GAFPGA: Genetic algorithm for FPGA technology mapping

V. Kommu, I. Pomeranz
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引用次数: 26

Abstract

A method for solving the technology mapping problem for field-programmable gate arrays that is based on the genetic algorithm is presented. The genetic algorithm simultaneously optimizes a set of solutions, which makes it a very powerful optimization technique. However, due to the highly constrained search spaces for design automation problems, the application of the genetic algorithm is not straightforward. It is shown that this limitation can be overcome by enhancing the genetic search appropriately. The performance of the enhanced genetic search is demonstrated through experimental results for the technology mapping problem.<>
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GAFPGA:用于FPGA技术映射的遗传算法
提出了一种基于遗传算法的现场可编程门阵列技术映射问题的求解方法。遗传算法同时优化一组解,是一种非常强大的优化技术。然而,由于设计自动化问题的搜索空间受到高度约束,遗传算法的应用并不简单。结果表明,通过适当加强遗传搜索可以克服这一限制。通过对技术映射问题的实验结果验证了增强遗传搜索的性能。
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