set for supporting read and write operations that leverage a multiple CAU architecture.

Abstract: In a memory system, content in a defined “risk zone” of non-volatile memory is copied into volatile memory. When a write failure occurs on non-volatile memory, the risk zone is scanned sequentially to determine corrupted content. The corrupted content is restored by writing the corresponding content previously copied to volatile memory to new blocks in non-volatile memory.