Self-Driving Cars Require New Leaps In Power-Efficiency

Breaking Through Power-Efficiency Barriers for Autonomous Vehicles

Automotive applications demand thousands of SoCs for advanced autonomy.

As Advanced Driver-Assistance Systems (ADAS) push toward level 5 fully autonomous vehicles, system power requirements increase drastically. This is due to the vast computational requirements for sensor fusion and AI-based video processing and decision-making. The heterogeneous nature of autonomous automotive platforms combined with huge power demands requirements makes it essential to have an efficient clock distribution network that is as adaptive as the future of automotive technology. 

The Aeonic™ platform raises power efficiency by lowering top-level clocking (versus a mesh), compensating for voltage droop, and dynamically adjusting for silicon variation effects. And by sensing and adjusting for environmental-driven timing delays, Aeonic can reduce the effects of aging on silicon and timing glitches due to rapid temperature changes.

Aeonic™ can simplify system designs and dramatically improve performance and power efficiency in automotive, autonomous, and other safety-critical applications. Unlike traditional analog clocking solutions, it enables an all-digital workflow that allows full test coverage (scan enabled) to help designers meet necessary safety standards.