Eclipse APP4MC is a platform for engineering embedded multi- and many-core software systems. The platform enables the creation and management of complex tool chains including simulation and validation. As an open platform, proven in the automotive sector by Bosch and their partners, it supports interoperability and extensibility and unifies data exchange in cross-organizational projects.
Multi- and Many-Core Development Process Support
The Amalthea platform allows users to distribute data and tasks to the target hardware platforms, with the focus on optimization of timing and scheduling. It addresses the need for new tools and techniques to make effective use of the level of parallelism in this environment.
Common Data Exchange and Simulation
The System Model contains the information required to simulate, analyze and optimize performance. It contains extensive information about software, hardware, timing behavior, and constraints for the system under development.
Based on the Eclipse Modeling Framework, its capabilities not only include hardware and software modelling but in addition, tools for visualization and processing. The unified data model enables tool interoperability and data exchange with other systems such as Autosar and simplifies the exchange and storage of data.
The AMALTHEA definitions of task states and transitions provides the basis for evaluating systems with tracing tools, identifying problems and discovering improvements. These definitions are already in use in both commercial and open source tools.
The AMALTHEA workflow engine supports a continuous development workflow, allowing data exchange along the entire toolchain. Workflow elements can be customized and extended according to user needs. As a basis, a standard workflow developed with Eclipse Xtext(MWE2) is included.
Get a quick overview of how APP4MC and Capra can help you manage timing, scheduling and traceability in a multi-core environment. Thanks for watching!
Workshop participants will have the opportunity to learn and exchange on topics including parallelization strategies, scheduling analysis, tracing methods, and simulation. Various use cases as well as holistic, hypothetical, and industrial examples along with IDEs such as Eclipse APP4MC or Eclipse Kuksa give insights into state-of-the-art methodologies and tools for e.g. Automotive IoT projects.
We released a new version of APP4MC with a couple of new features and improvements.
The A4MCAR project, an APP4MC demonstrator developed by the Dortmund University of Applied Sciences and Arts will contribute to the PolarSys Rover project. The A4MCAR features functionalities from sensor and motor driving to high level functionalities such as server-based wireless driving via a Web-UI and system core monitoring and analysis. Mustafa Ozcelikors describes the details of the ongoing work in a PolarSys interview.