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


Machine Learning Applied to IP Validation, Running on AWS Graviton2

Machine Learning Applied to IP Validation, Running on AWS Graviton2
by Daniel Payne on 11-22-2021 at 10:00 am

Solido Variation Designer on Neoverse N1 CPU min

I recall meeting with Solido at DAC back in 2009, learning about their Variation Designer tool that allowed circuit designers to quickly find out how their designs performed under the effects of process variation, in effect finding the true corners of the process. Under the hood the Solido tool was using Machine Learning (ML) techniques… Read More


High Speed SerDes Design and Simulation Webinar Replay from Mentor

High Speed SerDes Design and Simulation Webinar Replay from Mentor
by Tom Simon on 05-14-2020 at 10:00 am

Mentor SerDes Simulation

Over the years SerDes (serializer/deserializer) based connections have proliferated into just about every connection within and among computing systems. Years ago, parallel interfaces were the most common method of moving data, but issues of signal integrity, synchronization and power simply became too much for the required… Read More


Low Power Design – Art vs. Science

Low Power Design – Art vs. Science
by Daniel Nenni on 08-21-2019 at 10:00 am

I have heard many times before that low power and mixed-signal design is more Art than Science. I believe this is a misconception. Science is a field that builds upon previous experiences and discoveries. Art primarily seeks out creative differences, things we have not seen before that evoke emotion. The most successful designers… Read More


Solido Lunch and Learn Seminar: Variation-Aware Verification and Library Characterization Powered by Machine Learning

Solido Lunch and Learn Seminar: Variation-Aware Verification and Library Characterization Powered by Machine Learning
by Daniel Payne on 07-04-2019 at 12:22 am

Overview

The ever-demanding and expanding applications in automotive, high-performance computing, mobile, and IoT are the driving force behind the increasing complexity of today’s semiconductor designs. Because of this, design and verification methodologies that were “good enough” in the past, are no longer adequate … Read More


Mentor FINALLY Acquires Solido Design

Mentor FINALLY Acquires Solido Design
by Daniel Nenni on 11-20-2017 at 5:00 pm

I say finally because it was a long time coming… almost ten years to be exact. I started doing business development work for both Solido and Berkeley Design Automation about ten years ago and have been trying to put them together ever since. The synergy was obvious, like peanut butter and jelly. In fact, this is my third time … Read More


A better way to combine PVT and Monte Carlo to improve yield

A better way to combine PVT and Monte Carlo to improve yield
by Tom Simon on 10-11-2017 at 12:00 pm

TSMC held its Open Innovation Platform Forum the other week on September 13[SUP]th[/SUP]. Each year the companies that exhibit at this event choose to highlight their latest technology. One of the most interesting presentations that I received during the event was from Solido. In recent years they have produced a number of groundbreaking… Read More


Solido Debuts New ML Tool at TSMC OIP!

Solido Debuts New ML Tool at TSMC OIP!
by Daniel Nenni on 09-08-2017 at 7:00 am

The TSMC OIP Ecosystem Forum is upon us and what better place to debut a new tool to prevent silicon failures. Solido Design Automation just launched its latest tool – PVTMC Verifier – and will be demonstrating it in their booth at OIP. This is the third product that was developed within its Machine Learning Labs and is… Read More


EDA Machine Learning from the Experts!

EDA Machine Learning from the Experts!
by Daniel Nenni on 08-16-2017 at 7:00 am

Traditionally, EDA has been a brute force methodology where we buy more software licenses and more CPUs and keep running endless jobs to keep up with the increasing design and process complexities. SPICE simulation for example; when I meet chip designers (which I do quite frequently) I ask them how many simulations they do for a … Read More


Machine Learning in EDA Flows – Solido DAC Panel

Machine Learning in EDA Flows – Solido DAC Panel
by Tom Simon on 07-12-2017 at 12:00 pm

At DAC this year you could learn a lot about hardware design for AI or Machine Learning (ML) applications. We are all familiar with the massively parallel hardware being developed for autonomous vehicles, cloud computing, search engines and the like. This includes, for instance, hardware from Nvidia and others that enable ML … Read More