9 research outputs found
Estimación estadÃstica de consumo en FPGAs
Tesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, junio de 200
Power Estimation for Large Sequential Circuits
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
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 â€
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 â€
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