PAGE TABLE HOOKS TO MEMORY TYPES
    1.
    发明申请

    公开(公告)号:US20210081324A1

    公开(公告)日:2021-03-18

    申请号:US16573527

    申请日:2019-09-17

    Abstract: A computer system includes physical memory devices of different types that store randomly-accessible data in memory of the computer system. In one approach, access to memory in an address space is maintained by an operating system of the computer system. A virtual page is associated with a first memory type. A page table entry is generated to map a virtual address of the virtual page to a physical address in a first memory device of the first memory type. The page table entry is used by a memory management unit to store the virtual page at the physical address.

    FEATURE DICTIONARY FOR BANDWIDTH ENHANCEMENT

    公开(公告)号:US20210056350A1

    公开(公告)日:2021-02-25

    申请号:US16545854

    申请日:2019-08-20

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN) as well as different versions of a feature dictionary. In the system, encoded inputs for the ANN can be decoded by the feature dictionary, which allows for encoded input to be sent to a master version of the ANN over a network instead of an original version of the input which usually includes more data than the encoded input. Thus, by using the feature dictionary for training of a master ANN there can be reduction of data transmission.

    METHODS AND SYSTEMS FOR AUTONOMOUS MEMORY SEARCHING

    公开(公告)号:US20170351737A1

    公开(公告)日:2017-12-07

    申请号:US15685950

    申请日:2017-08-24

    CPC classification number: G06F16/24569

    Abstract: Methods and systems operate to receive a plurality of search requests for searching a database in a memory system. The search requests can be stored in a FIFO queue and searches can be subsequently generated for each search request. The resulting plurality of searches can be executed substantially in parallel on the database. A respective indication is transmitted to a requesting host when either each respective search is complete or each respective search has generated search results.

    Distributed machine learning with privacy protection

    公开(公告)号:US11755884B2

    公开(公告)日:2023-09-12

    申请号:US16545813

    申请日:2019-08-20

    CPC classification number: G06N3/045 G06N3/048 G06N20/20

    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.

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