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Scalable trajectory methods for on-demand analog macromodel extraction
2005
Proceedings of the 42nd annual conference on Design automation - DAC '05
Trajectory methods sample the state trajectory of a circuit as it simulates in the time domain, and build macromodels by reducing and interpolating among the linearizations created at a suitably spaced subset of the time points visited during training simulations. Unfortunately, moving from simple to industrial circuits requires more extensive training, which creates models too large to interpolate efficiently. To make trajectory methods practical, we describe a scalable interpolation
doi:10.1145/1065579.1065686
dblp:conf/dac/TiwaryR05
fatcat:gtcqcbpnfzgmxph3huda43tffi