For VLSI design in deep submicron technology, the bus energy reduction has become more and more important. This paper studies the bus partition scheme for the transition pattern coding (TPC). The genetic algorithm bas...
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(纸本)0780387368
For VLSI design in deep submicron technology, the bus energy reduction has become more and more important. This paper studies the bus partition scheme for the transition pattern coding (TPC). The genetic algorithm based approach is used. A closed-form expression is derived to calculate the energy dissipation for the partitioned bus with TPC coding. A general bus model with coupling capacitance is considered during the energy estimation and optimization. The resulted partitioned bus coding reduces the encoding and decoding complexity of the original TPC. The experimental results show that the TPC with careful bus partitioned saves up to 16.9% the energy of the TPC with random bus partition.
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