Methods, systems, and devices for multi-stage memory device performance notification are described. A memory system may include a first set of memory cells of a first type associated with a first performance level and a second set of memory cells of a second type associated with a second performance level. The memory system may have an interface and a control circuit coupled with the first and second sets of memory cells. The control circuit may be configured to determine a first parameter associated with a transition between the first performance level and the second performance level. The control circuit may also be configured to store the first parameter in a first register based at least in part on determining the first parameter.

A memory system includes a controller, a buffer, and a nonvolatile memory including a plurality of blocks, wherein each of the blocks includes a plurality of pages and each of the pages includes a plurality of unit data portions. The controller is configured to carry out garbage collection by reading data from one or more pages of a target block of the garbage collection and selectively copying valid unit data portions included in the read data to another block, count a number of invalid unit data portions included in the read data, and accept, in the buffer, unit data portions from a host as write data, up to a number determined based on the counted number, during the garbage collection.

A variety of applications can include memory systems that have one or more memory devices capable of performing memory operations on multiple blocks of memory in response to a command from a host. For example, improvement in erase performance can be attained by erasing multiple blocks of memory by one of a number of approaches. Such approaches can include parallel erasure followed by serial verification in response to a single command. Other approaches can include sequential erase and verify operations of the multiple blocks in response to a single command. Additional apparatus, systems, and methods are disclosed.

Migrating workloads between a plurality of execution environments, including: identifying, in dependence upon on characteristics of a workload, one or more execution environments that can support the workload; determining, for each execution environment, costs associated with supporting the workload on the execution environment; selecting, in dependence upon the costs associated with supporting the workload on each the execution environments, a target execution environment for supporting the workload; and executing the workload on the target execution environment.

A storage device is configured to manage a plurality of nonvolatile memories with a plurality of physical streams. An operation method of the storage device includes receiving an input/output request from an external host device, determining a 0-th virtual stream identifier, extracting a 0-th representative value from a 0-th virtual stream feature, extracting a first and second representative values corresponding to first and second physical streams, calculating distance information including first and second similarities between the 0-th virtual stream and each of the first and second physical streams, based on the extracted representative values, assigning one of the plurality of physical streams to the 0-th virtual stream, based on the distance information, and performing an operation corresponding to the input/output request, at the assigned physical stream, and the extracting and the calculating are performed by using machine learning model.

A plurality of entries associated with a media management operation for a plurality of transfer units are stored. A respective destination location for each of the respective transfer units are determined in connection with the garbage procedure such that a subset of the plurality of transfer units aligns with a codeword boundary on the memory page. A plurality of write commands in connection with the media management operation are issued based at least in part on the determining.

A system and method is disclosed for managing data in a non-volatile memory. The system may include a non-volatile memory having multiple non-volatile memory sub-drives. A controller of the memory system is configured to route incoming host data to a desired sub-drive, keep data within the same sub-drive as its source during a garbage collection operation, and re-map data between sub-drives, separate from any garbage collection operation, when a sub-drive overflows its designated amount logical address space. The method may include initial data sorting of host writes into sub-drives based on any number of hot/cold sorting functions. In one implementation, the initial host write data sorting may be based on a host list of recently written blocks for each sub-drive and a second write to a logical address encompassed by the list may trigger routing the host write to a hotter sub-drive than the current sub-drive.

A method of a flash memory controller used to be externally coupled to a host device and a flash memory, comprising: providing a multi-processor having a plurality of processing units; receiving a trim command and a logical block address (LBA) range sent from the host device; separating multiple operations of the trim command into N threads according to at least one of a number of the processing units, types of the multiple operations, numbers of execution cycles of the multiple operations, and portions of the LBA range; using the processing units to execute the N threads individually; and maximizing a number of execution cycles during which the processing units are busy.

An indication is received from a storage device that an attempt to read a portion of data from a block of the storage device has failed. A command is transmitted to the storage device to perform a scan on data stored at the block comprising the portion of data to acquire failure information associated with a plurality of subsets of the data stored at the block. The failure information associated with the plurality of subsets of the data stored at the block is received from the storage device.

Systems and methods for adapting garbage collection (GC) operations in a memory device to a pattern of host accessing the device are discussed. The host access pattern can be represented by how frequent the device is in idle states free of active host access. An exemplary memory device includes a memory controller to track a count of idle periods during a specified time window, and to adjust an amount of memory space to be freed by a GC operation in accordance with the count of idle periods. The memory controller can also dynamically reallocate a portion of the memory cells between a single level cell (SLC) cache and a multi-level cell (MLC) storage according to the count of idle periods during the specified time window.