Statistical modeling and analysis of chip-level leakage power by spectral stochastic method

• Published in: Integration (Amsterdam) Vol. 43; no. 1; pp. 156 - 165
• Main Authors: Shen, Ruijing, Tan, Sheldon X.-D., Mi, Ning, Cai, Yici
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 2010; Elsevier
• Subjects: Applied sciences; Design. Technologies. Operation analysis. Testing; Electronics; Exact sciences and technology; Full-chip leakage analysis; Gate-based model; Integrated circuits; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices; Spatial correlations; Statistical; Statistical; Spatial correlations; Full-chip leakage analysis; Gate-based model; Spectral method; Spatial correlation; Transistor gate; Stochastic method; Modeling; Orthogonal polynomial; Orthogonal transformation; Statistical method; Integrated circuit modelling; Gate oxide; Leakage current
• ISSN: 0167-9260; 1872-7522
• DOI: 10.1016/j.vlsi.2009.09.003

In this paper, we present a novel statistical full-chip leakage power analysis method. The new method can provide a general framework to derive the full-chip leakage current or power in a closed form in terms of the variational parameters, such as the channel length, the gate oxide thickness, etc. It can accommodate various spatial correlations. The new method employs the orthogonal polynomials to represent the variational gate-level leakages in a closed form first, which is generated by a fast multi-dimensional Gaussian quadrature method. The total leakage currents then are computed by simply summing up the resulting orthogonal polynomials (their coefficients). Unlike many existing approaches, no grid-based partitioning and approximation are required. Instead, the spatial correlations are naturally handled by orthogonal decompositions. The proposed method is very efficient and it becomes linear in the presence of strong spatial correlations. Experimental results show that the proposed method is about 16 × faster than the recently proposed method (Chang and Sapatnekar, 2005 [1]) with constant better accuracy.