Browsing by Author "Kemcha, Rebiha"

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    Application mapping onto network on chip using particul swarm optimisation with genetic algorithm “GAPSO”
    (IEEE, 2022) Bougherara, Maamar; Amara, Rafik; Kemcha, Rebiha
    Network-on-chip is a new concept of interconnection in single-chip systems. This architecture is associated with the traditional methods of design of the interconnections which aims to carry out several functionalities and to stage the limits of that of the traditional methods. However, like any new technology, it requires research efforts, in particular to speed up and simplify the design phases. The mapping phase is a main step in the network-on-chip design process, it has a direct impact on system performance. This phase makes it possible to assign each task of an application to a physical resource while respecting the imposed constraints. This work aims to evaluate the performance for single-objective placement based on particle swarm optimization PSO and hybridization of this algorithm with the genetic algorithm
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    DEMAP: differential evolution mapping for network on chip optimization
    (Intelektual Pustaka Media Utama, 2023) Bougherara, Maamar; Amara, Rafik; Kemcha, Rebiha
    Network-on-chip (NoC) is a new paradigm for system-on-chip (SoC) design, which facilitates the interconnection and integration of complex components. Since this technology is still new, significant research efforts are needed to ac-celerate and simplify the design phases. Mapping is a critical phase in the NoC design process, as a mismatch of application software components can signif-icantly impact the final system’s performance. Therefore, it is essential to develop automated tools and methods to ensure this step. The main objective of this project is to develop a new approach that can be used to map applications on the NoC architecture to reduce communication costs. To achieve this goal, we have opted for an optimization algorithm, specifically the differential evolution algorithm.