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Courage Under Fire Drill

Surviving Interruptions

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featured blogs
Jun 6, 2023
At this year's DesignCon, Meta held a session on '˜PowerTree-Based PDN Analysis, Correlation, and Signoff for MR/AR Systems.' Presented by Kundan Chand and Grace Yu from Meta, they talked about power integrity (PI) analysis using Sigrity Aurora and Power Integrity tools such...
Jun 2, 2023
I just heard something that really gave me pause for thought -- the fact that everyone experiences two forms of death (given a choice, I'd rather not experience even one)....
Jun 2, 2023
Explore the importance of big data analytics in the semiconductor manufacturing process, as chip designers pull insights from throughout the silicon lifecycle. The post Demanding Chip Complexity and Manufacturing Requirements Call for Data Analytics appeared first on New Hor...

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Shift-left with Power Emulation Using Real Workloads

Sponsored by Synopsys

Increasing software content and larger chips are demanding pre-silicon power for real-life workloads. Synopsys profile, analyze, and signoff emulation power steps to identify and analyze interesting stimulus from seconds of silicon runtime are discussed.

Learn more about Synopsys’ Energy-Efficient SoCs Solutions

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EC Solver Tech Brief

Sponsored by Cadence Design Systems

The Cadence® Celsius™ EC Solver supports electronics system designers in managing the most challenging thermal/electronic cooling problems quickly and accurately. By utilizing a powerful computational engine and meshing technology, designers can model and analyze the fluid flow and heat transfer of even the most complex electronic system and ensure the electronic cooling system is reliable.

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Machine Learning at the Edge: Applications and Challenges
Machine learning at the TinyEdge is the way of the future but how we incorporate machine learning into our designs can take a variety of different forms. In this episode of Chalk Talk, Amelia chats with Dan Kozin from Silicon Labs about how you can add machine learning to your next design. They investigate what machine learning workflows look like, what machine learning tools you can utilize and the key challenges you will encounter as a machine learning developer.
Oct 20, 2022
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