Pre-placement of VLSI blocks through learning neural networks

  title={Pre-placement of VLSI blocks through learning neural networks},
  author={Daniele D. Caviglia and Giacomo M. Bisio and Francesco Curatelli and L. Giovannacci and Luigi Raffo},
This paper presents a new neural network approach to the pre-placement of VLSI blocks. Our innovation consists in considering the pre-placement problem as a classification problem, and in implementing a neural network learning algorithm, derived from Kohonen maps, to accomplish this task. The neural network has been simulated and the results have been compared with those obtained from a classical min-cut algorithm. The comparison shows as our technique offers comparable quality of solutions… CONTINUE READING

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