From January 2021, Mentor Will Be Renamed Siemens EDA(2)

  • 2021-06-02
In such a huge system scale, simply creating and verifying ICs can no longer meet the demand, and this approach itself is a very complicated process.

What we need is a digital twin that can create, verify, validate, and simulate entire electronic systems that run real software and interact with the physical world. Designers not only need to ensure that their devices operate according to specifications, but also to ensure the performance characteristics of the application software when running in the system environment.

For 35 years, many IC designers have used digital twins to make their chips. However, the digital twin function of Siemens EDA is much more than that.
We not only provide digital twins of the design for simulation, but also digital twins of the manufacturing process to realize the design, as well as digital twins of the devices used. All of these are interconnected, allowing us to obtain continuous improvement feedback from downstream and feed insights forward. When the product is actually running on site, problems may occur. Relevant data can be fed back to the matching design digital twin, and we can use the digital twin to improve the design, and even send software upgrades to the on-site products.

PAVE360 is an excellent example based on the concept of digital twins. It is a complete autonomous vehicle verification and validation environment, modeled at the system level representing twin images of the physical vehicle and its driving environment.

The digital twin combines Siemens EDA solutions with tools in Siemens' digital industrial software. Simcenter PreScan can generate driving scenarios and associated sensor data, which will be input to the vehicle's E/E architecture model and run in the computing system of the Veloce platform. Simcenter AMESim provides a multi-domain electromechanical system simulation platform, which can form a closed-loop environment including mechanical, electrical and hydraulic subsystems. Today, front-end verification of autonomous vehicle design has become a reality.


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