Renesas is usually one of the most popular processor, it is the best for the automotive control system. There is now upcoming virtualization Data Recovery software that runs on Renessa R car platform but It began with the Green Field Virtualization software in 2015. The Green Hills Software is also known for being a vendor for the internet of things (IOT) in the embedded development so It is known for being innovative and in 2008 its INTEGRITY 178 RTOS was the only Os system that was certified by NIAP. Green Field Virtualization software had the first 64 bits secure virtualization solution.
Green Field Virtualization software is known for high level of security, high reliability of applications for many divisions including medical, industrial, automotive, networking, consumer and many other. This virtualization software also comes with many advantages to the R Car technology, this includes:
● It increases flexibility of design choices
● The best part about it is that it saves up on cost this is through hardware consolidation
● It is versatile and can support about many application processors on the R-Car
● You can safely shares peripheral routing when you are in between critical risks or even general tasks. You can Data Recovery reuse the software thanks to the integrated software which is seamless.
● It supports all the safety elements of the R Car H3.
● It also increases the performance of the hardware and graphics in the Renesas R-car.
● It has secure virtualization, this is because it enables the coexisting with other operating system or even the general purpose code without interference. Each enjoys the top end graphics.
● It provides safety for the manufacturer of automotive devices.
This became the beginning of the new era of new and modern Data Recovery technology and many have embraced the virtualization of the Renesas R car including the DiSTI Corporation which is a lead provider of graphical user interface development software collaborated with Mobica in January 2016 for the new Renesas R Car H3 platform.