Title :
Statistical timing macromodels of digital IP libraries
Author :
Zanella, Stefano ; Neviani, Andrea ; Franzimi, B. ; Guardiani, Carlo
Author_Institution :
Dipt. di Elettronica e Inf., Padova Univ., Italy
Abstract :
In this paper we present an innovative statistical methodology that allows one to get an accurate, hierarchical macro-model of the probability density function (pdf) of digital IP block timings. Every timing measurement is expanded in series of orthogonal polynomials, and the coefficients of the expansion are directly obtained from the (known) moments of the pdf of SPICE model parameters. Good agreement is demonstrated by comparing the macro-model with traditional Monte-Carlo simulations on a 0.25 μm CMOS standard cell library
Keywords :
CMOS integrated circuits; SPICE; integrated circuit modelling; polynomials; probability; statistical analysis; 0.25 mum; CMOS standard cell library; SPICE model parameters; digital IP block timings; digital IP libraries; hierarchical macro-model; orthogonal polynomials; probability density function; statistical methodology; statistical timing macromodels; Capacitance measurement; Integrated circuit modeling; Measurement standards; Polynomials; Probability density function; Propagation delay; SPICE; Semiconductor device modeling; Software libraries; Timing;
Conference_Titel :
Statistical Metrology, 2000 5th International Workshop on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-5896-1
DOI :
10.1109/IWSTM.2000.869316
