Project description
Computing Systems
The increasing demand for functionality in current and future real-time embedded systems is driving an increase in performance of processors. However at the same time, in developing safety-related real-time embedded systems, there is a need to prove that the timing requirements are met. Multi-core processors are increasingly being considered as the solution to achieve the increased processor performance, without increasing CPU clock speeds and maintaining low chip costs, low power consumption etc. However, current trends in mainstream multi-core processor design result in processors with certainly reduced average execution times, but typically with unpredictable and unanalysable (or extremely pessimistic) worst case behaviour that deems them unusable in the domain of safety-related real-time embedded systems.
The MERASA project will develop multi-core processor designs (from 2 to 16 cores) for hard real-time embedded systems hand in hand with timing analysis techniques and tools to guarantee the analysability and predictability regarding timing of every single feature provided by the processor. Design exploration activities will be performed in conjunction with the timing analysis tools. The project will address both static WCET analysis tools (the OTAWA toolset) as well as hybrid measurement-based tools (RapiTime) and their interoperability. It will also develop system-level software with predictable timing performance.
To constrain production costs and technology integration risks, we investigate hardware-based real-time scheduling solutions that empower the same multi-core processor to handle hard, soft, and non real-time tasks on different cores. The developed hardware/software techniques will be evaluated by application studies from aerospace, automotive, and construction-machinery areas performed by selected industrial partners.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences software
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware computer processors
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-1
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
86159 Augsburg
Germany
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.