Lauterbach udvider AUTOSAR supporten
Lauterbach udvider supporten af AUTOSAR operativsystemer ved nu også at understøtte NeuSAR OS fra Neusoft Reach (in english).
Lauterbach, leading provider of debugging and profiling solutions for embedded systems, has further expanded its industry-leading support for AUTOSAR operating systems: From now NeuSAR from Neusoft Reach is also supported.
AUTOSAR-based, safety-critical systems require advanced analysis techniques to verify functional safety. For many years, Lauterbach’s TRACE32 debugging and trace tools have not only provided deep insights into such systems but also offered advanced solutions for timing analysis.
TRACE32 now enables the analysis of both the AUTOSAR Classic operating system NeuSAR cCore and the AUTOSAR Adaptive Platform operating system NeuSAR aCore, as well as the applications running on them.
This unique feature is realized by adding a menu extension to Lauterbach’s TRACE32 PowerView software that gives developers access to NeuSAR operating system resources such as tasks, alarms, stack coverage, and much more.
When multiple operating system instances are running on multicore SoCs, TRACE32 also supports their simultaneous debugging. This includes hypervisor debugging of virtualized systems.
- The NeuSAR platform overcomes the technical challenges associated with large-scale applications under heavy load and enables seamless operation of controllers across chip and domain boundaries. With full support from TRACE32, engineers can develop their applications from the ground up using our market-leading debugging and trace solutions, explains Linglin He, General Manager of Lauterbach’s Chinese branch.
- Lauterbach has long been recognized as a leading solution for debugging and trace analysis in complex embedded systems, says Qiang Du, President and CTO from Neusoft Reach.
- Neusoft Reach is committed to building a unified and scalable software foundation for intelligent vehicles with NeuSAR. Through the integration of NeuSAR with TRACE32, developers gain enhanced system visibility and improved efficiency in developing and validating safety-critical applications, accelerating the evolution of intelligent vehicles in the AI era.
