Sondrel's Platform Architecture Approach to ​Automotive and AI Assisted SoC Designs​

SoC developments are time pressured, resource constrained and face considerable risk. Add automotive FuSA and ISO26262 requirements plus heterogenous compute for vision and AI processing and the determination whether the hardware platform will be optimal for the required software workloads becomes a huge challenge.

Sondrel have applied the latest SoC architecture concepts to develop a framework for their Requirements Engineering, Systems Architecture and Virtual Prototyping phases of SoC design. Moreover, the approach was designed to enable optimal scaling of performance. Several reference SoC Architectures have been derived from this framework, each targeting specific application use cases and specific foundry process nodes from sub 10nm for higher end automotive applications through 20-40nm nodes for smaller IoT applications.

Sondrel’s presentation introduces the framework and how to reduce time-to-tapeout for a variety of designs by maximizing reuse. The use of the framework and lessons learned will be described to demonstrate how common problems are avoided to mitigate risks of SoC delivery. The approach to architectural performance modelling to address topics such as how requirements of complex AI workloads, such as the (Vision Transformers) ViT, are analysed for system architecture tuning, and will describe their impact on design.

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