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APPLICATION MAPPING OF MESH BASED-NoC USING MULTI-OBJECTIVE GENETIC ALGORITHM

机译:基于多目标遗传算法的基于网格的NoC应用映射

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Network on Chip (NoC) is a new paradigm for design core based System on Chip (SoC) which supports high degree of reusability and provides increase computation power. This paper addresses the problem of topological mapping of intellectual properties (IPs) on the tiles of a mesh-based NoC in two systematic steps using multi-objective evolutionary algorithm. The main objective is to obtain the pareto mappings that minimized the energy consumption (computational and communicational) and link bandwidth requirement under performance constraints. The evaluation performed on three randomly generated benchmarks and a real application (M-JPEG encoder) to conform the efficiency, accuracy and scalability of the proposed approach. Our proposed approach saves up to 15-20% of energy and bandwidth requirements compared with the existing approaches.
机译:片上网络(NoC)是基于设计核心的片上系统(SoC)的新范例,它支持高度的可重用性并提供增强的计算能力。本文使用多目标进化算法,在两个系统步骤中解决了在基于网格的NoC的图块上对知识产权(IP)进行拓扑映射的问题。主要目的是获得在性能约束下使能耗(计算和通信)和链路带宽需求最小化的pareto映射。评估在三个随机生成的基准和一个实际应用程序(M-JPEG编码器)上执行,以符合所提出方法的效率,准确性和可伸缩性。与现有方法相比,我们提出的方法可节省多达15-20%的能量和带宽需求。

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