A Hybrid Multilevel/genetic Approach for Circuit Partitioning
نویسندگان
چکیده
We present a genetic circuit partitioning algorithm that integrates the Metis graph partitioning package [15] originally designed for sparse matrix computations. Metis is an extremely fast iterative partitioner that uses multilevel clustering. We have adapted Metis to partition circuit netlists, and have applied a genetic technique that uses previous Metis solutions to help construct new Metis solutions. Our hybrid technique produces better results than Metis alone, and also produces bipartitionings that are competitive with previous methods [20] [18] [6] while using less CPU time.
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