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An update on the Design Productivity Gap

An update on the Design Productivity Gap
by Tom Dillinger on 08-03-2018 at 12:00 pm

Over a decade ago, a group of semiconductor industry experts published a landmark paper as part of the periodic updates to the International Technology Roadmap for Semiconductors, or ITRS for short (link). The ITRS identified a critical design productivity gap. The circuit capacity afforded by the Moore’s Law pace of technology… Read More


Verification Importance in Academia

Verification Importance in Academia
by Alex Tan on 07-31-2018 at 12:00 pm

“Testing can only prove the presence of bugs, not their absence,” stated the famous computer scientist Edsger Dijkstra. That notion rings true to the many college participants of the Hack@DAC competition offered during DAC 2018 in San Francisco. The goal of this competition is to develop tools and methods for identifying security… Read More


Cadence Selected to Support Major DARPA Program

Cadence Selected to Support Major DARPA Program
by Bernard Murphy on 07-26-2018 at 7:00 am

When DARPA plans programs, they’re known for going big – really big. Which is what they are doing again with their Electronics Resurgence Initiative (ERI). Abstracting from their intro, this is a program “to ensure far-reaching improvements in electronics performance well beyond the limits of traditional scaling”. This isn’t… Read More


Cadence’s Smarter and Faster Verification in the Era of Machine Learning, AI, and Big Data Analytics Panel

Cadence’s Smarter and Faster Verification in the Era of Machine Learning, AI, and Big Data Analytics Panel
by Camille Kokozaki on 07-11-2018 at 12:00 pm

I attended on Monday, June 25, DAC’s Opening Day, a Cadence-sponsored Lunch panel. Ann Steffora Mutschler (Semiconductor Engineering) was the Moderator and the Panelists were Jim Hogan (Vista Ventures), David Lacey (HP Enterprise), Shigeo Oshima (Toshiba Memory Corp), Paul Cunningham (Cadence).… Read More


Liberate Trio Embraces ML and Cloud

Liberate Trio Embraces ML and Cloud
by Alex Tan on 07-05-2018 at 12:00 pm

A chain is as strong as its weakest link. This phrase resonates well in Static Timing Analysis (STA) domain, though it is about accuracy rather than durability. As timing signoff step provides the final performance readings of a design, an STA outcome is as good as its underlying components. Aside from the parasitic extraction … Read More


Cadence in the Cloud!

Cadence in the Cloud!
by Daniel Nenni on 06-25-2018 at 9:45 am

The first clue was cloud vendors (Amazon, Google, IBM, etc…) at 55DAC for the first time ever with lots of cloud content including a Design on Cloud Pavilion. The second clue was the pre-briefing from Cadence last week. There has also been a lot of cloud chatter in the semiconductor ecosystem so yes, I saw this coming and EDA will get… Read More


Innovation in a Commodity Market

Innovation in a Commodity Market
by Bernard Murphy on 05-29-2018 at 7:00 am

Logic simulation is a victim of its own success. It has been around for at least 40 years, has evolved through multiple language standards and has seen significant advances in performance and major innovations in testbench standards. All that standardization and performance improvement has been great for customers but can present… Read More


Should EDA Follow a Foundry Model?

Should EDA Follow a Foundry Model?
by Daniel Nenni on 05-28-2018 at 7:00 am

There is an interesting discussion in the SemiWiki forum about EDA and the foundry business model which got me to thinking about the next disruptive move for the semiconductor industry. First let’s look at some of the other disruptive EDA events that I experienced firsthand throughout my 30+ year career.

When I started in 1984 EDA… Read More


UBER car accident: Verifying more of the same versus the long-tail cases

UBER car accident: Verifying more of the same versus the long-tail cases
by Moshe Zalcberg on 05-21-2018 at 12:00 pm

The recent fatal accident involving an UBER autonomous car, was reportedly not caused – as initially assumed – by a failure of the many sensors on the car to recognize the cyclist. It was instead caused by a failure of the software to take the right decision in regard to that “object”. The system apparently… Read More