EDA

What design solutions can best help deliver increasingly complex autonomous and ADAS systems?

Mentor is active across the program at Arm TechCon with a range of conference and booth talks, demonstrations and presentations.

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.

IP core focuses on avodiing memory access bottlenecks during processing of complex machine-learning and artificial-intelligence algortihms.

Cadence has followed its launched of a parallelizable EM simulator with one that focuses on the thermal behavior of ICs through to multi-PCB assemblies.

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.