Traditionally, EDA has been a brute force methodology where we buy more software licenses and more CPUs and keep running endless jobs to keep up with the increasing design and process complexities. SPICE simulation for example; when I meet chip designers (which I do quite frequently) I ask them how many simulations they do for a … Read More
Tag: ting ku
Machine Learning in EDA Flows – Solido DAC Panel
At DAC this year you could learn a lot about hardware design for AI or Machine Learning (ML) applications. We are all familiar with the massively parallel hardware being developed for autonomous vehicles, cloud computing, search engines and the like. This includes, for instance, hardware from Nvidia and others that enable ML … Read More
EDA Powered by Machine Learning panel, 1-on-1 demos, and more!
DAC is upon us again! The Design Automation Conference holds special meaning to me as it was the first technical conference I attended as a semiconductor professional, or professional anything for that matter. That was 33 years ago and I have not missed one since. This year my wife and I both will be walking the DAC floor and it would… Read More