Capturing Knowledge Within LLMs


At DAC this year, there was a lot of talk about AI and the impact it is likely to have. While EDA companies have been using it for optimization and improving iteration loops within the flow, the end users have been concentrating on how to use it to improve the user interface between engineers and tools. The feedback is very positive. Large language models (LLMs) have been trained on a huge a... » read more

The Value Of Innovation


This week's Design Automation Conference is all about the new things that are going on in the industry, both challenges and opportunities. By this time this blog goes live, I will have moderated a panel about why EDA has not been open to disruption. While preparing for that, a number of thoughts emerged in my mind. First, we have to remember that EDA is a business whose role is to support th... » read more

DAC Panel Could Spark Fireworks


Panels can often become love fests. While a title may sound controversial, it turns out that everyone quickly finds that all the panelists agree on the major points. This is sometimes the result of how the panel was put together – the proposal came from one company, and they wanted to get their customers or clients onto the panel. They are unlikely to ask a major competitor to be part of the ... » read more

Revitalizing DAC


The 61st Design Automation Conference is just two months away and as I get closer to retirement, I know there will only be a few remaining for me. I entered the EDA industry in 1980, so have been involved with it for almost 45 years. Over that period, I have only missed a few. It is interesting how the conference has changed over the years. In the early days, DAC was only a conference, where... » read more

Career Transitions


Many people change their career path, sometimes to take on new challenges, sometimes following opportunity or money. As we learn, we develop both expertise and skill sets and in many cases expertise in one area has diminished value in another, meaning that it becomes more difficult to switch as we get older. But there are times when both knowledge and skills can be fully transferred, making the... » read more

Design Tool Think Tank Required


When I was in the EDA industry as a technologist, there were three main parts to my role. The first was to tell customers about new technologies being developed and tool extensions that would be appearing in the next release. These were features they might find beneficial both in the projects they were undertaking today, and even more so, would apply to future projects. Second, I would try and ... » read more

Respect? Confused


In a recent story, I talked about how EDA has gained respect in the financial markets, which is something it has failed to do for decades. EDA, in the eyes of Wall Street, had become a plodder through good times and bad, failing to achieve the growth shown by semiconductor companies or foundries, or the rapid rise to glory of other software companies. Of course, it never experienced the same de... » read more

What You Needed To Know In 2023


I always use the last blog of the year to review everything published in the Systems & Design and Low Power – High Performance channels of Semiconductor Engineering, the two channels that I write for. It is useful to see what interests you and, as I have found in the past, it is an indicator of where the industry is going. You read about the issues you are facing as designers, and you nee... » read more

The Good Old Days Of EDA


Nostalgia is wonderful, but there is something about being involved in the formative years of an industry. Few people ever get to experience it, and it was probably one of the most fortuitous events to have happened in my life. Back in the early '80s, little in the way of design automation existed. There were a few gate- and transistor-level simulators, primarily for test and a few 'calculators... » read more

The Limits Of AI-Generated Models


In several recent stories, the subject of models has come up, and one recurrent theme is that AI may be able to help us generate models of a required abstraction. While this may be true in some cases, it is very dangerous in others. If we generalize, AI should be good for any model where the results are predominantly continuous, but discontinuities create problems. Unless those are found and... » read more

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