Automated, inter-macro channel space adjustment and optimization for faster design closure

Praveen Kumar, Alexander Fell, Sachin Mathur
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引用次数: 1

Abstract

Achieving optimal floor-plans during the physical synthesis flow is an iterative and resource intensive process and its quality has a significant impact on subsequent synthesis stages in terms of runtime and quality of results. This problem intensifies due the abundance of macros in advance technology nodes which poses challenges in the physical design flow, especially in the floor-plan stage. It has resulted in an excessive number of channels among macros that need to be spaced carefully and optimized as they consume placement and routing resources. The work presented here is two-fold: First, a tool is introduced for automatic channel space adjustment. Second, the impact of channel space minimization on the quality of results along with runtimes are investigated. Experimental results for two complex partitions of a taped out design, Design-A and Design-B, each with 3M instances including 225 and 205 macros respectively, are presented. The results indicate an existence of an optimum channel spacing in which a 35% and 124% reduction in turn-around-time is observed with same or better quality of results, when compared to the taped out version of the same.
自动,宏间通道空间调整和优化,更快的设计关闭
在物理合成流程中实现最佳平面图是一个迭代和资源密集的过程,其质量在运行时间和结果质量方面对后续合成阶段具有重大影响。由于先进的技术节点中大量的宏,这对物理设计流程,特别是在平面规划阶段提出了挑战,从而加剧了这一问题。这导致宏之间的通道数量过多,需要仔细间隔并优化,因为它们消耗放置和路由资源。这里介绍的工作有两个方面:首先,引入了一个自动通道空间调整的工具。其次,研究了通道空间最小化对结果质量和运行时间的影响。给出了设计a和设计b两种带式设计的复杂分区的实验结果,每个分区有3M实例,分别包含225和205个宏。结果表明,存在一个最佳的通道间距,在相同的结果质量相同或更好的情况下,可以观察到35%和124%的周转时间减少。
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