Microsoft Technology Licensing, LLC

Monish Shantilal Shah

John Grant Bennett

Scott Chao-Chueh Lee

Brett Kenneth Dodds

Lisa Ru-feng Hsu

Daniel Sebastian Berger

Lei Kou

Yimin Deng

Abhilash Ravi Kashyap

Liang Yang

Martijn De Kort

Vamsi Sata

Chenfeng Zhang

Brenda Wai Yan Bell

The methods and systems improve uncorrectable error (UE) and silent data corruption (SDC) rates for memory chips and improve error correction of the memory chips. The systems may include a memory bank with a plurality of memory chips in communication with a memory controller. The memory bank may use one additional memory chip that stores a bitwise parity of the data stored in the remaining memory chips of the memory bank. The parity bits are used to rebuild corrupted data when a UE occurs. The parity bits are also used to detect whether a SDC occurred in the data.

Error rates for memory with built in error correction and detection

The present disclosure relates to utilizing a storage system that improves memory storage and access by utilizing a distributed erasure coding RAID. For example, the storage system stores a mapping table within volatile memory of one or more SSDs on a set of RAID SSDs. In particular, a mapping table stored in one SSD in the SSD set includes mapping information corresponding to data stored in another SSD in the SSD set. In this manner, the storage system can significantly reduce the number of operations needed to write new data to the set of SSDs from previous methods that required multiple reads and multiple writes.

Distributed raid for parity-based flash storage devices

The disclosed technologies provide functionality for collecting quality of service ('QoS') statistics for in-use child physical functions of multiple physical function (“PF”) non-volatile memory devices (“MFNDs”). A host computing device creates a child PF on a MFND and configures the child PF on the MFND to provide a specified QoS level to an associated VM executing on the host computing device. The MFND then collects child PF QoS statistics for the child PF that describe the utilization of resources provided by child PF to an assigned VM. The MFND provides the child PF QoS statistics from the MFND to the host computing device. The collected child PF QoS statistics can be utilized to inform decisions regarding reallocation of MFND-provided resources, provisioning of new MFND-provided resources, and for other purposes.

Collecting quality of service statistics for in-use child physical functions of multiple physical function non-volatile memory devices

The disclosed technologies provide functionality for non-volatile memory device-assisted live migration of virtual machine ('VM') data. A host computing device (the “host”) requests that a source non-volatile memory device track changes to a namespace by a VM. In response thereto, the source device tracks changes made by the VM to the namespace and stores one or more data structures that identify the changed portions of the namespace. The host requests the data structures from the source device and requests the contents of the changed portions from the source device. The host then causes the data changed by the VM in the namespace to be written to a namespace on a target non-volatile memory device. The host can also retrieve the device internal state of a child physical function on the source device. The host migrates the retrieved device internal state to a child physical function on the target device.

Non-volatile memory device-assisted live migration of virtual machine data

Systems and methods related to a memory system with a predictable read latency from media with a long write latency are described. An example memory system includes an array of tiles configured to store data corresponding to a cache line associated with a host. The memory system further includes control logic configured to, in response to a write command from a host, initiate writing of a first cache line to a first tile in a first row of the tiles, a second cache line to a second tile in a second row of the tiles, a third cache line to a third tile in a third row of the tiles, and a fourth cache line in a fourth row of the tiles. The control logic is configured to, in response to a read command from the host, initiate reading of data stored in an entire row of tiles.

Memory system with a predictable read latency from media with a long write latency

A memory controller maintains a mapping of target ranges in system memory space interleaved two-ways across locations in a three-rank environment. For each range of the target ranges, the mapping comprises a two-way interleaving of the range across two ranks of the three-rank environment and offsets from base locations in the two ranks. At least one of the ranges has offsets that differ relative to each other. Such offsets allow the three ranks to be fully interleaved, two ways. An instruction to read data at a rank-agnostic location in the diverse-offset range causes the memory controller to map the rank-agnostic location to two interleaved locations offset different amounts from their respective base locations in their ranks. The controller may then affect the transfer of the data at the two interleaved locations.

Two-way interleaving in a three-rank environment

Methods and systems related to memory reduction in a system by oversubscribing physical memory shared among compute entities are provided. A portion of the memory includes a combination of a portion of a first physical memory of a first type and a logical pooled memory associated with the system. A logical pooled memory controller is configured to: (1) track both a status of whether a page of the logical pooled memory allocated to any of the plurality of compute entities is a known-pattern page and a relationship between logical memory addresses and physical memory addresses associated with any allocated logical pooled memory, and (2) allow the write operation to write data to any available space in the second physical memory of the first type only up to an extent of physical memory that corresponds to the portion of the logical pooled memory previously allocated to the compute entity.

Memory reduction in a system by oversubscribing physical memory shared by compute entities supported by the system

Data redundancy arrangements for memory and storage devices are discussed herein. In one example, a method of operating a data storage system includes identifying a data page for storage in a non-volatile memory die, and generating one or more data redundancy bits for the data page. The method also includes writing the data page to the non-volatile memory die by at least spanning bits of the data page and the one or more data redundancy bits across a quantity of data storage cells that share a structural property in the non-volatile memory die.

Die level data redundancy in solid state storage devices

In non-limiting examples of the present disclosure, systems, methods and devices for partitioning dies based on spare blocks and workload expectations are provided. Data from non-volatile storage media may be received. The data may comprise information identifying each of a plurality of dies included in the non-volatile storage media and a number of blocks included in each of the plurality of dies. A number of spare blocks included in each of the plurality of dies may be determined. First and second sets of the plurality of dies may be identified, wherein the first set has a higher number of spare blocks than the second set. A first workload may be assigned to the first set of dies, the first workload being classified as write-intensive. A second workload may be assigned to the second set of dies, the second workload being classified as read-intensive.

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Sammamish, WA, United States of America

Monish Shantilal Shah