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Final-value ODEs: stable numerical integration and its application to parallel circuit analysis

Published:02 November 2009Publication History

ABSTRACT

While solving initial-value ODEs is the de facto approach to time-domain circuit simulation, the opposite act, solving final-value ODEs, has been neglected for a long time. Stable numerical integration of initial-value ODEs involves significant complications; the application of standard integration methods simply leads to instability. We show that not only practically meaningful applications of final-value ODE problems exist, but also the inherent stability challenges may be addressed by recently proposed numerical methods. Furthermore, we demonstrate an elegant bi-directional parallel circuit simulation scheme, where one time-domain simulation task is sped up by simultaneously solving initial and final-value ODEs, one from each end of the time axis. The proposed approach has unique and favorable properties: the solutions of the two ODE problems are completely data independent with built-in automatic load balancing. As a specific application study, we demonstrate the proposed technique under the contexts of parallel digital timing simulation and the shooting-Newton based steady-state analysis.

References

  1. L. W. Nagel. SPICE2: A Computer Program to Simulate Semiconductor Circuits. ERL-M520, University of California, Berkeley, CA, USA, 1975.Google ScholarGoogle Scholar
  2. K. S. Kundert. The Designer's Guide to Spice and Spectre. Kluwer Academic Publishers, Massachusetts, USA, 1995. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Lelarasmee, A. E. Ruehli, and A. L. Sangiovanni-Vincentelli. The waveform relaxation method for time-domain analysis of large scale integrated circuits. TCAD, 1(3):131--145, July 1982.Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. M. W. Reichelt, A. Lumsdaine, and J. K. White. Accerlerated waveform methods for parallel transient simulation of semiconductor devices. In IEEE/ACM ICCAD, pages 270--274. IEEE/ACM, November 1993. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. A. Devgan and R. A. Rohrer. Adaptively controlled explicit simulation. TCAD, 13(6):746--762, June 1994.Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. U. Wever and Q. Zheng. Parallel transient analysis for circuit simulation. In HICSS, pages 442--447. IEEE, January 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. R. Griffith and M. Nakhla. A new high-order absolutely-stable explicit numerical integration algorithm for the time-domain simulation of nonlinear circuits. In IEEE/ACM ICCAD, pages 276--280, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. W. Dong, P. Li, and X. Ye. Wavepipe: parallel transient simulation of analog and digital circuits on multi-core shared-memory machines. In IEEE/ACM DAC, pages 238--243, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. X. Ye, W. Dong, P. Li, and S. Nassif. Maps: Multi-algorithm parallel circuit simulation. In IEEE/ACM ICCAD, pages 73--78, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. H. Peng and C. K. Cheng. Parallel transistor level circuit simulation using domain decomposition methods. In ASP-DAC, pages 397--402, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. W. Dong and P. Li. Parallelizable stable explicit numerical integration for efficient circuit simulation. In IEEE/ACM DAC, pages 382--385, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. W. Dong, P. Li, and G. Huang. Sram dynamic stability: theory, variability and analysis. In IEEE/ACM ICCAD, pages 378--385, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. F. Colon and T. N. Trick. Fast periodic steady-state analysis for large-signal electronic circuits. JSSC, sc-8(4):260--269, August 1973.Google ScholarGoogle Scholar
  14. R. Telichevesky, K. Kundert, I. Elfadel, and J. White. Fast simulation algorithms for rf circuits. In CICC, pages 437--444, May 1996.Google ScholarGoogle ScholarCross RefCross Ref
  15. C. W. Gear and I. G. Kevrekidis. Telescopic projective methods for parabolic differential equations. J. Comput. Phys., 187(1):95--109, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. C. W. Gear and I. G. Kevrekidis. Computing in the past with forward integration. Physics Letter A, 321:335--343, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  17. C. W. Gear. Numerical Initial Value Problems in Ordinary Differential Equations. Prentice-Hall, Englewood Cliffs, New Jersey, USA, 1971. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. C. W. Gear and I. G. Kevrekidis. Projective methods for stiff differential equations: Problems with gaps in their eigenvalue spectrum. SIAM J. Sci. Comput., 24(4):1091--1106, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. T. J. Aprille and T. N. Trick. Steady-state analysis of nonlinear circuits with periodic inputs. Proceedings of The IEEE, 60(1):108--114, January 1972.Google ScholarGoogle ScholarCross RefCross Ref

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      cover image ACM Conferences
      ICCAD '09: Proceedings of the 2009 International Conference on Computer-Aided Design
      November 2009
      803 pages
      ISBN:9781605588001
      DOI:10.1145/1687399

      Copyright © 2009 ACM

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      Publication History

      • Published: 2 November 2009

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