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Extending fireeRTOS to Support Dynamic and Distributed Mapping in Multiprocessor Systems

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conference contribution
posted on 2018-05-17, 10:19 authored by G. Abich, M. G. Mandelli, F. R. Rosa, F. Moraes, L. Ost, R. Reis
Multiprocessor embedded architectures are driven by power wall, performance scalability and reliability challenges. Aiming to effectively scale up system performance while meeting energy-efficiency constraints, multiprocessor architectures are dividing application workloads among multiple threads/tasks [1]. The way such tasks are mapped onto the processing elements (PEs) has a significant impact on system performance, energy-efficiency and reliability [2]. With 1000-processors platforms already available in the embedded community [3], grows the demand for distributed dynamic mapping techniques capable of allocating multi application tasks efficiently. Mapping techniques have been investigated over the last years, considering different optimization goals (e.g. energy consumption, latency, etc). Most of such mapping techniques are customized implementations, which are developed based on an in-house OS. While providing optimized and efficient means for the mapping techniques, in-house OS based implementations usually are processor-dependent. With the advance of embedded processors, at some point, it will become necessary to port such in-house implementations to a more performant or energy-efficient processor architecture. Underlying porting process is likely to lead to extra design, re-validation and, consequentially a hidden cost that may well be quite high. The goal of this work is to provide a version of FreeRTOS [4] that supports a set of distributed and dynamic task mapping heuristics, which can be easily employed by almost thirty different processor architectures. Due to the non-intrusive and flexible implementation, promoted extensions provide an efficient means not only to use and extend available heuristics but also to integrate new ones.


The authors would like to thank Imperas Software Ltd. and Open Virtual Platforms for their support and access to their models and simulator. Fernando Moraes and Ricardo Reis are supported by CNPq. Luciano Ost thanks the support of Santander Universities UK for the travel grant to Brazil.



23rd IEEE International Conference on Electronics, Circuits and Systems (ICECS), 2016, pp. 712-715 (4)

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/Organisation/COLLEGE OF SCIENCE AND ENGINEERING/Department of Engineering


23rd IEEE International Conference on Electronics, Circuits and Systems (ICECS), Monte Carlo, Monaco


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