An Augmented Lagrangian Method for VLSI Global Placement Optimization
首发时间:2013-01-05
Abstract:Ignoring some cell overlaps, global placement computes the bestposition for each cell to minimize some cost metric (e.g., totalwirelength, density overflow). It is a crucial step in very largescale integration(VLSI) physical design, since it affectsroutability, performance, and power consumption of a circuit. Inthis paper, we propose an Augmented Lagrangian method to solve theVLSI global placement. In this method, a cautiousdynamic density weight increasing strategy is used to balance thewirelength and density constraint. We incorporated our method intoNTUplace3's global placement framework,and tested it on the IBM mixed-size benchmark circuits.Experimental results show that it obtains high-quality results in areasonable running time.
keywords: nonlinear optimization VLSI global placement augmented lagrangian method
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全局布局优化的一种增广拉格朗日方法
摘要:如果忽略单元重叠,全局布局要计算出单元的最佳位置以最优化特定度量标准(如,线长, 密度溢出)。全局布局影响到一个电路芯片的可布线性, 性能, 能耗等,是大规模集成电路物理设计的一个关键环节。本文提出了一种增广拉格朗日方法来优化集成电路全局布局问题。该方法采用了动态的密度惩罚因子放大策略来平衡线长与单元密度。将此方法与NTUplace3的全局布局框架结合,并在IBM的混合单元测试例子进行试验。结果表明该方法能在合理时间内得到质量更好的布局。
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