I’ve written before about how Ansys applies big data analytics and elastic compute in support of power integrity and other types of analysis. A good example of the need follows this reasoning: Advanced designs today require advanced semiconductor processes – 16nm and below. Designs at these processes run at low voltages, much… Read More
On the off-chance you missed my previous pieces on this topic, at these dimensions conventional margin-based analysis becomes unreasonably pessimistic and it is necessary to analyze multiple dimensions together. People who build aircraft engines, turbines and other complex systems have known this for quite a long time. You… Read More
Verification as an effectively unbounded problem will always stir debate on ways to improve. A natural response is to put heavy emphasis on making existing methods faster and more seamless. That’s certainly part of continuous improvement but sometimes we also need to step back and ask the bigger questions – what is sufficient … Read More
A few years ago, I started looking at data visualization methods as a way to make sense of large quantities of complex data. This is a technique that has become very popular in big data analytics where it is effectively impossible to see patterns in data in any other way. There are vast numbers of different types of diagram – treemap,… Read More
A year ago, I wrote about Ansys’ intro of Big Data methods into the world of power integrity analysis. The motivation behind this advance was introduced in another blog, questioning how far margin-based approaches to complex multi-dimensional analyses could go. An accurate analysis of power integrity in a complex chip should… Read More
Two-factor authentication has become commonplace for those of us determined to keep the bad guys at bay. You first request entry to a privileged site through a user-name/password, which in turn sends a code to your mobile device that you must enter to complete your admission to the site (there are other second factor methods, but… Read More
Given a chance to talk with someone as connected as Lip-Bu Tan (President and CEO of Cadence and Chairman of the VC firm Walden International), it is tempting to ask all the usual questions about industry growth and directions in cloud, automotive, IIoT, AI and so on. I wanted to try something different. If you make a living (or plan… Read More
I have been writing about big data for over three years now. In all that I wrote and many articles that I read, there is an underlying assumption that people naturally accept the huge economic value associated with big data. It turns out that this is a bad assumption. They don’t!
There are many people that see big data as worthless… Read More
There’s always a lot of activity in EDA to innovate and refine specialized algorithms in functional modeling, implementation, verification and many other aspects of design automation. But when Google, Facebook, Amazon, IBM and Microsoft are pushing AI, deep learning, Big Data and cloud technologies, it can be hard not to see… Read More
Watching a spirited debate on Twitter this morning between Tom Peters and some of his followers reminded me of the plot of many spy movies: silently killing an opponent with a lethal injection of some exotic, undetectable poison. We are building in enormous risks in more and more big data systems.… Read More
