Switching activity analysis considering spatiotemporal correlations

  • Authors:
  • Radu Marculescu;Diana Marculescu;Massoud Pedram

  • Affiliations:
  • Department of Electrical Engineering - Systems, University of Southern California, Los Angeles, CA;-;Department of Electrical Engineering - Systems, University of Southern California, Los Angeles, CA

  • Venue:
  • ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
  • Year:
  • 1994

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Abstract

This work presents techniques for computing the switching activities of all circuit nodes under pseudorandom or biased input sequences and assuming a zero delay mode of operation. Complex spatiotemporal correlations among the circuit inputs and internal nodes are considered by using a lag-one Markov Chain model. Evaluations of the model and a comparative analysis presented for benchmark circuits demonstrates the accuracy and the practicality of the method. The results presented in this paper are useful in power estimation and low power design.