Description du projet
Un concept novateur qui pourrait bien révolutionner la programmation de logiciels
Les technologies intelligentes, telles que la réalité augmentée ou les drones, deviennent de plus en plus monnaie courante dans notre vie quotidienne. Or, les modèles de logiciels existants ne permettent tout simplement plus de suivre le rythme des technologies intelligentes, telles que les voitures autonomes. Pour résoudre ce problème, le projet FuSy, financé par l’UE, propose un outil de programmation novateur dénommé SLX. Cet outil de développement multicœur fournit des informations sur l’exécution logicielle des interdépendances matérielles et logicielles qui permettent d’adapter l’architecture et de remanier le code (refactoring) afin d’obtenir une utilisation optimale de tous les moteurs d’accélération utilisés avec des systèmes multicœur. Il sera dans un premier temps mis à niveau et utilisé pour des applications dans le secteur automobile, avant d’être adapté pour les domaines de la vision embarquée, de l’aviation et de la défense.
Objectif
Intelligent technologies such as autonomous cars, augmented reality or drones will soon become an integral part of our everyday lives and revolutionize many areas of our economy and industry. However, the technology community currently working on the development of these products is facing a substantial problem: the dramatic gap between hardware and software development. While the necessary, highly-performant hardware - in particular multicore processors (a processor with several cores) - is currently available to design these new technologies, an important hurdle persists in programming the software to be run on hardware platforms with increasingly numerous, complex and heterogeneous components. Since no tool exists that simulates the whole functioning of such platforms, users have no insight in advance of the processors’ utilization, which often leads to a system overload and instability. Currently, users must rely on e.g. laborious manual methods or unrealistic model-based tools. The FuSy project offers the solution: SLX, the first programming tool with full-system simulation function, which gives, in an automated process, unprecedented system insights into the behavior of multiple applications running simultaneously on complex hardware platforms. SLX allows to optimally use the existing hardware and computing power and automates tasks that take months with state-of-the-art methods into a few hours. SLX was introduced as a tool suite by company Silexica in 2015 in the wireless baseband and 5G industries. Now, within the FuSy project, it must be upgraded into a full-system simulation tool and its automotive application adapted. Silexica plans a step-by-step introduction into its target markets of automotive, embedded vision and aviation and defense - a TAM currently estimated at €810bn. With help of the SME funding, Silexica expects to reach, mainly via licenses sales, a turnover of €36.3M (of it €34.9M with FuSy) and a staff count of 210 employees by 2024.
Champ scientifique
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicles
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationstelecommunications networksmobile network5G
- natural sciencescomputer and information sciencessoftwaresoftware development
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
Programme(s)
Régime de financement
SME-2 - SME instrument phase 2Coordinateur
50825 KOLN
Allemagne
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.