What can GPUs bring to ADAS?: Page 4 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.

Enabling new revenue opportunities

From a car OEM’s point of view virtualization offers an additional benefit. It enables a safer environment to deliver various applications and services without any concerns about the electronics systems being taken down by a rogue piece of software. It also means that rather than a traditional hardware box with fixed software for the infotainment and engine management systems the car becomes a flexible, configurable software platform that’s updateable over-the-air. It would enable OEMs to swap paid-for services in and out easily, without disruption to the operation of the car, thus offering them potential new revenue streams.


Why Imagination

Imagination’s PowerVR GPUs offer a set of desirable properties for ADAS functions. The core compute architecture inside today's PowerVR GPUs was designed from the ground up to offer fast performance and low power consumption for reduced-precision computation, especially half-precision floating point (FP16). Running at lower precision (where lower is usually classed as less than 32-bits) is one of the best ways to reduce power dissipation in an embedded GPU without significant loss of accuracy. We've designed the FP16 hardware as a separate data path from the full-precision FP32 hardware. While shared data path designs are common since they're simpler in many ways, having discrete hardware for each enables us to offer the best possible power consumption and efficiency because each data path accepts less compromise in the design to do what it needs to do.

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