Versioning data stored on memory device

    公开(公告)号:US11693593B2

    公开(公告)日:2023-07-04

    申请号:US17082947

    申请日:2020-10-28

    Abstract: Various embodiments enable versioning of data stored on a memory device, where the versioning allows the memory device to maintain different versions of data within a set of physical memory locations (e.g., a row) of the memory device. In particular, some embodiments provide for a memory device or a memory sub-system that uses versioning of stored data to facilitate a rollback operation/behavior, a checkpoint operation/behavior, or both. Additionally, some embodiments provide for a transactional memory device or a transactional memory sub-system that uses versioning of stored data to enable rollback of a memory transaction, commitment of a memory transaction, or handling of a read or write command associated with respect to a memory transaction.

    Distributed computing based on memory as a service

    公开(公告)号:US11481334B2

    公开(公告)日:2022-10-25

    申请号:US17319002

    申请日:2021-05-12

    Abstract: Systems, methods and apparatuses of distributed computing based on Memory as a Service are described. For example, a set of networked computing devices can each be configured to execute an application that accesses memory using a virtual memory address region. Each respective device can map the virtual memory address region to the local memory for a first period of time during which the application is being executed in the respective device, map the virtual memory address region to a local memory of a remote device in the group for a second period of time after starting the application in the respective device and before terminating the application in the respective device, and request the remote device to process data in the virtual memory address region during at least the second period of time.

    MACHINE LEARNING WITH FEATURE OBFUSCATION

    公开(公告)号:US20210056405A1

    公开(公告)日:2021-02-25

    申请号:US16545837

    申请日:2019-08-20

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, inputs for the ANN can be obfuscated for centralized training of a master version of the ANN at a first computing device. A second computing device in the system includes memory that stores a local version of the ANN and user data for inputting into the local version. The second computing device includes a processor that extracts features from the user data and obfuscates the extracted features to generate obfuscated user data. The second device includes a transceiver that transmits the obfuscated user data. The first computing device includes a memory that stores the master version of the ANN, a transceiver that receives obfuscated user data transmitted from the second computing device, and a processor that trains the master version based on the received obfuscated user data using machine learning.

    DISTRIBUTED MACHINE LEARNING WITH PRIVACY PROTECTION

    公开(公告)号:US20210056387A1

    公开(公告)日:2021-02-25

    申请号:US16545813

    申请日:2019-08-20

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, changes to local versions of the ANN can be combined with a master version of the ANN. In the system, a first device can include memory that can store the master version, a second device can include memory that can store a local version of the ANN, and there can be many devices that store local versions of the ANN. The second device (or any other device of the system hosting a local version) can include a processor that can train the local version, and a transceiver that can transmit changes to the local version generated from the training. The first device can include a transceiver that can receive the changes to a local version, and a processing device that can combine the received changes with the master version.

    Memory Management Unit (MMU) for Accessing Borrowed Memory

    公开(公告)号:US20200379919A1

    公开(公告)日:2020-12-03

    申请号:US16424420

    申请日:2019-05-28

    Abstract: Systems, methods and apparatuses to accelerate accessing of borrowed memory over network connection are described. For example, a memory management unit (MMU) of a computing device can be configured to be connected both to the random access memory over a memory bus and to a computer network via a communication device. The computing device can borrow an amount of memory from a remote device over a network connection using the communication device; and applications running in the computing device can use virtual memory addresses mapped to the borrowed memory. When a virtual address mapped to the borrowed memory is used, the MMU translates the virtual address into a physical address and instruct the communication device to access the borrowed memory.

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