Finding deterministic solution from underdetermined equation: Large-scale performance modeling by least angle regression

Proceedings - Design Automation Conference

Volumn , Issue , 2009, Pages 364-369

  Li, Xin ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Process variation; Response surface modeling

Indexed keywords

AGGRESSIVE SCALING; BASIS FUNCTIONS; EFFICIENT ALGORITHM; HIGH-DIMENSIONAL; IC TECHNOLOGY; LEAST SQUARE; MODEL COEFFICIENT; MODELING TECHNIQUE; NON-LINEAR VARIATION; OVERFITTING; PERFORMANCE MODELING; PERFORMANCE VARIABILITY; PROCESS VARIATION; REGULARIZATION METHODS; RESPONSE SURFACE MODELING; SAMPLING POINTS;

ALGORITHMS; COMPUTER AIDED DESIGN; DIGITAL INTEGRATED CIRCUITS; SURFACE PROPERTIES;

SIMULATORS;

EID: 70350702935     PISSN: 0738100X     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Semiconductor Industry Associate, International Technology Roadmap for Semiconductors, 2007.
2. X. Li, J. Le, L. Pileggi and A. Strojwas, "Projection-based performance modeling for inter/intra-die variations," IEEE ICCAD, pp. 721-727, 2005.
3. Z. Feng and P. Li, "Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression," IEEE ICCAD, pp. 868-875, 2006.
4. A. Singhee and R. Rutenbar, "Beyond low-order statistical response surfaces: latent variable regression for efficient, highly nonlinear fitting," IEEE DAC, pp. 256-261, 2007.
5. A. Mitev, M. Marefat, D. Ma and J. Wang, "Principle Hessian direction based parameter reduction for interconnect networks with process variation," IEEE ICCAD, pp. 632-637, 2007.
6. X. Li and H. Liu, "Statistical regression for efficient highdimensional modeling of analog and mixed-signal performance variations," IEEE DAC, pp. 38-43, 2008.
7. X. Li, J. Le, P. Gopalakrishnan and L. Pileggi, "Asymptotic probability extraction for non-normal distributions of circuit performance," IEEE ICCAD, pp. 2-9, 2004.
8. B. Efron, T. Hastie and I. Johnstone, "Least angle regression," The Annals of Statistics, vol. 32, no. 2, pp. 407-499, 2004.
9. E. Candes, "Compressive sampling," International Congress of Mathematicians, 2006.
10. J. Tropp and A. Gilbert, "Signal recovery from random measurements via orthogonal matching pursuit," IEEE Trans. Information Theory, vol. 53, no. 12, pp. 4655-4666, 2007.
11. G. Seber, Multivariate Observations, Wiley Series, 1984.
12. T. Hastie, R. Tibshirani and J. Friedman, The Elements of Statistical Learning, Springer, 2003.
13. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004.