| 1. |
- Faragardi, Hamid Reza, et al.
(författare)
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A communication-aware solution framework for mapping AUTOSAR runnables on multi-core systems
- 2014
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Ingår i: 19th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2014. - 9781479948468 ; , s. Article number 7005244-
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Konferensbidrag (refereegranskat)abstract
- An AUTOSAR-based software application contains a set of software components, each of which encapsulates a set of runnable entities. In fact, the mission of the system is fulfilled as result of the collaboration between the runnables. Several trends have recently emerged to utilize multi-core technology to run AUTOSAR-based software. Not only the overhead of communication between the runnables is one of the major performance bottlenecks in multi-core processors but it is also the main source of unpredictability in the system. Appropriate mapping of the runnables onto a set of tasks (called mapping process) along with proper allocation of the tasks to processing cores (called task allocation process) can significantly reduce the communication overhead. In this paper, three solutions are suggested, each of which comprises both the mapping and the allocation processes. The goal is to maximize key performance aspects by reducing the overall inter-runnable communication time besides satisfying given timing and precedence constraints. A large number of randomly generated experiments are carried out to demonstrate the efficiency of the proposed solutions.
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| 2. |
- Faragardi, Hamid Reza, et al.
(författare)
-
An efficient scheduling of AUTOSAR runnables to minimize communication cost in multi-core systems
- 2014
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Ingår i: 2014 7th International Symposium on Telecommunications, IST 2014. - 9781479953592 ; , s. 41-48
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Konferensbidrag (refereegranskat)abstract
- The AUTOSAR consortium has developed as the worldwide standard for automotive embedded software systems. From a processor perspective, AUTOSAR was originally developed for single-core processor platforms. Recent trends have raised the desire for using multi-core processors to run AUTOSAR software. However, there are several challenges in reaching a highly efficient and predictable design of AUTOSAR-based embedded software on multi-core processors. In this paper a solution framework comprising both the mapping of runnables onto a set of tasks and the scheduling of the generated task set on a multi-core processor is suggested. The goal of the work presented in this paper is to minimize the overall inter-runnable communication cost besides meeting all corresponding timing and precedence constraints. The proposed solution framework is evaluated and compared with an exhaustive method to demonstrate the convergence to an optimal solution. Since the exhaustive method is not applicable for large size instances of the problem, the proposed framework is also compared with a well-known meta-heuristic algorithm to substantiate the capability of the frameworks to scale up. The experimental results clearly demonstrate high efficiency of the solution in terms of both communication cost and average processor utilization.
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