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Solving NoC mapping problem with improved particle swarm algorithm

机译:改进的粒子群算法求解NoC映射问题

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Network on chip (NoC) mapping problem belongs to quadratic assignment problem, and quadratic assignment problem is a classical combinatorial optimization problem which has been proved to be a NP-complete problem. In this paper, the widely used 2D-mesh as a NoC topology is studied, and the important factors influencing the performance of the system-power consumption and delay are modeled. Then the approximate optimal solution is found using the improved discrete particle swarm optimization algorithm. Simulation experiments show that very good optimal results are obtained.
机译:芯片上网络(NoC)映射问题属于二次分配问题,二次分配问题是经典的组合优化问题,已被证明是NP完全问题。本文研究了广泛使用的2D网格作为NoC拓扑,并对影响系统性能的重要因素进行了建模,包括功耗和延迟。然后使用改进的离散粒子群优化算法找到近似最优解。仿真实验表明,可以获得很好的最优结果。

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