efficient compression and handling of current source model library waveforms
This paper describes a waveform compression technique suitable for the efficient utilization, storage and interchange of the emerging current source model (CSM) based cell libraries. The technique is based on pre-processing of a collection of voltage/current waveforms for the cells in the library and then, constructing an orthogonal time-voltage/time-current waveform basis using singular-value decomposition. Compression is achieved by representing all waveforms as linear combination coefficients of adaptive subset of the basis waveforms. Experimental results indicate that adaptive waveform representation results in higher compression ratios than the waveform representation as a function of fixed set of basis functions. Interpolation and further compression are obtained by representing the coefficients as simple functions of various parameters, e.g., input slew, load capacitance, supply voltage, and temperature. The methods introduced in this paper are tested and validated on several industrial strength libraries, with spectacular compression results.
current source model pre-processing parameterization principal component adaptive data compression