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Contention-Free Execution of Automotive Applications on a Clustered Many-Core Platform


Matthias Becker, Dakshina Dasari , Borislav Nicolic , Benny Åkesson , Vincent Nélis , Thomas Nolte

Publication Type:

Conference/Workshop Paper


28th Euromicro Conference on Real-Time Systems


Next generations of compute-intensive real-time applications in automotive systems will require more powerful computing platforms. One promising power-efficient solution for such applications is to use clustered many-core architectures. However, ensuring that real-time requirements are satisfied in the presence of contention in shared resources, such as memories, remains an open issue. This work presents a novel contention-free execution framework to execute automotive applications on such platforms. Privatization of memory banks together with defined access phases to shared memory resources is the backbone of the framework. An Integer Linear Programming (ILP) formulation is presented to find the optimal time-triggered schedule for the on-core execution as well as for the access to shared memory. Additionally a heuristic solution is presented that generates the schedule in a fraction of the time required by the ILP. Extensive evaluations show that the proposed heuristic performs only 0.5% away from the optimal solution while it outperforms a baseline heuristic by 67%. The applicability of the approach to industrially sized problems is demonstrated in a case study of a software for Engine Management Systems.


author = {Matthias Becker and Dakshina Dasari and Borislav Nicolic and Benny {\AA}kesson and Vincent N{\'e}lis and Thomas Nolte},
title = {Contention-Free Execution of Automotive Applications on a Clustered Many-Core Platform},
month = {July},
year = {2016},
booktitle = {28th Euromicro Conference on Real-Time Systems},
url = {}