CONFIGURABLE MAC FOR NEURAL NETWORK APPLICATIONS

    公开(公告)号:US20210110267A1

    公开(公告)日:2021-04-15

    申请号:US16599306

    申请日:2019-10-11

    Abstract: Certain aspects of the present disclosure are directed to methods and apparatus for configuring a multiply-accumulate (MAC) block in an artificial neural network. A method generally includes receiving, at a neural processing unit comprising one or more logic elements, at least one input associated with a use-case of the neural processing unit; obtaining a set of weights associated with the at least one input; selecting a precision for the set of weights; modifying the set of weights based on the selected precision; and generating an output based, at least in part, on the at least one input, the modified set of weights, and an activation function.

    TRUE RANDOM NUMBER GENERATOR BASED ON PERIOD JITTER

    公开(公告)号:US20210405973A1

    公开(公告)日:2021-12-30

    申请号:US16913631

    申请日:2020-06-26

    Abstract: A true random number generator (TRNG) for generating a sequence of random numbers of bits is disclosed. The TRNG includes a TRNG cell configured to generate a sequence of bits logically alternating with a mean frequency and with substantially random period jitter; a period monitor configured to generate a first sequence of random bits based on a set of periods of the sequence of logically alternating bits; and a sampling circuit configured to sample the first sequence of random bits in response to a sampling clock to generate a second sequence of random bits.

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