T-CREST: Time-predictable multi-core architecture for embedded systems

Martin Schoeberl(Technical University of Denmark), Sahar Abbaspour(Technical University of Denmark), Benny Åkesson(Czech Technical University in Prague), Neil Audsley(University of York), Raffaele Capasso(INTECS (Italy)), Jamie Garside(University of York), Kees Goossens(Eindhoven University of Technology), Sven Goossens(Eindhoven University of Technology), Scott D. Hansen, Reinhold Heckmann(AbsInt (Germany)), Stefan Hepp(TU Wien), Benedikt Huber(TU Wien), Alexander Jordan(Technical University of Denmark), Evangelia Kasapaki(Technical University of Denmark), Jens Knoop(TU Wien), Yonghui Li(Eindhoven University of Technology), Daniel Prokesch(TU Wien), Wolfgang Puffitsch(Technical University of Denmark), Peter Puschner(TU Wien), André Rocha(GMV Innovating Solutions (Portugal)), Cláudio Silva(GMV Innovating Solutions (Portugal)), Jens Sparsø(Technical University of Denmark), Alessandro Tocchi(INTECS (Italy))
Journal of Systems Architecture
April 11, 2015
Cited by 184Open Access
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Abstract

Real-time systems need time-predictable platforms to allow static analysis of the worst-case execution time (WCET). Standard multi-core processors are optimized for the average case and are hardly analyzable. Within the T-CREST project we propose novel solutions for time-predictable multi-core architectures that are optimized for the WCET instead of the average-case execution time. The resulting time-predictable resources (processors, interconnect, memory arbiter, and memory controller) and tools (compiler, WCET analysis) are designed to ease WCET analysis and to optimize WCET performance. Compared to other processors the WCET performance is outstanding. The T-CREST platform is evaluated with two industrial use cases. An application from the avionic domain demonstrates that tasks executing on different cores do not interfere with respect to their WCET. A signal processing application from the railway domain shows that the WCET can be reduced for computation-intensive tasks when distributing the tasks on several cores and using the network-on-chip for communication. With three cores the WCET is improved by a factor of 1.8 and with 15 cores by a factor of 5.7. The T-CREST project is the result of a collaborative research and development project executed by eight partners from academia and industry. The European Commission funded T-CREST.


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