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Floorplan-guided placement for large-scale mixed-size designs

机译:适用于大型混合尺寸设计的平面图引导放置

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摘要

In the nanometer scale era, placement has become an extremely challenging stage in modern Very-Large-Scale Integration (VLSI) designs. Millions of objects need to be placed legally within a chip region, while both the interconnection and object distribution have to be optimized simultaneously. Due to the extensive use of Intellectual Property (IP) and embedded memory blocks, a design usually contains tens or even hundreds of big macros. A design with big movable macros and numerous standard cells is known as mixed-size design. Due to the big size difference between big macros and standard cells, the placement of mixed-size designs is much more difficult than the standard-cell placement.This work presents an efficient and high-quality placement tool to handle modern large-scale mixed-size designs. This tool is developed based on a new placement algorithm flow. The main idea is to use the fixed-outline floorplanning algorithm to guide the state-of-the-art analytical placer. This new flow consists of four steps: 1) The objects in the original netlist are clustered into blocks; 2) Floorplanning is performed on the blocks; 3) The blocks are shifted within the chip region to further optimize the wirelength; 4) With big macro locations fixed, incremental placement is applied to place the remaining objects. Several key techniques are proposed to be used in the first two steps. These techniques are mainly focused on the following two aspects: 1) Hypergraph clustering algorithm that can cut down the original problem size without loss of placement Quality of Results (QoR); 2) Fixed-outline floorplanning algorithm that can provide a good guidance to the analytical placer at the global level.The effectiveness of each key technique is demonstrated by promising experimental results compared with the state-of-the-art algorithms. Moreover, using the industrial mixed-size designs, the new placement tool shows better performance than other existing approaches.
机译:在纳米级时代,布局已成为现代超大规模集成(VLSI)设计中极富挑战性的阶段。数以百万计的对象需要合法地放置在芯片区域内,而互连和对象分布都必须同时进行优化。由于知识产权(IP)和嵌入式存储模块的广泛使用,一个设计通常包含数十个甚至数百个大宏。具有大的可移动宏和许多标准单元的设计被称为混合尺寸设计。由于大型宏和标准单元之间的尺寸差异很大,因此混合尺寸设计的放置要比标准单元的放置困难得多。这项工作提出了一种有效且高质量的放置工具,可以处理现代的大型混合单元。尺寸设计。该工具是根据新的放置算法流程开发的。主要思想是使用固定轮廓的布局规划算法来指导最新的分析布局。这个新流程包括四个步骤:1)将原始网表中的对象聚集成块。 2)在区块上进行布局规划; 3)块在芯片区域内移动以进一步优化线长; 4)在固定大宏位置的情况下,将应用增量放置来放置其余对象。建议在前两个步骤中使用几种关键技术。这些技术主要集中在以下两个方面:1)超图聚类算法,可以减少原始问题的大小,而不会降低位置结果的质量(QoR); 2)固定轮廓布局规划算法可以为全球的分析布局提供良好的指导。与最先进的算法相比,有希望的实验结果证明了每种关键技术的有效性。此外,使用工业混合尺寸设计,新的放置工具显示出比其他现有方法更好的性能。

著录项

  • 作者

    Yan, Zijun;

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  • 年度 2011
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  • 原文格式 PDF
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