Cycle time and slack optimization for VLSI-chips

  • Authors:
  • C. Albrecht;B. Korte;J. Schietke;J. Vygen

  • Affiliations:
  • Research Institute for Discrete Mathematics, University of Bonn, Lennéstr. 2, 53113 Bonn, Germany;Research Institute for Discrete Mathematics, University of Bonn, Lennéstr. 2, 53113 Bonn, Germany;Research Institute for Discrete Mathematics, University of Bonn, Lennéstr. 2, 53113 Bonn, Germany;Research Institute for Discrete Mathematics, University of Bonn, Lennéstr. 2, 53113 Bonn, Germany

  • Venue:
  • ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1999

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Abstract

We consider the problem of finding an optimal clock schedule, i.e. optimal arrival times for clock signals at latches of a VLSI chip. We describe a general model which includes all previously considered models. Then we show how to optimize the cycle time and optimally balance slacks on data paths and on clocktree paths.The problem of finding a clock schedule with the optimum cycle time was solved before, either by linear programming or by binary search, using a test for negative circuits in a digraph as a subroutine. We show for the first time that a direct combinatorial algorithm solves this problem optimally. Incidentally, this yields a new efficient method for timing analysis with transparent latches.Moreover, we extend this algorithm to the slack balancing problem: To make the chip less sensitive to routing detours, process variations and manufacturing skew it is desirable to have as few critical paths as possible. We show how to find the clock schedule with minimum number of critical paths (optimum slack distribution) in a well-defined sense. Rather than fixed clock arrival times we show how to obtain as large as possible intervals for the clock arrival times. This can be considered as slack on clocktree paths. Indeed, we can find the global optimum of simultaneous optimization of slacks on all data paths and clocktree paths.All the above is done by very efficient network optimization algorithms, based on parametric shortest paths. Our computational results with recent IBM processor chips show that the number of critical paths decreases dramatically, in addition to a considerable improvement of the cycle time. The running times are reasonable even for the largest designs.