METHODS AND SYSTEMS FOR AUTONOMOUS MEMORY
    26.
    发明申请
    METHODS AND SYSTEMS FOR AUTONOMOUS MEMORY 有权
    自动记忆的方法和系统

    公开(公告)号:US20150153963A1

    公开(公告)日:2015-06-04

    申请号:US14094273

    申请日:2013-12-02

    Abstract: A method, an apparatus, and a system have been disclosed. An embodiment of the method includes an autonomous memory device receiving a set of instructions, the memory device executing the set of instructions, combining the set of instructions with any data recovered from the memory device in response to the set of instructions into a packet, and transmitting the packet from the memory device.

    Abstract translation: 已经公开了一种方法,装置和系统。 该方法的一个实施例包括接收一组指令的自主存储器设备,该存储器设备执行该组指令,将该组指令与从该存储器设备中恢复的任何数据相结合,以响应该组指令进入一个数据包,以及 从存储装置发送分组。

    METHODS AND SYSTEMS FOR AUTONOMOUS MEMORY SEARCHING
    27.
    发明申请
    METHODS AND SYSTEMS FOR AUTONOMOUS MEMORY SEARCHING 有权
    自动存储器搜索的方法和系统

    公开(公告)号:US20150052114A1

    公开(公告)日:2015-02-19

    申请号:US13965739

    申请日:2013-08-13

    CPC classification number: G06F17/30519

    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.

    Abstract translation: 方法和系统操作以接收用于搜索存储器系统中的数据库的多个搜索请求。 搜索请求可以存储在FIFO队列中,随后可以为每个搜索请求生成搜索。 所得到的多个搜索可以在数据库上基本并行地执行。 当每个相应的搜索完成或每个相应的搜索已经生成搜索结果时,相应的指示被发送到请求主机。

    Feature dictionary for bandwidth enhancement

    公开(公告)号:US12248412B2

    公开(公告)日:2025-03-11

    申请号:US17841448

    申请日:2022-06-15

    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.

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