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Predicting Bugs: ML and Static Team Up. Innovation in Verification

Predicting Bugs: ML and Static Team Up. Innovation in Verification
by Bernard Murphy on 06-11-2020 at 6:00 am

innovation

Can we predict where bugs are most likely to be found, to better direct testing? Paul Cunningham (GM of Verification at Cadence), Jim Hogan and I continue our series on novel research ideas, again through a paper in software verification we find equally relevant to hardware. Feel free to comment if you agree or disagree.

The InnovationRead More


Is Mutation Testing Worth the Effort? Innovation in Verification

Is Mutation Testing Worth the Effort? Innovation in Verification
by Bernard Murphy on 05-19-2020 at 6:00 am

innovation

Mutation testing is an intriguing idea, but is it useful? Paul Cunningham (GM of Verification at Cadence), Jim Hogan and I continue our series on novel research ideas, here looking at a paper examining the pros and cons of this topic. Feel free to comment if you agree or disagree.

The Innovation

This month’s pick is Which Software Read More


Cadence – Redefining EDA Through Computational Software

Cadence – Redefining EDA Through Computational Software
by Mike Gianfagna on 05-12-2020 at 10:00 am

Screen Shot 2020 05 09 at 6.52.49 PM

Based on what I’m seeing, I believe Cadence is looking at the world a bit differently these days. I first reported about their approach to machine learning for EDA in March, and then there was their white paper about Intelligent System Design in April. It’s now May, and Cadence is shaking things up again with a new white paper entitled… Read More


Cadence – Defining a Roadmap to the Future

Cadence – Defining a Roadmap to the Future
by Mike Gianfagna on 04-16-2020 at 10:00 am

Screen Shot 2020 04 08 at 7.46.46 PM

Cadence recently published a position paper that details a set of enabling technologies that will be needed for product design going forward. Entitled Intelligent System Design, the piece describes the changing landscape of system design and the requirements for success. Cadence has built a branded approach to address these… Read More


Innovation in Verification April 2020

Innovation in Verification April 2020
by Bernard Murphy on 04-14-2020 at 6:00 am

Innovation

This blog is the next in a series in which Paul Cunningham (GM of the Verification Group at Cadence), Jim Hogan and I pick a paper on a novel idea we appreciated and suggest opportunities to further build on that idea.

We’re getting a lot of hits on these blogs but would like really like to get feedback also.

The Innovation

Our next pick… Read More


Webinar: Design Methodologies for Next-Generation Heterogeneously Integrated 2.5/3D-IC Designs

Webinar: Design Methodologies for Next-Generation Heterogeneously Integrated 2.5/3D-IC Designs
by Herb Reiter on 04-10-2020 at 6:00 am

2d 3d Semiconductor Packaging SemiWiki Cadence

I had the opportunity to preview the upcoming SemiWiki webinar titled: Design Methodologies for Next-Generation Heterogeneously Integrated 2.5/3D-IC Designs. John Park’s message, describing this powerful Cadence solution, really impressed me. That’s why I want to encourage you to register for it and join this SemiWiki … Read More


Cadence Digital Full Flow Optimized to Deliver Improved Quality of Results with Up to 3X Faster Throughput

Cadence Digital Full Flow Optimized to Deliver Improved Quality of Results with Up to 3X Faster Throughput
by Mike Gianfagna on 03-23-2020 at 6:00 am

FINAL2 Digital FF iSpatial Flow hi res

Artificial intelligence (AI) and machine learning (ML) are hot topics. Beyond the impact these technologies are having on the world around us, they are also having impact on the semiconductor and EDA ecosystem. I posted a blog last week that discussed how Cadence views AI/ML, both from a tool and ecosystem perspective. The is one… Read More


Machine Learning for EDA – Inside, Outside and Everywhere Else

Machine Learning for EDA – Inside, Outside and Everywhere Else
by Mike Gianfagna on 03-18-2020 at 6:00 am

Paul Cunningham

Artificial intelligence (AI) is everywhere. The rise of the machines is upon us in case you haven’t noticed. Machine learning (ML) and its associated inference abilities promise to revolutionize everything from driving your car to making breakfast. We hear a lot about the macro, end-product impact of this technology, but there… Read More


Designing Next Generation Memory Interfaces: Modeling, Analysis, and Tips

Designing Next Generation Memory Interfaces: Modeling, Analysis, and Tips
by Mike Gianfagna on 03-04-2020 at 10:00 am

IBIS AMI vs. Transient

At DesignCon 2020, there was a presentation by Micron, Socionext and Cadence that discussed design challenges and strategies for using the new low-power DDR specification (LPDDR5). As is the case with many presentations at DesignCon, ecosystem collaboration was emphasized. Justin Butterfield (senior engineer at Micron)… Read More


Bridging the Gap Between Design and Analysis

Bridging the Gap Between Design and Analysis
by Mike Gianfagna on 02-20-2020 at 6:00 am

PCB design challenges

At the recent DesignCon 2020 in Santa Clara, Cadence introduced a new product, Sigrity Aurora. You won’t find a press release about this announcement. Rather, Brad Griffin, product management group director at Cadence, presented Sigrity Aurora in the theater at the Cadence booth. This one caught my eye and deserves some discussion.… Read More