摘要： 针对参数化SOC设计空间的复杂性,提出了一种新的搜索策略,该搜索策略以多目标演化算法为核心,依据参数依赖性概念对设计空间进行大幅度的缩减并使用空间阈值技巧增加了策略的适应性。通过与敏感度分析搜索策略的实验对比,证明了该策略在得到更优配置的同时可以显著缩短搜索时间。

关键词: 参数化SOC, 设计空间搜索, 多目标优化, 多目标演化算法

Abstract: This paper proposes a new exploration strategy to resolve the SOC design space exploration difficulty. The strategy uses IP parameter interdependency to reduce the design space and selects exploration algorithms to explore design space according to the threshold of space size. The strategy is proved to be able to find better Pareto-optimal configuration effectively, and at the same time accelerates the speed of the design space exploration compared with sensitivity analysis strategy.

中图分类号: 

• TN402