KEY COMPETENCE
safety-critical systems
Independently from the industrial domain – automotive, aerospace, medical, etc. –, most of the functions performed by embedded systems depend on high-performance, complex computation and communication architectures leveraging the latest technologies in chip design and networking.
In this context, we address the ever-renewed challenge of exploiting those technologies efficiently, i.e., maximizing safety and the use of the available resources while minimizing the development effort.
Objectives
To accomplish this goal, our competence center carries out research around three main axes:
- real-time, to ensure that services will be delivered in a predictable and deterministic time;
- hardware/software co-design, concurrency, and distribution to ensure that the processing capabilities of the hardware will be exploited efficiently;
- dependability, to ensure that the system will behave as intended, with the appropriate level of reliability and availability in the presence of physical or intentional faults.
For each of these axes, we propose our expertise on the various elements involved in computing architecture, including the processing units (SoCs, FPGAs, GPUs, neural network accelerators…), the real-time operating systems and hypervisors, the communication networks, and the tools/technologies used to build an executable code out of a model (a C program, a machine learning model).
R&T fields
Our offer
Support for the analysis of timing properties of software, hardware, and communication architectures
Support for the optimal deployment of Machine Learning algorithms on processing core, GPUs, FPGAs, etc.
Platform for the evaluation of Machine Learning deployment solutions for embedded systems
Analysis of TSN communication standards, support for the configuration of TSN networks
Platform for the evaluation of TSN
Methodological guides
Theses reports, scientific publications, conference presentations
ROAD MAP
2020 > 2025

contact us
Contact our platform experts team
