Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More
There has been a lot written about artificial intelligence/machine learning (AI/ML) and its application in the Cadence digital design flow. Most recently, I covered significant verification efficiency improvements in Xcellium ML. A recent digital-themed white paper from Cadence takes a broader look at the impact of ML on… Read More
Tue, Mar 31, 2020 11:00 AM – 12:00 PM MDT
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As we move towards advanced nodes where supply voltage reduces and transistors shrink in size, reliability challenges increase significantly. Designers see more IR drop and power integrity issues, and we… Read More
I’m on a mini-roll on the subject of high-level design for ML-based systems. No complaints from me, this is one of my favorite domains and is certainly a hot area; it’s great to that EDA vendors are so active in advancing ML-based design. Here I want to talk about the Catapult HLS flow for use in ML design.
Since I’ve covered the ML topic… Read More
Want to know how NVIDIA signs off on power integrity and reliability on mega-chips? Read on.
PPA over-design has repercussions in increased product cost and potential missed schedules with no guarantee of product success. Advanced SoCs pack more functionality and performance resulting in higher power density, but traditional… Read More
To paraphrase an Austen line, it is a truth universally acknowledged that implementation, power intent and design hierarchy don’t always align very well. Hierarchy is an artifact of legacy structure, reuse and division of labor, perhaps well-structured piecewise for other designs but not necessarily so for the design you now… Read More
