What can GPUs bring to ADAS?: Page 5 of 6

February 06, 2019 // By Bryce Johnstone
What can GPUs bring to ADAS?
One of the most talked about topics in the automotive industry today is advanced driver assistance systems (ADAS). These systems assist the driver in dealing with potential issues in a number of ways. They can provide visual and audible warnings to the driver, but they can also take control of the brakes, accelerator and steering to move the car out of the way of danger.

As we have described virtualization enables all contexts running on the GPU to operate in isolation from each other to ensure that all ADAS functions are run safely, and as it is supported in hardware, it can do so at the performance level required. Hardware backed virtualization is a key strength of PowerVR and Imagination offers it on all its graphics core across the mid and high end. 

Imagination also delivers a toolset to support the development, optimisation and deployment of neural networks across GPU and AI accelerators. It is one unified tool-chain that enables developers to take multiple frameworks and multiple network types and bring them into a format that allows them to be deployed on either the GPU as a Compute Engine, on our PowerVR Series2NX and 3NX neural networks accelerators, or as a mixture of the two, where the flexibility of the GPU to implement a layer in a new variant of the network can be complemented by running the remaining layers on a highly optimised, high-performance dedicated CNN accelerator.

Thus, ADAS platform designers can use the GPU as a first-class component in the overall system architecture of the car, while allowing the system vendor to amortize their investment by also using the GPU to accelerate in-vehicle infotainment software, in a safe and secure manner.

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