FastPlace 3.0:一种具有布局拥塞控制的快速多级二次布局算法

Natarajan Viswanathan, Min Pan, C. Chu
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引用次数: 175

摘要

在本文中,我们提出了FastPlace 3.0 -一种高效且可扩展的多级二次布局算法,用于大规模混合尺寸设计。我们工作的主要贡献是:(1)一个多层次的全局放置框架,通过在平面分析放砂机FastPlace (Viswanathan和Chu, 2005)和Viswanathan等人,2006)中合并一个两级聚类方案,(2)一个有效和改进的迭代局部细化技术,可以处理放置阻塞和放置拥塞约束。(3)阻塞存在时的拥塞感知标准单元合法化技术。在ISPD-2005放置基准测试(Nam et al., 2005)上,我们的算法分别比mPL6、Capo10.2和APlace2.0快5.12倍、11.52倍和16.92倍。在带宽方面,我们平均比mPL6高2%,比Capo10.2和APlace2.0分别好9%和3%。在安置拥挤受限的ISPD-2006安置基准上,我们也取得了具有竞争力的结果(Nam, 2006)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FastPlace 3.0: A Fast Multilevel Quadratic Placement Algorithm with Placement Congestion Control
In this paper, we present FastPlace 3.0 - an efficient and scalable multilevel quadratic placement algorithm for large-scale mixed-size designs. The main contributions of our work are: (1) A multilevel global placement framework, by incorporating a two-level clustering scheme within the flat analytical placer FastPlace (Viswanathan and Chu, 2005) and Viswanathan et al., 2006), (2) An efficient and improved iterative local refinement technique that can handle placement blockages and placement congestion constraints. (3) A congestion aware standard-cell legalization technique in the presence of blockages. On the ISPD-2005 placement benchmarks (Nam et al., 2005), our algorithm is 5.12times, 11.52times and 16.92times faster than mPL6, Capo10.2 and APlace2.0 respectively. In terms of wirelength, we are on average, 2% higher as compared to mPL6 and 9% and 3% better as compared to Capo10.2 and APlace2.0 respectively. We also achieve competitive results compared to a number of academic placers on the placement congestion constrained ISPD-2006 placement benchmarks (Nam, 2006).
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