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CORDIS

Integrating European Timing Analysis Technology

Project description


Embedded Systems Design

A large class of embedded systems has safety, availability, reliability, timing and performance requirements. Timing analysis is needed in many steps of the development process; it is a key to rapid designing and prototyping of embedded systems, to reduce system overall cost through efficient resource management (especially: tradeoffs when co-developing hardware and software), to find bottlenecks in the software, and to validate that the system meets its timing requirements. There is a growing awareness of the importance of correct timing for these systems, however, there is still a lack of efficient methods and tools for timing assessment and validation that can be used in European industry. The existing timing analysis technology by far does not exploit the potential inherent in European research results and timing tools.
The ALL-TIMES project aims at combining and developing research results and timing tools currently available and thus to strengthen the European lead in the timing analysis area. The ALL-TIMES project will enable interoperability of tools from SMEs and universities, and develop integrated tool chains using open tool frameworks and interfaces. By combining research results and commercial tools, ALL-TIMES will ensure the flow of ideas from basic research to practice.
ALL-TIMES will strengthen the competitiveness of several key industries in Europe, not only the automotive and aerospace areas (where partial awareness already exists) but also automation, manufacturing, robotics, medical, communication, and multimedia, and other market areas where timing is of importance.

Call for proposal

FP7-ICT-2007-1
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Coordinator

MALARDALENS UNIVERSITET
EU contribution
€ 413 510,00
Address
HOGSKOLEPLAN 1
721 23 VASTERAAS
Sweden

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Region
Östra Sverige Östra Mellansverige Västmanlands län
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Björn Lisper (Prof.)
Links
Total cost
No data

Participants (5)