This chapter covers the results of the developed circuit capture, placement, and routing mechanisms. First, three different simplified test circuits will be introduced, and the results of their capture will be shown. This is followed by the results of the reinforcement learning (RL) and simulated annealing (SA)-based placement engines. For both engines, the evolution of the placement criterion throughout the optimization process will be shown and discussed. Furthermore, a comparison of the two engines regarding their performances will be made. At the end of this chapter, the results of the wire-planning algorithm and the detailed routing of the test circuits will be shown and discussed. For one of the test circuits, the effectiveness of the wire-planning algorithm is described in detail.

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Experimental Results

  • Jakob Ratschenberger,
  • Harald Pretl

摘要

This chapter covers the results of the developed circuit capture, placement, and routing mechanisms. First, three different simplified test circuits will be introduced, and the results of their capture will be shown. This is followed by the results of the reinforcement learning (RL) and simulated annealing (SA)-based placement engines. For both engines, the evolution of the placement criterion throughout the optimization process will be shown and discussed. Furthermore, a comparison of the two engines regarding their performances will be made. At the end of this chapter, the results of the wire-planning algorithm and the detailed routing of the test circuits will be shown and discussed. For one of the test circuits, the effectiveness of the wire-planning algorithm is described in detail.