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Design Automation Conference Machine Learning Panel

Register now for the 4th Annual Solido Panel at DAC 2017: EDA Powered by Machine Learning on Monday, June 19 2017 in Austin, TX.

Register for 2017 DAC Panel

Solido Demos at Design Automation Conference 2017

Register now for a 1-hour 1-on-1 Demo for ML Characterization Suite or Variation Designer with a Solido representative at DAC 2017, June 19-21, in Austin TX.

Register for Demo at DAC 2017

Machine Learning (ML) Characterization Suite

New from Solido. Fast, accurate library characterization tools powered by machine learning.

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Variation Designer 4

The world’s most advanced variation-aware design software just got a big upgrade. We added a suite of powerful new features for accelerating memory, analog/RF, and standard cell verification. And it’s easier to use and adopt than ever.

 

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Machine Learning (ML) Labs

We invite you to collaborate with Solido to develop machine learning-based EDA products to address semiconductor design challenges.

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Variation Designer for Memory

Solido Variation Designer is a must-have tool for nanometer memory design. Variation Designer 4 delivers full chip memory statistical verification and High-Sigma Monte Carlo verification with true Monte Carlo & SPICE accuracy. Verify memory designs with unprecedented precision, and make the right decisions about timing, power, area, yield, and redundancy.

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Variation Designer for Analog/RF

Variation Designer 4 lets analog/RF designers design for variation faster and with greater insight than ever before. Make better design tradeoffs, avoid failures, and deliver the most competitive products within tight production timeframes.

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Variation Designer for Standard Cell

Variation Designer 4 enables standard cell library designers to verify their cell libraries to 3-sigma and high-sigma quickly and accurately. And new batch command generation capabilities make it efficient to set up batch library verification analysis.

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Solido, Machine Learning Chip Design Software Experts

Solido Design Automation makes the world’s top computer-aided design software for variation-aware design and characterization, used by companies that makes chips for electronic devices. Our software is used to improve chip yield, improve performance, reduce die area, and reduce power consumption. It does this using a suite of machine learning technologies designed to provide fast, accurate measurements and powerful tools for understanding and solving problems.

Our customers include most of the top semiconductor chip design companies in the world. Our user base currently spans well over 1000 production chip designers, and is growing quickly. Solido’s software has been used to design chips that are in everything – phones, tablets, cars, TVs, PCs, credit cards – all kinds of products. It is becoming hard to find electronic devices manufactured in the last few years that do not include a chip that was designed using Solido’s software. We work with designers on mature and leading edge technologies.

Solido is headquartered in Canada, where our Product Development and Applications Engineering staff work together under one roof at Innovation Place in Saskatoon, Canada. We are expanding quickly to serve our growing customer base.

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Support

Solido’s support is awesome.

Solido’s support team members are all top experts in Solido’s full line of tools.

Our team understands the pressures of delivering chip designs on schedule, and specializes in real-time problem solving to keep our users on track. We can bring in top specialists in real-time, and we are famous for our real-time work-arounds and same-day patches. Plus, all of our support team members are genuinely really great people – that’s our number one recruiting criterion – who are a pleasure to work with and get to know, and who always put our customers’ interests first.

If you would like a hand with our tools or have any questions, do not hesitate to contact us at support@solidodesign.com.

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Major Customers Served in 2016

User-Driven Enhancements in 2016

1-on-1 Sessions Completed in 2016