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Feature: Embedded design


Enabling a critical phase in SoC development


I


By Romain Petit, Product Manager for Software Prototyping solutions, Siemens EDA question of when and how the software stack is integrated with the hardware, and in what environment the integrated design is tested. And to a great extent, that difference comes down to a collection of small, simple circuit cards.


magine two system-on-chip (SoC) design projects, with both to be AI-enhanced hearts of automotive advanced driver assistance systems (ADAS). Both will include I/Os, CPUs, DSPs,


AI-accelerator processing and high memory bandwidth, to accept signals from various vehicle sensors, such as radar, cameras, actuators, displays, data logs and more. One project moves relatively smoothly


to tape-out, system integration and deployment, whereas the other struggles. Much of the hard work of hardware/ software integration waits until silicon is available. Significant issues show up during this effort, and for a while the project teeters on the verge of a disastrous silicon re-spin, before moving into limited deployment with some features disabled. The difference between these two


projects is not the skill of the design team or the resources they use. It is a


Testing: When and how Obviously, on a major SoC project, software development and test can’t wait until silicon is available. Design teams have come up with many techniques to make parallel development work, but one in particular is emerging as the preferred approach. An early, and still popular technique,


is to attempt to separate the software stack into hardware-independent and hardware-dependent portions, separated by an operating system layer and communicating through well- characterised application programming interfaces (APIs). In principle, the larger hardware-independent code can be developed in a server environment with


34 December 2025/January 2026 www.electronicsworld.co.uk


standard debugging techniques, using stubs to stand in for the APIs. Then the hardware-dependent, hopefully much smaller, portion of the code stack can be developed as the register transfer level (RTL) design takes shape, using a hardware emulation system or perhaps even simulation as an execution environment. This approach has its challenges. First,


it is not always easy, or even possible, to determine which portions of the code are really hardware independent. Dependencies may reach unnoticed deep into the application code, especially when intensive I/O and high computing loads must meet hard timing deadlines. After all, software developers must make some assumptions about execution speeds, cache sizes and memory latencies – assumptions that may later prove false. Integration of the software with the


RTL model of the chip is generally going to execute too slowly, even on an emulation system, to allow extensive


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