Efficient Embedded Software Migration towards Clusterized Distributed-Memory Architectures

Abstract : A large portion of existing multithreaded embedded software has been programmed according to symmetric shared memory platforms where a monolithic memory block is shared by all cores. Such platforms accommodate popular parallel programming models such as POSIX threads and OpenMP. However with the growing number of cores in modern manycore embedded architectures, they present a bottleneck related to their centralized memory accesses. This paper proposes a solution tailored for an efficient execution of applications defined with shared-memory programming models onto on-chip distributed-memory multicore architectures. It shows how performance, area and energy consumption are significantly improved thanks to the scalability of these architectures. This is illustrated in an open-source realistic design framework, including tools from ASIC to microkernel.
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IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers, 2015, 65 (8), pp.2645-2651. 〈10.1109/TC.2015.2485202〉
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01385656
Contributeur : Abdoulaye Gamatié <>
Soumis le : vendredi 21 octobre 2016 - 17:36:19
Dernière modification le : jeudi 28 juin 2018 - 15:11:59

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Rafael Garibotti, Anastasiia Butko, Luciano Ost, Abdoulaye Gamatié, Gilles Sassatelli, et al.. Efficient Embedded Software Migration towards Clusterized Distributed-Memory Architectures. IEEE Transactions on Computers, Institute of Electrical and Electronics Engineers, 2015, 65 (8), pp.2645-2651. 〈10.1109/TC.2015.2485202〉. 〈lirmm-01385656〉

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