9 research outputs found

    Estimación estadística de consumo en FPGAs

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    Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 200

    Power Estimation for Large Sequential Circuits

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    Abstract – A power estimation approach is presented in which blocks of consecutive vectors are selected at random from a user-supplied realistic input vector set and the circuit is simulated for each block starting from an unknown state. This leads to two (upper and lower) bounds on the desired power value which can be quite tight (under 10 % difference between the two in many cases). As a result, the power dissipation is obtained by simulating only a fraction of the potentially very large vector set

    Power Estimation for Large Sequential Circuits

    No full text
    Abstract – A power estimation approach is presented in which blocks of consecutive vectors are selected at random from a user-supplied realistic input vector set and the circuit is simulated for each block starting from an unknown state. This leads to two (upper and lower) bounds on the desired power value which can be quite tight (under 10 % difference between the two in many cases). As a result, the power dissipation is obtained by simulating only a fraction of the potentially very large vector set

    Accurate power estimation for large sequential circuits

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    Accurate Power Estimation for Large Sequential Circuits †

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    A power estimation approach is presented in which blocks of consecutive vectors are selected at random from a user-supplied realistic input vector set and the circuit is simulated for each block starting from an unknown state. This leads to two (upper and lower) bounds on the desired power value which can be quite tight (under 10 % difference between the two in many cases). As a result, the power dissipation is obtained by simulating only a fraction of the potentially very large vector set. 1

    Accurate Power Estimation for Large Sequential Circuits †

    No full text
    A power estimation approach is presented in which blocks of consecutive vectors are selected at random from a user-supplied realistic input vector set and the circuit is simulated for each block starting from an unknown state. This leads to two (upper and lower) bounds on the desired power value which can be quite tight (under 10 % difference between the two in many cases). As a result, the power dissipation is obtained by simulating only a fraction of the potentially very large vector set. 1

    Accurate Power Estimation for Large Sequential Circuits

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