Tool chain for real-time programming

More and more safety-critical embedded electronic solutions are based on rapid, energy-efficient multi-core processors. "Two of the most important requirements of future applications are an increased performance in real time and further reduction of costs without adversely affecting functional safety," Professor Jürgen Becker of the Institute for Information Processing Technology (ITIV) of KIT says, who coordinates ARGO. "For this, multi-core processors have to make available the required performance spectrum at minimum energy consumption in an automated and efficiently programmed manner."

Multi-core systems are characterized by the accommodation of several processor cores on one chip. The cores work in parallel and, hence, reach a higher speed and performance. Programming of such heterogeneous multi-core processors is very complex. Moreover, the programs have to be tailored precisely to the target hardware and to fulfill the additional real-time requirements. The ARGO EU research project, named after the very quick vessel in Greek mythology, is aimed at significantly facilitating programming by automatic parallelization of model-based applications and code generation. So far, a programmer had to adapt his code, i.e. the instructions for the computer, to the hardware architecture, which is associated with a high expenditure and prevents the code from being transferred to other architectures.

"Under ARGO, a new standardizable tool chain for programmers is being developed. Even without precise knowledge of the complex parallel processor hardware, the programmers can control the process of automatic parallelization in accordance with the requirements. This results in a significant improvement of performance and a reduction of costs," Becker says.

In the future, the ARGO tool chain can be used to manage the complexity of parallelization and adaptation to the target hardware in a largely automated manner with a small expenditure. Under the project, real-time-critical applications in the areas of real-time flight dynamics simulation and real-time image processing are studied and evaluated by way of example.