Abstract: Systems and methods for optimizing timing/power risk SVB using a customer-supplied, non-linear voltage slope. Chips are manufactured according to an integrated circuit design. The minimum operating voltage and hardware variations for each device in the design is determined and a process distribution for the chips is divided into process windows. Vmax and Vmin to support system frequency are determined for each process window. Vmin vs. process-bin mean and sigma sensitivity is calculated using information about specific devices. The voltage for each process window that generates Vmin for specific devices is identified. Power at the slow end and fast end of each process window is evaluated using the voltage to support system frequency. Pmax is determined. Vmax for each process window that generates Pmax is determined. A voltage is identified between Vmin and Vmax that maximizes the timing margin for system frequency while minimizing risk for Pmax.

Abstract: Systems and methods for optimizing timing/power risk SVB using a customer-supplied, non-linear voltage slope. Chips are manufactured according to an integrated circuit design. The minimum operating voltage and hardware variations for each device in the design is determined and a process distribution for the chips is divided into process windows. Vmax and Vmin to support system frequency are determined for each process window. Vmin vs. process-bin mean and sigma sensitivity is calculated using information about specific devices. The voltage for each process window that generates Vmin for specific devices is identified. Power at the slow end and fast end of each process window is evaluated using the voltage to support system frequency. Pmax is determined. Vmax for each process window that generates Pmax is determined. A voltage is identified between Vmin and Vmax that maximizes the timing margin for system frequency while minimizing risk for Pmax.

Abstract: Methods and structures for leakage screening are disclosed. A method includes sorting devices manufactured from the same device design into voltage bins corresponding to a respective supply voltage. The method further includes determining a respective total power of each of the voltage bins. The method further includes determining a respective uplift power of the voltage bins. The method further includes determining a respective first leakage screen value for each of the voltage bins based on the respective uplift power of each of the voltage bins.

Abstract: Methods and systems for system power estimation are provided. A method implemented in a computer infrastructure includes separating products into different segments. The method also includes calculating a power estimation for each segment based on operating conditions of each respective segment. The method further includes calculating an average system power estimation. At least one of the separating, calculating the power estimation, and calculating the average system power estimation is performed using a processor.

Abstract: Methods and structures for leakage screening are disclosed. A method includes sorting devices manufactured from the same device design into voltage bins corresponding to a respective supply voltage. The method further includes determining a respective total power of each of the voltage bins. The method further includes determining a respective uplift power of the voltage bins. The method further includes determining a respective first leakage screen value for each of the voltage bins based on the respective uplift power of each of the voltage bins.

Abstract: Methods and systems for system power estimation are provided. A method implemented in a computer infrastructure includes separating products into different segments. The method also includes calculating a power estimation for each segment based on operating conditions of each respective segment. The method further includes calculating an average system power estimation. At least one of the separating, calculating the power estimation, and calculating the average system power estimation is performed using a processor.