Area-time complexity for VLSI

  • Authors:
  • C. D. Thompson

  • Affiliations:
  • -

  • Venue:
  • STOC '79 Proceedings of the eleventh annual ACM symposium on Theory of computing
  • Year:
  • 1979

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Abstract

The complexity of the Discrete Fourier Transform (DFT) is studied with respect to a new model of computation appropriate to VLSI technology. This model focuses on two key parameters, the amount of silicon area and time required to implement a DFT on a single chip. Lower bounds on area (A) and time (T) are related to the number of points (N) in the DFT: AT2≥ N2/16. This inequality holds for any chip design based on any algorithm, and is nearly tight when T &equil; &thgr;(N1/2) or T &equil; &thgr;(log N). A more general lower bound is also derived: ATx &equil; &Ohgr;(N1+x/2), for 0≤×≤2.