Random walk-based solvers can provide accurate parasitic extraction for sophisticated use models, allowing design teams to improve processing performance.
In-design verification is opening new opportunities to shorten design cycles and maximize circuit performance. Whereas physical verification has traditionally required a tradeoff between accuracy and performance for larger designs, recent advances in large-scale distributed computing may offer an alternative. Cloud infrastructure needs are pushing the industry toward larger multi-core server architectures and massively parallel computing frameworks. To address the larger designs necessary for today’s market, massively parallel computing frameworks and in-design-based parallel extraction, enabled through tools such as Cadence Virtuoso Layout Suite for Electrically Aware Design (EAD), will allow random walk-based solvers to provide accurate parasitic extraction to support more sophisticated use models and enable better optimization and faster processing.
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