Structure-aware placement for datapath-intensive circuit designs
Structure-aware placement for datapath-intensive circuit designs
复制标题
数据路径密集型电路设计的结构感知布局
DOI：
10.1145/2228360.2228498
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Yao
中科院分区：
文献类型：
--
作者：
Sheng Chou;Meng;Yao
数据路径是微处理器等高性能电路设计中最重要的组件之一，因为它用于操作所有数据。为了获得更好的性能，数据路径通常以高度规则性和紧凑性放置。虽然单元格布局已经被广泛研究，但没有太多的工作涉及通常被视为大宏的数据路径的优化。在本文中，我们提出了一种结构感知的布局算法，可以利用数据路径电路的规则结构，同时利用有效的技术，以实现高质量和可扩展性。我们的算法适用于线长最小化的非线性优化和基于sigmoid的密度模型的密度控制在数据路径电路。与现有算法相比，该算法能够有效地获得最佳的结构感知布局结果。
Datapath is one of the most important components in high performance circuit designs, such as microprocessors, as it is used to manipulate all data. For better performance, a datapath is usually placed with high regularity and compactness. Although cell placement has been studied extensively, not much work addresses the optimization of datapaths which are often treated as big macros. In this paper, we propose a structure-aware placement algorithm that can exploit the regular structures of datapath circuits and meanwhile leverage effective techniques to achieve high quality and scalability. Our algorithm applies a nonlinear optimization for wirelength minimization and a sigmoid based density model for density control in datapath circuits. Compared with state-of-the-art works, our algorithm can achieve the best structure-aware placement results efficiently.