Seagate Technology Incorporated

Micron Technology Incorporated

Seagate Technologies, Inc.

Seagate Tech. LLC

Steven Scott Williams

Robert William Dixon

David W Claude

Jason Matthew Feist

Stacey Secatch

Marc Timothy Jones

Benjamin J Scott

Hemant Vitthalrao Mane

Kyumsung Lee

Mark Ish

Praveen Viraraghavan

Jonathan Williams Haines

Stanton MacDonough Keeler

Stephen H Perlmutter

Larry Joseph Koudele

Michael Sheperek

Timothy Richard Feldman

Sanjay Subbarao

Edward Sean Hoskins

Jon David Trantham

John Edward Maroney

Johnny A Lam

Daniel John Benjamin

Manuel A Offenberg

Antonio David Bianco

Kristofer Carlson Conklin

Brett Alan Cook

Daniel Robert McLeran

Michael Winterfeld

Gregory Paul Moller

Alex J Wesenberg

David Jerome Allen

Jeff Rogers

Ryan James Goss

Thomas V Spencer

Edwin Scott Olds

Wayne Howard Vinson

Abhay Tejmal Kataria

Robert Warren

Robert Dale Murphy

Matthew B Lovell

Jeffrey Munsil

Timothy Ted Walker

Lace J Herman

Phillip Raymond Colline

James Arthur Herbst

Daniel Scott Fisher

Andrew J Louder

Mike Propps

Vincent Michael McGarry

Dennis A Rubsam

Bradley Ronald Brookes

Keow Seng Ng

Methods, systems, and devices for data stream processing for media management are described. A set of transfer units of a plurality of transfer units associated with a cursor of a garbage collection procedure are selected. The selecting is based on a set of data streams corresponding to the cursor and each transfer unit of the set of transfer units is associated with a same data stream of the set of data streams. A plurality of write commands are issued in connection with the garbage collection procedure for the cursor. Each write command includes an instruction to write a transfer unit of the set of transfer units to a respective destination address of the memory sub-system.

Selecting data transfer units associated with a data stream for garbage collection

A system includes a memory device and a processing device, operatively coupled to the memory device. The processing device initializes a block family associated with the memory device and a timer associated with the block family. In response to the timer reaching a soft closure value, the processing device performs a soft closure of the block family and a hard closure of the block family in response to a first of the timer reaching a hard closure value or the block family satisfying a hard closure criteria. The processing device detects a first write amplification of a previously closed block family that employed the hard closure value and increases the hard closure value by an amount of time calculated to reduce a second write amplification, of the block family, to below a threshold write amplification.

Closing block family based on soft and hard closure criteria

Apparatus and method for executing controller memory buffer (CMB) based data transfer commands in a distributed data processing environment. In some embodiments, a storage device having a device controller and a main non-volatile memory (NVM) is coupled to a client device via an interface. The client device respectively issues normal data transfer commands and bypass data transfer commands to the storage device. The normal data transfer commands include read and write commands that result in transfer of data between the NVM and the client device using a normal data path through the storage device. The bypass data transfer commands involve an allocated CMB of the storage device directly controlled and accessed by the client device. In this way, write data are directly placed into the CMB for writing to the NVM, and readback data from the NVM are directly recovered from the CMB by the client device.

Secure command memory buffer transfers in a low trust environment

A data storage system for use in a high radiation environment runs first and second operating time counters to monitor a field-programmable, gate array (FPGA) configured as a storage controller. Based on the first operating time counter passing a first threshold, the FPGA is fully reprogrammed. Based on the second operating time counter passing a second threshold less than the first threshold, the FPGA is partially reprogrammed.

Radiation-resistant data storage device

A distributed data storage system can be configured with a host connected to a device and a distribution module. The distribution module identifies a manufacturing origin of the device and diverts a system operation from an upstream component connected to the distribution module to the device in response to the identified manufacturing origin of the device. The manufacturer installed operating parameters of the device are then used to complete the system operation.

Data storage system with distributed operations for known hardware

A distributed data storage system may connect a host to a device and a dedication module. The dedication module can identify a manufacturing origin of the device before dedicating a type of host-generated data access request to the device. The type of host-generated data access request is chosen by the dedication module in response to an operating capability correlated to the device by the dedication module based on the identified manufacturing origin. At least one host-generated request of the dedicated type is then completed with the device.

Distributed data storage system with dedicated processing lane

A data storage system may have a plurality of memory cells located in different data storage devices that are arranged into a plurality of logical namespaces with each logical namespace configured to be sequentially written and entirely erased as a single unit. An asymmetry strategy may be proactively created with the asymmetry module in response to data access activity to the logical namespaces by the asymmetry module. A new mode, as prescribed by the asymmetry strategy, is entered for at least one logical namespace in response to an operational trigger being met. The new mode changes a timing of at least one queued data access request to at least one logical namespace.

Data storage system with workload-based asymmetry compensation

Apparatus and method for executing hidden computational functions in a distributed data processing environment. In some embodiments, a trust boundary includes a target device such as a storage device, and a source device such as a client device in a computer network. A storage device processor executes a hidden command function (HCF) routine to accumulate HCF output data in a local cache responsive to an HCF command received from the client device over a data interface. The processor further establishes a smaller retention boundary within the trust boundary that includes the storage device and excludes the client device. The HCF output data are stored locally in a non-volatile memory (NVM) of the storage device while not transferring any portion of the HCF output data outside the retention boundary, including to the client device. The HCF routine can update a block-chain ledger or take some other form to provide data security.

Performing remote hidden compute functions in one or more processing devices

A memory sub-system having memory cells formed on a plurality of integrated circuit dies. After receiving a command from a host system to store data, the memory sub-system queues the command to allocate pages of memory cells in a plurality of dies in the plurality of integrated circuit dies based on a determination that each of the plurality of dies is available to perform a data programming operation for the command. Based on the page application, the memory sub-system generates a portion of a media layout to at least map logical addresses of the data identified in the command to the allocated pages and receives the data from the host system. The memory sub-system stores the data into the pages using a multi-pass programming technique, where an atomic multi-pass programming operation can be configured to use at least two pages in separate planes in one or more dies in the plurality of integrated circuit dies to program at least a portion of the data.

Multi-pass data programming in a memory sub-system having multiple dies and planes

A data storage system for use in a high radiation environment includes an array of storage drives. Each storage drive includes a non-radiation-hardened drive controller, a non-radiation-hardened, non-volatile, storage medium, and a non-radiation-hardened volatile memory. The system includes a radiation-hardened storage controller coupled to the array. The radiation-hardened storage controller provides failure-resistant data redundancy among the storage drives of the array and provides host access to the array.

A distributed data storage system can be configured with a host connected to a first device and an initialization module that performs a default initialization procedure on the first device in response to detecting the first device has an unknown manufacturing origin. Conducting the default initialization procedure may allow the first device to service data access requests from the host. In response to the connection of a second device to the host and initialization module, a manufacturing origin of the second device is identified with the initialization module before the initialization module customizes the default initialization procedure to a custom procedure that is executed to allow the second device to satisfy a background operation prescribed by the initialization module.

Custom initialization in a distributed data storage system

A data storage system may connect a host to a device and a hardware module that are utilized to satisfy at least one host-generated data access request to the device. A portion of the device is set as dormant by the hardware module prior to identifying an origin of the device with the hardware module during the satisfaction of the at least one host-generated data access request. In response to the identified origin, the previously dormant portion of the device is activated and subsequently utilized to execute a task assigned by the hardware module.

Distributed data storage system with dormant hardware activation

A system includes a memory device and a processing device, operatively coupled to the memory device. The processing device is to perform operations, including initializing a block family associated with the memory device; aggregating temperature values received from one or more temperature sensors of the memory device over time to determine an aggregate temperature; responsive to beginning to program a block residing on the memory device, associating the block with the block family; and in response to the aggregate temperature being greater than or equal to a specified threshold temperature value: performing a soft closure of the block family; initializing an extension timer; continuing to program data to the block; and performing a hard closure of the block family in response to one of the extension timer reaching an extension time value or the block family satisfying a hard closure criteria.

Apparatus and method for maintaining real-time coherency between a local cache of a target device and a client cache of a source device during execution of a distributed computational function. In some embodiments, a source device, such as a host computer, is coupled via a network interface to a target device, such as a data storage device. A storage compute function (SCF) command is transferred from the source device to the target device. A local cache of the target device accumulates output data during the execution of an associated SCF over an execution time interval. Real-time coherency is maintained between the contents of the local cache and a client cache of the source device, so that the client cache retains continuously updated copies of the contents of the local cache during execution of the SCF. The coherency can be carried out on a time-based granularity or an operational granularity.

Maintaining real-time cache coherency during distributed computational functions

A memory sub-system configured to predictively schedule the transfer of data to reduce idle time and the amount and time of data being buffered in the memory sub-system. For example, write commands received from a host system can be queued without buffering the data of the write commands at the same time. When executing a first write command using a media unit, the memory sub-system can predict a duration to a time the media unit becoming available for execution of a second write command. The communication of the data of the second command from the host system to a local buffer memory of the memory sub-system can be postponed and initiated according to the predicted duration. After the execution of the first write command, the second write command can be executed by the media unit without idling to store the data from the local buffer memory.

Predictive data transfer based on availability of media units in memory sub-systems

Growing community of inventors

Longmont, CO, United States of America

Steven Scott Williams