Performance-Driven Floorplanning Technique Based on Collaboration of Software and Hardware

The floorplanning problem is an essential design step in VLSI layout design and it is how to place rectangular modules as density as possible. In this paper, we proposed a novel performance driven floorplanning technique. The proposed algorithms based on genetic algorithm (GA) is adopted to a sequence pair. The GA is one of the most powerful optimization methods based on the mechanics of natural evolution. However, the problem of the processing time stemming from a population based search exits in GA. In order to reduce the processing time, a novel technique of collaboration of software (SW) and hardware(HW) also is introduced. Experimental results evaluating the proposed algorithm are shown good performance.