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Dose Map and Placement Co-Optimization for Improved Timing Yield and Leakage Power

机译:剂量图和布局协同优化,以提高时序良率和泄漏功率

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In sub-100 nm CMOS processes, delay and leakage power reduction continue to be among the most critical design concerns. We propose to exploit the recent availability of fine-grain exposure dose control in the step-and-scan tool to achieve both design-time (placement) and manufacturing-time (yield-aware dose mapping) optimizations of timing yield and leakage power. Our placement and dose map co-optimization can improve both timing yield and leakage power of a given design. We formulate the placement-aware dose map optimization as quadratic and quadratic constraint programs which are solved using efficient quadratic program solvers. In this paper, we mainly focus on the placement-aware dose map optimization problem; in Appendix, we describe a complementary but less impactful dose map-aware placement optimization based on an efficient cell swapping heuristic. Experimental results show noticeable improvements in minimum cycle time without leakage power increase, or in leakage power reduction without degradation of circuit performance.
机译:在低于100 nm的CMOS工艺中,延迟和泄漏功率的降低仍然是最关键的设计问题。我们建议在步进扫描工具中利用最新的细颗粒暴露剂量控制功能,以实现定时良率和泄漏功率的设计时间(放置)和制造时间(良品率剂量映射)优化。我们的布局和剂量图协同优化可以改善给定设计的时序产量和泄漏功率。我们将位置感知剂量图优化公式化为二次和二次约束程​​序,这些程序使用有效的二次程序求解器进行求解。在本文中,我们主要集中在可识别位置的剂量图优化问题上。在附录中,我们描述了基于有效单元交换启发式算法的互补但影响较小的剂量图感知布局优化。实验结果表明,在不增加泄漏功率的情况下,最小周期时间有了显着改善,或者在不降低电路性能的情况下,降低了泄漏功率。

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