FOUR-BIT TRAINING FOR MACHINE LEARNING

    公开(公告)号:US20220180171A1

    公开(公告)日:2022-06-09

    申请号:US17112528

    申请日:2020-12-04

    Abstract: An apparatus includes a floating-point gradient register; an integer register; a memory bank; and an array of processing units. Each of the units includes a plurality of binary shifters having an integer input configured to obtain corresponding bits of a 4-bit integer multiplicand, and a shift-specifying input configured to obtain corresponding bits in an exponent field of a 4-bit floating point multiplier. The multiplier is specified in a mantissaless four-bit floating point format including a sign bit, three exponent bits, and no mantissa bits. An adder tree has a plurality of inputs coupled to outputs of the plurality of shifters, and a rounder has an input coupled to an output of the adder tree. The integer inputs are connected to the integer register; the shift-specifying inputs are connected to the floating-point gradient register; and outputs of the rounders are coupled to the memory bank.

    Floating point unit for exponential function implementation

    公开(公告)号:US11163533B2

    公开(公告)日:2021-11-02

    申请号:US16515174

    申请日:2019-07-18

    Abstract: A computer-implemented method for performing an exponential calculation using only two fully-pipelined instructions in a floating point unit that includes. The method includes computing an intermediate value y′ by multiplying an input operand with a predetermined constant value. The input operand is received in floating point representation. The method further includes computing an exponential result for the input operand by executing a fused instruction. The fused instructions includes converting the intermediate value y′ to an integer representation z represented by v most significant bits (MSB), and w least significant bits (LSB). The fused instruction further includes determining exponent bits of the exponential result based on the v MSB from the integer representation z. The method further includes determining mantissa bits of the exponential result according to a piece-wise linear mapping function using a predetermined number of segments based on the w LSB from the integer representation z.

    NEURAL NETWORK CIRCUITRY HAVING FLOATING POINT FORMAT WITH ASYMMETRIC RANGE

    公开(公告)号:US20210064976A1

    公开(公告)日:2021-03-04

    申请号:US16558554

    申请日:2019-09-03

    Abstract: An apparatus includes circuitry for a neural network that is configured to perform forward propagation neural network operations on floating point numbers having a first n-bit floating point format. The first n-bit floating point format has a configuration consisting of a sign bit, m exponent bits and p mantissa bits where m is greater than p. The circuitry is further configured to perform backward propagation neural network operations on floating point numbers having a second n-bit floating point format that is different than the first n-bit floating point format. The second n-bit floating point format has a configuration consisting of a sign bit, q exponent bits and r mantissa bits where q is greater than m and r is less than p.

    FERRO-ELECTRIC COMPLEMENTARY FET
    40.
    发明申请

    公开(公告)号:US20200013785A1

    公开(公告)日:2020-01-09

    申请号:US16576441

    申请日:2019-09-19

    Abstract: A field-effect transistor includes a semiconductor substrate having first, second, third, and fourth sides, and a ferroelectric gate stack on an upper surface of the substrate. The ferroelectric gate stack includes a gate insulating layer; and a ferroelectric material layer on the gate insulating layer. Portions of the upper surface of the substrate between the first side and the ferroelectric gate stack and between the second side and the ferroelectric gate stack are doped with n-type impurities, and portions of the upper surface of the substrate between the third side and the ferroelectric gate stack and between the fourth side and the ferroelectric gate stack are doped with p-type impurities. A presence of both n and p channels in a same region increases a capacitance and voltage gain of the ferroelectric gate stack.

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