Siemens EDA

Harness manufacture in automotive remains manually intensive but model-based engineering provides a way to streamline the processes to make them more efficient, a Mentor white paper claims.

Siemens is combining recent acquisitions in novel ways, including one that will see a web-app development package interact more closely with Mentor's embedded offerings.

The digital-twin concept provides several avenues to achieving better safety analysis and is likely to benefit from Siemens' integration of Mentor activities.

Mentor has a host of tools - some public, some not - that leverage AI and ML. EVP Joe Sawicki has been describing the strategy behind their development.

The new Calibre Reconnaissance feature within Mentor's physical verification suite aims to maximize compute resources and deliver manageable reports.

The automotive market faces challenges that make it a prime candidate for the greater use of high-level synthesis on designs with AI and ML content.

A new whitepaper describes some of the techniques you can use to get the most out of cloud-based DRC with Calibre.

Safety verification calls for increased collaboration across the supply chain, experts say. The challenge is finding ways to make that happen.

Reset domain crossing is another area where rising SoC complexity and IP reuse is causing an increase in reliability and safety challenges.

Konica Minolta describes how it has constructed a C++ signoff flow that mitigates code ambiguity, manual analysis and other inefficiencies.