The real challenge of course is the parallelization itself. Parallelizing complex algorithms requires a detailed insight into all the dependencies, a complex task even for the experts. Add to this significant amounts of legacy code, written by engineers no longer with the company and increasing amounts of open source software. Like legacy code, there is not a lot of familiarity with the "inner life" of these parts.
Users will be happy with the increased performance but will not accept regression. That will make this shift to manycore a very complex and challenging endeavour.
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.