It's logically multicore with a time sliced architecture that let's each slice handle an operation or set of operations in a defined time window. This deterministic latency lends itself very well to software programable I/O operations and real time applications such as control and robotics, rather than GPU. It also allows the chip to scale with multiple processor cores each handling multiple slices, all allocated by the compiler. It's done well with the real time Ethernet AVB protocol that is gathering traction in automotive with the determinism, and they have combined their xCore with the Silicon Labs ARM-based controller but this deal is about the definition and implementation of the next generation devices.
What are the engineering and design challenges in creating successful IoT devices? These devices are usually small, resource-constrained electronics designed to sense, collect, send, and/or interpret data. Some of the devices need to be smart enough to act upon data in real time, 24/7. Are the design challenges the same as with embedded systems, but with a little developer- and IT-skills added in? What do engineers need to know? Rick Merritt talks with two experts about the tools and best options for designing IoT devices in 2016. Specifically the guests will discuss sensors, security, and lessons from IoT deployments.