Projektbeschreibung
Ein revolutionärer Weg für die Softwareprogrammierung
Intelligente Technologien wie Erweiterte Realität oder die Drohnentechnik zählen immer mehr zum Alltag vieler Menschen. Bisher vorhandene Softwaremodelle reichen einfach nicht aus, um mit intelligenten Technologien wie autonomen Autos Schritt halten zu können. Um dieses Problem zu lösen, wird durch das EU-finanzierte Projekt FuSy das Programmierungstool SLX entwickelt. Dieses Multicore-Entwicklungsinstrument bietet softwareseitige Einblicke in die Abhängigkeiten zwischen Hard- und Software und ermöglicht Codearchitektur und Refactoring für eine optimale Nutzung aller verwendeten Beschleunigungsmaschinen auf Multicore-Systemen. Es wird erst für die Automobilanwendung und später für Embedded Vision, Luftfahrt und Verteidigung aufgerüstet und angepasst werden.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Programm/Programme
Thema/Themen
Aufforderung zur Vorschlagseinreichung
Andere Projekte für diesen Aufruf anzeigenUnterauftrag
H2020-SMEInst-2018-2020-2
Finanzierungsplan
SME-2 - SME instrument phase 2Koordinator
50825 KOLN
Deutschland
Die Organisation definierte sich zum Zeitpunkt der Unterzeichnung der Finanzhilfevereinbarung selbst als KMU (Kleine und mittlere Unternehmen).