Using Virtual Platforms to Shift Left Automotive Software Development
summary
Virtual platforms from Imperas and partners let teams run production binaries on modeled SoCs months before silicon, enabling a proof‑of‑concept that runs AlexNet on an emulated heterogeneous SoC to demonstrate functionality, a lightweight performance estimator that models instruction‑rate and memory hierarchy (accuracy can vary up to 200–300% estimator error but still shows the order‑of‑magnitude benefit such as 10–20x RISC‑V vector speedup), and a detailed CPU+peripheral model used for early software development and hardware verification that successfully catches integration issues before tape‑out.
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chapters (9)
- 0:00Introduction and agenda
- 1:05Automotive software development complexity
- 2:32RISC-V in automotive landscape
- 5:01NSITexi and use case overview
- 7:53Proof of concept with AI accelerator
- 9:41Performance estimation tools
- 12:18Software development environment
- 14:46Virtual platforms benefits summary
- 15:27Conclusion and future outlook
