INEQUALITY CHECK WITH TERNARY CAM
    1.
    发明公开

    公开(公告)号:US20240363163A1

    公开(公告)日:2024-10-31

    申请号:US18308990

    申请日:2023-04-28

    CPC classification number: G11C15/046 G11C13/0069

    Abstract: Systems and methods are provided for implementing a low power and area ternary content addressable memory (TCAM). An example of a TCAM comprises a match line, and a plurality of TCAM cells connected along the match line. Each TCAM cell stores a state of a threshold value. The TCAM cells are configured to pull down a signal over the match line in response to inequality between an input search and the threshold value. The plurality of TCAM cells comprises a number of TCAM cells that is less than the threshold value. The input values can be encoded according to a first encoding scheme and the threshold value can be encoded according to one of a second and a third encoding scheme based on an inequality check mapped to the plurality of TCAM cells.

    INCREASED PRECISION ANALOG CONTENT ADDRESSABLE MEMORIES

    公开(公告)号:US20240029792A1

    公开(公告)日:2024-01-25

    申请号:US17872882

    申请日:2022-07-25

    CPC classification number: G11C15/04 G11C16/12 G11C16/102 H03K19/01742

    Abstract: Examples increase precision for aCAMs by converting an input signal (x) received by a circuit into a first analog voltage signal (V(xMSB)) representing the most significant bits of the input signal (x) and a second analog voltage signal (V(xLSB)) representing the least significant bits of the input signal (x). By dividing the input signal (x) bit-wise into the first analog voltage signal (V(xMSB)) and the second analog voltage signal (V(xLSB)), the circuit can utilize aCAM sub-circuits implementing a combination of Boolean operations to search the input signal (x) against 22*M programmable levels, where “M” represents the number of programmable bits for each aCAM sub-circuit. Thus, using similar circuit hardware, example circuits square the number of programmable levels of conventional aCAMs (which generally only have 2M programmable levels). Accordingly, examples provide new aCAMs that can carry out more complex computations than conventional aCAMs of comparable cost, size, and power consumption.

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