Intel claims new levels of security, determinism, and image and video processing power for the MPU; ther is also a variant specifically intended for automotive applications. The A3900 automotive series will enable a complete software defined cockpit solution that includes in-vehicle infotainment (IVI), digital instrument clusters and advanced driver assistance systems (ADAS) - all in a single, compact and cost-effective SoC. The A3900 series will allow car makers to offer new levels of determinism for real-time decision-making required in next-generation cars. It is currently sampling with customers and will be available in Q1 2017.
The Intel Atom processor E3900 series will make the edge and fog more intelligent - enabling many of the processing needs to take place at or near the data sensor and alleviating the need to push all processing to the data center. Fog computing, also known as fog networking, is a decentralized computing infrastructure in which computing resources and application services are distributed in the most logical place at any point from the data source to the cloud.
With more than 1.7 times more computing power over the previous generation the E3900 Series is designed to enable faster memory speeds and memory bandwidth to provide the efficient processing capability needed for edge to cloud network computing. Built into a compact flip chip ball grid array (FCBGA) and featuring 14 nm silicon technology, the Intel Atom processor E3900 series is suitable for a wide range of IoT applications, where scalable performance, space and power are at a premium. Additional new features and capabilities include:
- graphics for media-rich applications: the processor series features Intel's ninth-generation graphics engine that improves 3-D graphics performance by 2.9 times over the previous generation, and supports as many as three independent displays.
- advanced image processing to support all types of vision system needs: the E3900 series has four vector image processing units, resulting in better visibility, quality video in