There’s a lot to unpack in the title of this post. First, Siemens EDA is the new name for Mentor, a Siemens Business. The organization continues to operate as part of Siemens Digital Industries Software. The organization has released a white paper that describes research done with the American University of Armenia. The work examines… Read More
In July, I explored the benefits of the new Cadence Tempus™ Power Integrity Solution. In that piece, I explored some of the unique capabilities of this new tool with Brandon Bautz, senior product management group director and Hitendra Divecha, product management director in the Digital & Signoff Group at Cadence. I recently… Read More
This is another installment covering TSMC’s very popular Open Innovation Platform event (OIP), held on August 25. This event presents a diverse and high-impact series of presentations describing how TSMC’s vast ecosystem collaborates with each other and with TSMC. This presentation is from Alchip, presented by James Huang,… Read More
SoC verification has always been an interesting topic for me. Having worked at companies like Zycad that offered hardware accelerators for logic and fault simulation, the concept of reducing the time needed to verify a complex SoC has occupied a lot of my thoughts. The bar we always tried to clear was actually simple to articulate… Read More
DAC was full of great panels, research papers and chip design stories this year, the same as other years. Being a virtual show, there were some differences of course. I’ve heard attendance was way up, allowing a lot more folks to experience the technical program. This is likely to be true for a virtual event. I’m sure we’ll see more… Read More
A few months ago, I wrote about the announcement of a new digital full flow from Cadence. In that piece, I focused on the machine learning (ML) aspects of the new tool. I had covered a discussion with Cadence’s Paul Cunningham a week before that explored ML in Cadence products, so it was timely to dive into a real-world example of the … Read More
There have been a multitude of announcements recently relative to the incorporation of machine learning (ML) methods into EDA tool algorithms, mostly in the physical implementation flows. For example, deterministic ML-based decision algorithms applied to cell placement and signal interconnect routing promise to expedite… Read More
One of the side benefits of working with SemiWiki is that you get to meet a broad range of people and in the semiconductor industry that means a broad range of very smart people, absolutely. Recently I had the pleasure to meet Richard McPartland of Moortec. Richard and I started in the semiconductor industry at the same time but from… Read More
Machine Learning (ML) has become extremely important for many computing applications, especially ones that involve interacting with the physical world. Along with this trend has come the development of many specialized ML processors for cloud and mobile applications. These chips work fine in the cloud or even in cars or phones,… Read More
The use of machine learning (ML) to solve complex problems that could not previously be addressed by traditional computing is expanding at an accelerating rate. Even with advances in neural network design, ML’s efficiency and accuracy are highly dependent on the training process. The methods used for training evolved from CPU… Read More
