Systems and methods for harnessing analog noise in efficient optimization problem accelerators

    公开(公告)号:US11610105B2

    公开(公告)日:2023-03-21

    申请号:US16386849

    申请日:2019-04-17

    Abstract: Systems and methods are provided for implementing a hardware accelerator. The hardware accelerator emulates a neural network, and includes a memristor crossbar array, and a non-linear filter. The memristor crossbar array can be programmed to calculate node values of the neural network. The nodes values can be calculated in accordance with rules to reduce an energy function associated with the neural network. The non-linear filter is coupled to the memristor crossbar array and programmed to harness noise signals that may be present in analog circuitry of the hardware accelerator. The noise signals can be harnessed such that the energy function associated with the neural network converges towards a global minimum and modifies the calculated node values. In some embodiments, the non-liner filter is implemented as a Schmidt trigger comparator.

    SELF-HEALING DOT-PRODUCT ENGINE
    122.
    发明申请

    公开(公告)号:US20210225440A1

    公开(公告)日:2021-07-22

    申请号:US17223435

    申请日:2021-04-06

    Abstract: A DPE memristor crossbar array system includes a plurality of partitioned memristor crossbar arrays. Each of the plurality of partitioned memristor crossbar arrays includes a primary memristor crossbar array and a redundant memristor crossbar array. The redundant memristor crossbar array includes values that are mathematically related to values within the primary memristor crossbar array. In addition, the plurality of partitioned memristor crossbar arrays includes a block of shared analog circuits coupled to the plurality of partitioned memristor crossbar arrays. The block of shared analog circuits is to determine a dot product value of voltage values generated by at least one partitioned memristor crossbar array of the plurality of partitioned memristor crossbar arrays.

    Self-healing dot-product engine
    123.
    发明授权

    公开(公告)号:US10984860B2

    公开(公告)日:2021-04-20

    申请号:US16364717

    申请日:2019-03-26

    Abstract: A DPE memristor crossbar array system includes a plurality of partitioned memristor crossbar arrays. Each of the plurality of partitioned memristor crossbar arrays includes a primary memristor crossbar array and a redundant memristor crossbar array. The redundant memristor crossbar array includes values that are mathematically related to values within the primary memristor crossbar array. In addition, the plurality of partitioned memristor crossbar arrays includes a block of shared analog circuits coupled to the plurality of partitioned memristor crossbar arrays. The block of shared analog circuits is to determine a dot product value of voltage values generated by at least one partitioned memristor crossbar array of the plurality of partitioned memristor crossbar arrays.

    SYSTEMS AND METHODS FOR HARNESSING ANALOG NOISE IN EFFICIENT OPTIMIZATION PROBLEM ACCELERATORS

    公开(公告)号:US20200334523A1

    公开(公告)日:2020-10-22

    申请号:US16386849

    申请日:2019-04-17

    Abstract: Systems and methods are provided for implementing a hardware accelerator. The hardware accelerator emulates a neural network, and includes a memristor crossbar array, and a non-linear filter. The memristor crossbar array can be programmed to calculate node values of the neural network. The nodes values can be calculated in accordance with rules to reduce an energy function associated with the neural network. The non-linear filter is coupled to the memristor crossbar array and programmed to harness noise signals that may be present in analog circuitry of the hardware accelerator. The noise signals can be harnessed such that the energy function associated with the neural network converges towards a global minimum and modifies the calculated node values. In some embodiments, the non-liner filter is implemented as a Schmidt trigger comparator.

    Memristive arrays with offset elements

    公开(公告)号:US10706922B2

    公开(公告)日:2020-07-07

    申请号:US16063804

    申请日:2016-01-26

    Abstract: In one example in accordance with the present disclosure a device is described. The device includes a cross-bar array of memristive elements. Each memristive element has a conductance value. The device also includes a column of offset elements. An offset element is coupled to a row of memristive elements and has a conductance value. The device also includes a number of accumulation elements. An accumulation element is coupled to a column of memristive elements. The accumulation element collects an intermediate output from the column and subtracts from the intermediate output an output from the column of offset elements.

    Memristor Spiking Architecture
    128.
    发明申请

    公开(公告)号:US20200026995A1

    公开(公告)日:2020-01-23

    申请号:US16037060

    申请日:2018-07-17

    Abstract: A circuit for a neuron of a multi-stage compute process is disclosed. The circuit comprises a weighted charge packet (WCP) generator. The circuit may also include a voltage divider controlled by a programmable resistance component (e.g., a memristor). The WCP generator may also include a current mirror controlled via the voltage divider and arrival of an input spike signal to the neuron. WCPs may be created to represent the multiply function of a multiply accumulate processor. The WCPs may be supplied to a capacitor to accumulate and represent the accumulate function. The value of the WCP may be controlled by the length of the spike in signal times the current supplied through the current mirror. Spikes may be asynchronous. Memristive components may be electrically isolated from input spike signals so their programmed conductance is not affected. Positive and negative spikes and WCPs for accumulation may be supported.

    Systems and Methods for Processing an Optical Signal

    公开(公告)号:US20190324205A1

    公开(公告)日:2019-10-24

    申请号:US15959580

    申请日:2018-04-23

    Abstract: Systems and methods are provided for processing an optical signal. An example system may include a source disposed on a substrate and capable of emitting the optical signal. A first waveguide is formed in the substrate to receive the optical signal. A first coupler is disposed on the substrate to receive a reflected portion of the optical signal. A second waveguide is formed in the substrate to receive the reflected portion from the first coupler. A second coupler is formed in the substrate to mix the optical signal and the reflected portion to form a mixed signal. Photodetectors are formed in the substrate to convert the mixed signal to an electrical signal. A processor is electrically coupled to the substrate and programmed to convert the electrical signal from a time domain to a frequency domain to determine a phase difference between the optical signal and the reflected portion.

    Tunable and dynamically adjustable error correction for memristor crossbars

    公开(公告)号:US10452472B1

    公开(公告)日:2019-10-22

    申请号:US15997030

    申请日:2018-06-04

    Abstract: A dot-product engine (DPE) implemented on an integrated circuit as a crossbar array (CA) includes memory elements comprising a memristor and a transistor in series. A crossbar with N rows, M columns may have N×M memory elements. A vector input for N voltage inputs to the CA and a vector output for M voltage outputs from the CA. An analog-to-digital converter (ADC) and/or a digital-to-analog converter (DAC) may be coupled to each input/output register. Values representing a first matrix may be stored in the CA. Voltages/currents representing a second matrix may be applied to the crossbar. Ohm's Law and Kirchoff's Law may be used to determine values representing the dot-product as read from the crossbar. A portion of the crossbar may perform Error-correcting Codes (ECC) concurrently with calculating the dot-product results. ECC codes may be used to only indicate detection of errors, or for both detection and correction of results.

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