Cadence – AI/ML function verification seminar

Cadence – AI/ML function verification seminar
by Admin on 02-07-2024 at 11:11 pm

As advances in AI technology, such as generative AI, are expanding demand for semiconductors, cutting-edge semiconductor design technology is also incorporating artificial intelligence (AI) and machine learning (ML) technology.

As a pioneer in providing solutions that utilize AI technology in the verification field, Read More


AI and SPICE Circuit Simulation Applications

AI and SPICE Circuit Simulation Applications
by Daniel Payne on 01-24-2024 at 10:00 am

Figure 1 min

Can you name the EDA vendor that first used AI starting 15 years ago for circuit designers using SPICE simulators? I can remember that vendor, it was Solido, now part of Siemens EDA, and I just read their 8 page paper on how they look at the various levels of AI being used in EDA to help IC designers work smarter and faster than using manual… Read More


proteanTecs On-Chip Monitoring and Deep Data Analytics System

proteanTecs On-Chip Monitoring and Deep Data Analytics System
by Kalar Rajendiran on 10-05-2023 at 10:00 am

On chip monitoring and analytics platform

State-of-the-art electronics demand high performance, low power consumption, small footprint and high reliability from their semiconductor products. While this imperative is true across many different market segments, it is critical for applications such as the automotive/autonomous driving and data centers. As electronic… Read More


Webinar: Optimize Your Simulation with Ansys Mechanical and Ansys optiSLang

Webinar: Optimize Your Simulation with Ansys Mechanical and Ansys optiSLang
by Admin on 08-30-2023 at 2:40 pm

Join us for this second episode of the webinar series to learn how Ansys optiSLang connects to best-in-class Ansys Simulation in the mechanical engineering discipline to achieve effective design exploration and optimization. This means optimizing a design with minimal effort thanks to parametric variation analysis and advanced

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Using ML for Statistical Circuit Verification

Using ML for Statistical Circuit Verification
by Daniel Payne on 05-03-2023 at 10:00 am

6 sigma samples statistical circuit

I’ve been following Solido as a start-up EDA vendor since 2005, then they were acquired by Siemens in 2017. At the recent User2User event there was a presentation by Kwonchil Kang, of Samsung Electronics on the topic, ML-enabled Statistical Circuit Verification Methodology using Solido. For high reliability circuits… Read More


CadenceTECHTALK: Find Elusive Bugs Faster with Xcelium ML

CadenceTECHTALK: Find Elusive Bugs Faster with Xcelium ML
by Admin on 01-16-2023 at 2:13 pm

Crack the Verification Double Trouble!

Register for CadenceTECHTALK to find out how to achieve verification closure with the same coverage with up to a 10X reduction in simulation cycles.

Chips are becoming bigger and more complex, adding to already existing verification woes. Design and verification engineers struggle with… Read More


Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor

Quadric’s Chimera GPNPU IP Blends NPU and DSP to Create a New Category of Hybrid SoC Processor
by Kalar Rajendiran on 11-01-2022 at 10:00 am

Memory Optimization Equals Power Minimization

Performance, Power and Area (PPA) are the commonly touted metrics in the semiconductor industry placing PPA among the most widely used acronyms relating to chip development. And rightly so as these three metrics greatly impact all electronic products that are developed. The degree of impact depends of course on the specific … Read More


Machine Learning Applications in Simulation

Machine Learning Applications in Simulation
by Daniel Nenni on 10-27-2022 at 6:00 am

Xcelium ML min

Machine learning (ML) is finding its way into many of the tools in silicon design flows, to shorten run times and improve the quality of results. Logic simulation seemed an obvious target for ML, though resisted apparent benefits for a while. I suspect this was because we all assumed the obvious application should be to use ML to refine… Read More


Intellectual Abilities of Artificial Intelligence (AI)

Intellectual Abilities of Artificial Intelligence (AI)
by Ahmed Banafa on 09-18-2022 at 4:00 pm

Intellectual abilities of artificial intelligence AI

To understand AI’s capabilities and abilities we need to recognize the different components and subsets of AI. Terms like Neural Networks, Machine Learning (ML), and Deep Learning, need to be define and explained.

In general, Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed… Read More


Intelligently Optimizing Constrained Random

Intelligently Optimizing Constrained Random
by Bernard Murphy on 07-12-2022 at 6:00 am

Potential coverage problems min

“Who guards the guardians?” This is a question from Roman times which occurred to me as relevant to this topic. We use constrained random to get better coverage in simulation. But what ensures that our constrained random testbenches are not wanting, maybe over constrained or deficient in other ways? If we are improving with a faulty… Read More