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A new efficient approach to statistical delay modeling of CMOS digital combinational circuits

Published: 06 November 1994 Publication History

Abstract

This paper presents one of the first attempts to statistically characterize signal delays of basic CMOS digital combinatorial circuits using the transistor level approach. Hybrid analytical/iterative delay expressions in terms of the transistor geometries and technological process variations are created for basic building blocks. Local delays of blocks along specific signal paths are combined together for the analysis of complex combinational VLSI circuits. The speed of analysis is increased by 2 to 4 orders of magnitude relative to SPICE, with about 5–10% accuracy. The proposed approach shows good accuracy in modeling the influence of the “noise” parameters on circuit delay relative to direct SPICE-based Monte Carlo analysis. Examples of statistical delay characterization are shown. The important impact of the proposed approach is that statistical evaluation and optimization of delays in much larger VLSI circuits will become possible.

References

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K.M. Opalska, M.A. Styblinski, X. Sun and L.J. Opalski, "An efficient symbolic approach to time delay optimization of CMOS circuits". In IEEE Proc, Singapore, May 1991. ISCAS'91.
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L. J. Opalski, K. Opalski and M. A. Styblinski, "Symbolic modeling of VLSI CMOS circuits for statistical optimization". Technical Report LIDS 92-7, Texas AL;M University, September 1992.
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S. A. Aftab and M. A. Styblinski, "A new analytical/iterative approach to statistical delay characterization of CMOS digital combinational circuits". Int'l Journal of Circuit Theory and Applications. Accepted for publication.
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K.M. Opalska, "Symbolic delay formula generation program for CMOS circuits - User's guide". LIDS Technical Report 10-91, Dept. of Elect. Eng., Texas AL;M University, May 1991.

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      cover image ACM Conferences
      ICCAD '94: Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
      November 1994
      771 pages
      ISBN:0897916905

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      IEEE Computer Society Press

      Washington, DC, United States

      Publication History

      Published: 06 November 1994

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      ICCAD '94: International Conference on Computer Aided Design
      November 6 - 10, 1994
      California, San Jose, USA

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      Overall Acceptance Rate 457 of 1,762 submissions, 26%

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