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Energy- and Latency-Aware NoC Mapping Based on Chaos Discrete Particle Swarm Optimization

机译:基于混沌离散粒子群优化的能量和延迟感知NoC映射

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In this paper, the mapping strategy for Network-On-chip is decomposed into two phases: assigning the tasks to the suitable IP cores, and mapping the IP cores to the appropriate network tiles in NoC platform. A heuristic mapping algorithm based on chaotic discrete particle swarm optimization is proposed. The algorithm can automatically resolve the mapping problem to optimize the delay and energy consumption. The coarse and accurate estimations for delay and energy consumption are used respectively in different phases of mapping process. Simulation results show that this algorithm can obtain better solutions than the genetic algorithm based method.
机译:在本文中,网络上网映射策略被分解为两个阶段:将任务分配给合适的IP核心,并将IP核心映射到NOC平台中的适当网络块。 提出了一种基于混沌离散粒子群优化的启发式映射算法。 该算法可以自动解析映射问题以优化延迟和能量消耗。 用于延迟和能量消耗的粗略和准确估计分别以映射过程的不同阶段使用。 仿真结果表明,该算法可以获得比基于遗传算法的方法更好的解决方案。

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