Project description
Optimising heterogeneous multicore systems
With the growth in mobile applications, cyber-physical systems, and the internet of things, there is a need to enhance the energy efficiency of multicore computing applications. This means software designs should perform well within an energy budget, while making optimum use of hardware resources. Although parallel multicore hardware and heterogeneous systems are inherently energy-efficient, there are not enough analyses to predict their energy requirements. However, such information is essential to software developers and programmers. The EU-funded TeamPlay project aims to create a toolbox for parallel software development in low-energy systems that will enable effective handling of execution time, energy use, security and other non-functional properties. Industrial use cases will include computer vision, satellites, drones and medical applications.
Objective
The TeamPlay project aims to develop new, formally-motivated, techniques that will allow execution time, energy usage, security, and other important non-functional properties of parallel software to be treated effectively, and as first- class citizens. We will build this into a toolbox for developing highly parallel software for low-energy systems, as required by the internet of things, cyber-physical systems etc. The TeamPlay approach will allow programs to reflect directly on their own time, energy consumption, security, etc., as well as enabling the developer to reason about both the functional and the non-functional properties of their software at the source code level.
Our success will ensure significant progress on a pressing problem of major industrial importance: how to effectively manage energy consumption for parallel systems while maintaining the right balance with other important software metrics, including time, security etc. The project brings together leading industrial and academic experts in paral- lelism, energy modeling/transparency, worst-case execution time analysis, non-functional property analysis, compi- lation, security, and task coordination. Results will be evaluated using industrial use cases taken from the computer vision, satellites, flying drones, medical and cybersecurity domains.
Fields of science
- natural sciencescomputer and information sciencessoftware
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencescomputer and information sciencesartificial intelligencecomputer vision
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdrones
- natural sciencescomputer and information sciencescomputer security
Programme(s)
Topic(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
78153 Le Chesnay Cedex
France