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matlab interface and PSF data format

vlau2

I am developing a custom function in Cadence's calculator to do some advance analysis from simulation data.  I know how to read cadence's simulation data from matlab (using measure functions), after performing matlab transformation of simulation data, I want to write it back to cadence (possibly in PSF data format) so that cadence can read the data and plot it.  Can someone tells me whether this approach make sense?  And is there any functions available to write the matlab data back in PSF format?

 

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  • Andrew Beckett

    This thread is pretty old so your response was against the forum guidelines which ask you not to post on old threads.

    Anyway, we've had a Spectre Toolbox for Matlab which allows spectre results to be read directly into Matlab since something like 2005 or 2006 (I forget exactly when it was introduced). We also introduced a new, more powerful interface from ADE Explorer and Assembler to Matlab which allows Matlab to be used for big data processing on simulation results in a much simpler fashion - including querying across all of your large numbers of sweeps and corners without necessarily needing to access all the individual data if you don't want to.

    This was launched at this year's CDNLIve EMEA (mentioned in the Breakfast Bytes blog) - for more details contact your account team. There's also a Rapid Adoption Kit on this.

    We did consider a Python interface too - but whilst Python is undoubtedly popular for data processing (using things like Numpy, Matplotlib etc), in the Engineering community Matlab is much more commonly used - so it was better to implement something that had wider appeal.

    Regards,

    Andrew.

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  • Andrew Beckett

    This thread is pretty old so your response was against the forum guidelines which ask you not to post on old threads.

    Anyway, we've had a Spectre Toolbox for Matlab which allows spectre results to be read directly into Matlab since something like 2005 or 2006 (I forget exactly when it was introduced). We also introduced a new, more powerful interface from ADE Explorer and Assembler to Matlab which allows Matlab to be used for big data processing on simulation results in a much simpler fashion - including querying across all of your large numbers of sweeps and corners without necessarily needing to access all the individual data if you don't want to.

    This was launched at this year's CDNLIve EMEA (mentioned in the Breakfast Bytes blog) - for more details contact your account team. There's also a Rapid Adoption Kit on this.

    We did consider a Python interface too - but whilst Python is undoubtedly popular for data processing (using things like Numpy, Matplotlib etc), in the Engineering community Matlab is much more commonly used - so it was better to implement something that had wider appeal.

    Regards,

    Andrew.

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