Timing-driven optimization is imperative for the success of closure flows. The optimization engine applies changes to the design and estimates circuit delays quickly and accurately to improve timing, area, and power performance. This procedure is inherently complex and computationally challenging.
Do you want to find your answers too? Enroll in the upcoming webinar on “Distributed timing analysis” with Tsung-Wei, do labs on your own, understand the framework and I can guarantee you would be a better STA engineer or Lead than you were before 26th May.
There are multiple places, we can introduce distributed computing to timing and major motivation is to speed up the timing closure. We have to analyze timing under different range of conditions, typically quantified as modes (test mode, functional mode) and corner (PVT). The number of combinations (timing views) you have to run is typically increasing exponentially with lower nodes. That’s where you need to need to distribute timing analysis across different machines.
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