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Technology Access Discriminates


I try not to get on a soap box in my blogs, but I hope you will allow me to express a concern that I see building and the projection of an unintended outcome. I am talking about who does and does not have access to technology. Over time, this divide can cause a further division based on geography, income level, or some other factor. The ramifications of it are not realized until it is too late.... » read more

Stuck In A Rut


In the DVCon panel session about open-source verification, the first part of which has been published along with this blog, you will read about a fiery debate between the panelists. This is regarding the ability of the EDA industry to innovate. On one side is the accusation that there has been no real innovation since 1988. On the other side, there have been fantastic advances have been made th... » read more

The Single Greatest Opportunity For Open Source


Next week, I will be moderating a panel at the virtual DVCon on the subject of open-source verification. I thought it would be good to advertise the event on LinkedIn to see if anyone wanted to send me well-structured questions for the panelists. What happened surprised me a little because the discussions almost exclusively went to the need for open-source verification tools. In my opinion, the... » read more

Von Neumann Upset


My recent article about the von Neumann architecture received some quite passionate responses, including one that thought I was attempting to slight the person. That was most certainly not the intent, given that the invention enabled a period of very rapid advancement in computers and technology in general. The process of invention and engineering are both quite similar and yet different. In... » read more

The Crazy Evolution Of Earbuds


Good ideas have a way of continually evolving. Hindsight is wonderful. We can look back over past inventions and proclaim the ones that were successful to be obvious, and those that weren’t as being stupid or flawed. Many successful inventions started off being flawed, but through demand and perseverance, those flaws were eliminated. At the time, I am sure most people thought Da Vinci was ... » read more

What Interested You In 2020


In business you are always told to follow the money, but for us it is more important to follow the readership. If we are not writing what you want to read, then we are missing the mark. I like to review the ones that have garnered the most attention, in part to see if that will influence what I write about for 2021, but also to find out where the industry is looking for the most help. As Sem... » read more

Chinese EDA


If you saw this headline and thought you missed a press release, don't panic. China has not, at this point, announced to the world that it has a suite of EDA tools ready to roll. The rest of the world is content to look at the substandard attempts it have made so far and write them off as not being capable of developing competitive EDA software. But in all likelihood, given the current politica... » read more

Optimizing What Exactly?


You can't optimize something without understanding it. While we inherently understand what this means, we are often too busy implementing something to stop and think about it. Some people may not even be sure what it is that they should be optimizing and that makes it very difficult to know if you have been successful. This was a key message delivered by Professor David Patterson at the Embedde... » read more

Confusion Persists In Verification Terms


I find it amazing that an area of technology that attempts to show, beyond a reasonable doubt, that a design will work before it is constructed can be so bad at getting some basic things right. I am talking about verification terminology. I have been in this industry for over 40 years and it is not improving. In fact, it is getting worse. The number of calls I have with people where they hav... » read more

Engineering Within Constraints


One of the themes of DAC this year was the next phase of machine learning. It is as if CNNs and RNNs officially have migrated from the research community and all that is left now is optimization. The academics need something new. Quite correctly, they have identified power as the biggest problem associated with learning and inferencing today, and a large part of that problem is associated with ... » read more

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