考虑复杂最小植入面积约束的混合细胞高度详细放置

Yen-Yi Wu, Yao-Wen Chang
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引用次数: 22

摘要

混合单元高度电路已在先进技术中盛行,以满足各种设计需求。随着器件的缩放,复杂的最小植入面积(MIA)限制成为现代电路设计中的一个新挑战,增加了混合单元高度放置的困难。现有的带有单行高度标准单元的MIA感知详细布局不足以用于混合单元高度设计:(1)填充插入,通常用于解决MIA违规,可能会产生难以承受的面积和无线开销;(2)混合高度单元扰动可能会导致严重的行间MIA违规。本文提出了考虑行内和行间MIA约束的混合单元高度详细布局问题的第一个工作。我们首先通过聚集违反相同阈值电压的混合高度单元来修复行内违规,然后通过对特殊情况应用有效的最优动态规划算法和对一般情况应用算法DLX来扰动每个集群以获得所需的单元排列,其中混合单元高度重塑问题可以实现可证明的恒定性能比。在基于网络流的配方中,剩余的违规单元被放置在适当的填充插入位置,以修复违规单元并最小化面积。在进行混合细胞高度的详细放置后,我们最终通过最小位移移动违规细胞来修复行间违规。实验结果表明,该算法能够在合理的运行时间内以最小的HPWL和面积开销解决所有MIA违规问题。
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Mixed-cell-height detailed placement considering complex minimum-implant-area constraints
Mixed-cell-height circuits have prevailed in advanced technology to address various design needs. Along with device scaling, complex minimum-implant-area (MIA) constraints arise as an emerging challenge in modern circuit designs, adding to the difficulties in mixed-cell-height placement. Existing MIA-aware detailed placement with single-row-height standard cells is insufficient for mixed-cell-height designs: (1) filler insertion, typically used to resolve MIA violations, might incur unaffordable area and wirelength overheads, and (2) mixed-height cell perturbation could cause severe inter-row MIA violations. This paper presents the first work to address the mixed-cell-height detailed placement problem considering both intra- and inter-row MIA constraints. We first fix intra-row violations by clustering violating mixed-height cells of the same threshold voltage, and then perturb each cluster to obtain a desired cell permutation by applying an efficient, optimal dynamic-programming-based algorithm for a special case and Algorithm DLX for general ones, where a provably constant performance ratio for a mixed-cell-height reshaping problem can be achieved. With a network-flow-based formulation, remaining violating cells are placed in appropriate filler-insertion positions to fix cell violations and minimize area. After performing mixed-cell-height detailed placement, we finally fix inter-row violations by shifting violating cells in minimum displacement. Compared with a filler insertion method and a greedy clustering approach, experimental results show that our proposed algorithm can resolve all MIA violations with smallest HPWL and area overheads in reasonable running time.
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