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High-Performance Natural Language Processing (NLP) in Constrained Embedded Systems

High-Performance Natural Language Processing (NLP) in Constrained Embedded Systems
by Kalar Rajendiran on 11-30-2021 at 6:00 am

Demonstrator Block Diagram

Current technology news is filled with talk of many edge applications moving processing from the cloud to the edge. One of the presentations at the recently concluded Linley Group Fall Processor Conference was about AI moving from the cloud to the edge. Rightly so, there were several sessions dedicated to discussing AI and edge… Read More


Synopsys Expands into Silicon Lifecycle Management

Synopsys Expands into Silicon Lifecycle Management
by Daniel Payne on 11-18-2021 at 10:00 am

SLM, Synopsys

I spoke with Steve Pateras of Synopsys last week to better understand what was happening with their Silicon Lifecycle Management vision, and I was reminded of a Forbes article from last year: Never Heard of Silicon Lifecycle Management? Join the Club. At least two major EDA vendors are now using the relatively new acronym SLM, and… Read More


CDC for MBIST: Who Knew?

CDC for MBIST: Who Knew?
by Bernard Murphy on 11-09-2021 at 6:00 am

CDC for MBIST

Now and again, I enjoy circling back to a topic on which I spent a good deal of time back in my Atrenta days – clock domain crossing analysis (CDC). This is an area that still has opportunity to surprise me at least, in this case looking at CDC analysis around MBIST logic. CDC for MBIST might seem strange. Isn’t everything in test mode synchronous… Read More


Lecture Series: Designing a Time Interleaved ADC for 5G Automotive Applications

Lecture Series: Designing a Time Interleaved ADC for 5G Automotive Applications
by Kalar Rajendiran on 11-01-2021 at 6:00 am

Slide AMS Lecture Series Snapshot

A recent educational virtual event with the above title was jointly sponsored by Synopsys and Global Foundries. The objective was to bring awareness to state-of-the-art mixed-signal design practices for automotive circuits. The 2-day event comprised of lectures delivered by engineering professors and doctoral students… Read More


AI and ML for Sanity Regressions

AI and ML for Sanity Regressions
by Bernard Murphy on 10-13-2021 at 6:00 am

machine learning for regressions min

You probably know the value proposition for using AI and ML (machine learning) in simulation regressions. There are lots of knobs you can tweak on a simulator, all there to help you squeeze more seconds, or minutes out of a run. If you know how to use those options. But often it’s easier to talk to your friendly AE, get a reasonable default… Read More


IBM and HPE Keynotes at Synopsys Verification Day

IBM and HPE Keynotes at Synopsys Verification Day
by Bernard Murphy on 10-06-2021 at 6:00 am

Synopsys Verification Day 2021 View Ondemand min

I have attended several past Synopsys verification events which I remember as engineering conference room, all-engineer pitches and debates. Effective but aiming for content rather than polish. This year’s event was different. First it was virtual, like most events these days, which certainly made the whole event feel more… Read More


Reliability Analysis for Mission-Critical IC design

Reliability Analysis for Mission-Critical IC design
by Daniel Payne on 09-13-2021 at 10:00 am

reliability analysis min

Mission-critical IC design for segments like automotive, aerospace, defense, medical and 5G have more stringent reliability analysis requirements than consumer electronics, and entails running special simulations for the following concerns:

  • Electromigration analysis
  • IR drop analysis
  • MOS aging
  • High-sigma Monte Carlo
Read More

Why Optimizing 3DIC Designs Calls for a New Approach

Why Optimizing 3DIC Designs Calls for a New Approach
by Synopsys Editorial on 09-02-2021 at 10:00 am

IC design engineering 3DIC 1024x615 1

The adoption of 3DIC architectures, while not new, is enjoying a surge in popularity as product developers look to their inherent advantages in performance, cost, and the ability to combine heterogeneous technologies and nodes into a single package. As designers struggle to find ways to scale with complexity and density limitations… Read More


Using Machine Learning to Improve EDA Tool Flow Results

Using Machine Learning to Improve EDA Tool Flow Results
by Daniel Payne on 08-25-2021 at 10:00 am

gajski kuhn

Back in 2020 I first learned from Synopsys about how they had engineered a better way to do optimize layouts on digital designs by using machine learning techniques, instead of relying upon manual approaches. The product was named DSO.ai, standing for Design Space Optimization, and it produced a more optimal floor-plan in less… Read More


How Hyperscalers Are Changing the Ethernet Landscape

How Hyperscalers Are Changing the Ethernet Landscape
by Synopsys Editorial on 08-17-2021 at 6:00 am

How Hyperscalers Are Changing the Ethernet Landscape

It’s all about bandwidth these days – fueling hyperscale data centers that support high-performance and cloud computing applications. It’s what enables you to stream a movie on your smart TV while your roommate plays an online game with friends located in different parts of the country. It’s what makes big data analytics run swiftly… Read More