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set up parametric simulation to utilize multiple cores

whlinfei

Hi,

 

I am using Cadence 6.1.5 and spectre to run transient simulations. I wish to run parametric simulations on a few variables in my design.

The workstation I have access to has 32 cores and typically more than half of them are free.

May I know how I can set the parametric simulations in a way that parallel transient simulations can be run simutaneously by different cores? Like each core runs a simulation in which the variables take on different values?

 Thank you in advance.

Regards,

Whlinfei 

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  • Hello Whlinfei,

    If you have access to ADE XL, you can define a parametric simulation by importing an already existing ADE L state or creating a test with a design variable, which you can parameterize by adding a variable specification in the ADE XL "Data View". In the run summary, you can verify the number of sweep points by inspecting the "Run Summary" where it'll report "N Point Sweeps" where N is the number of parametric simulations you have defined

    Then, under Options -> Job Setup you can define the distribution method to be local and increase the number of jobs to the number of processor cores you have. This will ensure ADE XL creates parallel jobs for your parametric simulations, and it'll take considerably less time than serializing the jobs. However, I have found that it's better to use the number of physical processor cores than the number of cores provided by hyperthreading; the former usually yields faster simulation times for me.

    Regards,

    Çağrı.

Reply

  • Hello Whlinfei,

    If you have access to ADE XL, you can define a parametric simulation by importing an already existing ADE L state or creating a test with a design variable, which you can parameterize by adding a variable specification in the ADE XL "Data View". In the run summary, you can verify the number of sweep points by inspecting the "Run Summary" where it'll report "N Point Sweeps" where N is the number of parametric simulations you have defined

    Then, under Options -> Job Setup you can define the distribution method to be local and increase the number of jobs to the number of processor cores you have. This will ensure ADE XL creates parallel jobs for your parametric simulations, and it'll take considerably less time than serializing the jobs. However, I have found that it's better to use the number of physical processor cores than the number of cores provided by hyperthreading; the former usually yields faster simulation times for me.

    Regards,

    Çağrı.

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