Title :
High-level current macro-model for power-grid analysis
Author :
Bodapati, Srinivas ; Najm, Farid N.
Author_Institution :
Coordinated Sci. Lab., Illinois Univ., Urbana, IL, USA
Abstract :
We present a frequency domain current macro-modeling technique for capturing the dependence of the block current waveform on its input vectors. The macro-model is based on estimating the discrete cosine transform (DCT) of the current waveform as a function of input vector pair and then taking the inverse transform to estimate the time domain current waveform. The input vector pairs are partitioned according to Hamming distance and a current macro-model is built for each Hamming distance using regression. Regression is done on a set of current waveforms generated for each circuit, using HSPICE. The average relative error in peak current estimation using the current macro-model is less than 20%
Keywords :
SPICE; circuit simulation; discrete cosine transforms; frequency-domain analysis; integrated circuit design; time-domain analysis; HSPICE; Hamming distance; block current waveform; discrete cosine transform; frequency domain current macro-modeling technique; high-level current macro-model; input vectors; inverse transform; peak current estimation; power-grid analysis; time domain current waveform; Circuits; Discrete cosine transforms; Discrete transforms; Hamming distance; Permission; Polynomials; Power grids; Random number generation; Shape; Time domain analysis;
Conference_Titel :
Design Automation Conference, 2002. Proceedings. 39th
Conference_Location :
New Orleans, LA
Print_ISBN :
1-58113-461-4
DOI :
10.1109/DAC.2002.1012655
