Seagate Technology Incorporated

Micron Technology Incorporated

Xiotech Corporation

Other

David Scott Ebsen

Ryan James Goss

Mark Ish

Dana Lynn Simonson

Kevin Arthur Gomez

Antoine Khoueir

Mark A Gaertner

Timothy Lawrence Canepa

Daniel John Benjamin

Jon David Trantham

Jeffrey L Whaley

Kishore Kumar Muchherla

Akira Goda

Michael Joseph Steiner

Tomoharu Tanaka

Ara Patapoutian

James Fitzpatrick

Huai-Yuan Tseng

Eric N Lee

Sundararajan Sankaranarayanan

Xiangyu Tang

Dung Viet Nguyen

Ying Huang

Todd R Burkey

Erich Franz Haratsch

Sampath K Ratnam

Jonathan Scott Parry

Abdelhakim Alhussien

Kevin Roy Brandt

Robert Wayne Moss

Daniel J Hubbard

Navneeth Kankani

Suresh Rajgopal

David Scott Seekins

Peng Li

Steven M Howe

Vivek Shivhare

Randal Rysavy

Brent Byron

Steven Howe

Methods, systems, and apparatuses include allocating a temporary parity buffer to a parity group. A write command is received that includes user data and is directed to a portion of memory included in a zone which is included in the parity group. A memory identifier is determined for the portion of memory. Parity group data is received from the temporary parity buffer using the memory identifier. Updated parity group data is determined using the parity group data and the user data. The updated parity group data is sent to the temporary parity buffer.

Temporary parity buffer allocation for zones in a parity group

Aspects of the present disclosure configure a memory sub-system controller to allow a host to deallocate data prior to folding operations. The controller generates an instruction to fold data stored in an individual portion of the set of memory components. The controller, prior to executing the instruction to fold the data stored in the individual portion of the set of memory components, transmits a communication to a host indicative of the instruction to fold the data stored in the individual portion. The controller conditions execution of the instruction to fold the data stored in the individual portion of the set of memory components based on transmission of the communication to the host.

Preemptively warning host of background folding

A subset of blocks from a set of blocks of a memory device are identified based on a valid data count constraint. A first block from the subset of blocks is selected based on a valid data count of the first block. A second block from the subset of blocks is selected based on a data temperature of the second block. A comparison of the first block and the second block is performed in accordance with one or more comparison criterion. The first block or the second block is selected as a garbage collection source block based on the comparison. Garbage collection is performed at the garbage collection source block.

Controlling variation of valid data counts in garbage collection source blocks

A method includes causing a read operation to be initiated with respect to a set of target cells. For each target cell, a respective group of adjacent cells is adjacent to the target cell. The method further includes obtaining, for each group of adjacent cells, respective cell state information, assigning, based on the cell state information, each target cell of the set of target cells to a respective state information bin, and determining a set of calibrated read level offsets. Each state information bin is associated with a respective group of target cells of the set of target cells, and each calibrated read level offset of the set of calibrated read level offsets is associated with a respective state information bin of the set of state information bins.

Conditional valley tracking during corrective reads

Methods, apparatuses and systems related to maintaining stored data are described. The apparatus may be configured to refresh the stored data according to schedule that includes different delays between successive refresh operations.

Apparatus with non-linear delay variations for scheduling memory refresh operations and methods for operating the same

Method and apparatus for managing data in a cloud computing environment. In accordance with some embodiments, data updates are received to a multi-tier memory structure across a cloud network and stored as working data in an upper rewritable non-volatile memory tier of the memory structure. The working data are periodically logged to a lower non-volatile memory tier in the memory structure while a current version of the working data remain in the upper memory tier. The upper and lower memory tiers each are formed of rewritable memory cells having different constructions and storage attributes.

Data update management in a cloud computing environment

A data storage device may consist of a non-volatile memory having rewritable in-place memory cells each with a read-write asymmetry. The non-volatile memory can store boot data that is subsequently loaded by a selection module of the data storage device. The selection module may bypass a memory buffer of the data storage device to load the boot data.

Data storage device with rewritable in-place memory

Systems and methods presented herein provide a controller that is operable to monitor a plurality of background commands to a storage device over a pre-determined period of time and to determine how often each of the background commands is issued during the pre-determined period of time. The controller is further operable to establish a time interval for each of the background commands, and to issue each of the background commands at their respective time intervals.

Enhancing quality of service of a storage device

Systems and methods for limiting performance variation in a storage device are described. Storage devices receive work requests to perform one or more operations from other computing devices, such as a host computing device. Completing the work requests may take a response time. In some embodiments, if the response time of executing the work request exceeds a threshold, the storage device may assign additional computing resources to complete the work request.

Technologies for limiting performance variation in a storage device

Methods, apparatuses, and computer-readable media for providing extremely rapid preconditioning of an SSD. Upon receiving a precondition command from a host operably connected to the SSD to precondition a range of LBAs of the storage media, a plurality of physical units of the storage media to be preconditioned are determined based on the range of LBAs. A workload pattern is determined from the precondition command, and upon determining that the workload pattern indicates a random pattern, a valid page count for each of the plurality of physical units is computed based on a random distribution. Forward mapping table entries of a forward mapping table associated with the storage media corresponding to the range of LBAs is then populated with random physical addresses from the plurality of physical units based at least on the computed valid page count for each of the plurality of physical units.

Rapid SSD preconditioning

Systems and methods are disclosed for enhanced garbage collection operations at a memory device. The enhanced garbage collection may include selecting data and blocks to garbage collect to improve device performance. Data may be copied and reorganized according to a data stream via which the data was received, or data and blocks may be evaluated for garbage collection based on other access efficiency metrics. Data may be selected for collection based on sequentiality of the data, host access patterns, or other factors. Processing of host commands may be throttled based on a determined amount of work to garbage collect a plurality of blocks, in order to limit variability in host command throughput over a time period.

Enhanced garbage collection

Systems and methods for active power management are described. In one embodiment, the systems and methods include obtaining power dissipation metrics for a plurality of components under one or more operating scenarios, generating a reference dissipation model based on the power dissipation metrics of the plurality of components, and implementing the reference dissipation model in a storage system to make component scheduling decisions in relation to power management of the storage system. In some embodiments, the storage system includes any combination of a hard disk drive, a solid state drive, a hybrid drive, and a system of multiple storage drives.

Active power management

A data storage device can have at least a buffer memory, a selection module, and a non-volatile memory. The buffer memory and non-volatile memory may consist of different types of memory while the non-volatile memory has one or more rewritable in-place memory cells. The buffer memory and non-volatile memory may each store data associated with a pending data request as directed by the selection module until a settle time of the rewritable in-place memory cell has expired.

Data storage device with rewriteable in-place memory

Growing community of inventors

Minnetonka, MN, United States of America

David Scott Ebsen