Presentation
IR-Drop Aware Global Placement with PDN Optimization and GPU-Accelerated Analysis for Mitigating Global and Local IR-Drop
DescriptionThis paper presents an analytical global placement framework that concurrently integrates PDN optimization, effectively addressing both global and local IR-drop challenges. To enable accurate and efficient voltage drop estimation, we implement a fast, GPU-accelerated IR-drop analysis engine based on Modified Nodal Analysis (MNA). For PDN optimization, we introduce an iterative strategy that enhances power delivery robustness by inserting additional power delivery paths to reduce global IR-drop. To further address localized IR-drop issues, we propose a novel density control mechanism that constrains cell placement based on the maximum tolerable power load at each PDN node, as determined by IR-drop severity. Experimental results show that the proposed methodology significantly reduces IR-drop violations without incurring additional wirelength, runtime, or routability overhead compared to state-of-the-art IR-drop-aware placement techniques.
Event Type
Research Manuscript
TimeWednesday, July 295:18pm - 5:30pm PDT
LocationMtg Room 202AB