CSCO：一种用于改进PPA的背侧电源网络感知时钟信号协同优化框架
CSCO: A Backside-PDN-Aware Clock-Signal Co-Optimization Framework for Improved PPA
浏览论文内容
中文总结 AI 辅助
针对背侧电源网络资源分配权衡及信号完整性退化问题，提出CSCO框架，通过数据驱动在时钟与信号网络间联合分配背侧资源，采用高效搜索策略平衡多方面因素，实验表明该框架能在无额外屏蔽开销下改善多项指标。
中文摘要 AI 辅助
背侧电源网络（BSPDN）已成为解决先进逻辑节点中IR降和PPA挑战的一项有前景的技术。虽然BSPDN在背侧引入了额外的路由资源，但这些资源有限，必须在时钟和信号网络之间仔细划分，这就产生了关键的资源分配权衡。先前的工作要么只移动时钟网络，要么假设固定的时钟树并仅优化信号网络，未能探索背侧资源分配的权衡空间。此外，由于缺乏正面电源接地屏蔽，BSPDN会导致严重的信号完整性（SI）退化。我们提出了CSCO，这是一个数据驱动的BSPDN感知协同优化框架，它在正面/背侧层的时钟和信号网络之间联合分配有限的背侧资源。CSCO采用高效搜索策略来识别背侧路由的关键网络，无需重复评估，在时钟信号分配权衡中导航以平衡IR降、路由拥塞和PPA。该框架还利用背侧路由来减轻耦合噪声和串扰引起的SI问题。实验证明，在没有额外屏蔽开销的情况下，WNS/TNS、频率和SI鲁棒性都得到了改善。
英文摘要
Backside power delivery networks (BSPDN) have emerged as a promising technology for advanced logic nodes to address IR-drop and PPA challenges. While BSPDN introduces additional routing resources on the backside, these resources are limited and must be carefully partitioned between clock and signal nets, creating a critical resource allocation tradeoff. Prior work either moves only the clock network or assumes a fixed clock tree and optimizes only signal nets, failing to explore the tradeoff space of backside resource allocation. Moreover, lacking frontside power-ground shielding, BSPDN introduces severe signal integrity (SI) degradation. We propose CSCO, a data-driven BSPDN-aware co-optimization framework that jointly allocates limited backside resources between clock and signal nets across frontside/backside layers. CSCO employs efficient search strategies to identify critical nets for backside routing without repeated evaluation, navigating the clock-signal allocation tradeoff to balance IR-drop, routing congestion, and PPA. The framework also leverages backside routing to mitigate coupling noise and crosstalk-induced SI issues. Experiments demonstrate improved WNS/TNS, frequency, and SI robustness without additional shielding overhead.
