在性能约束的前提下,为了降低能量消耗,针对一个集成了异构IP块以分层星型拓扑互连的片上网络(NoC),采用多电压电平操作,运用一种统一方法来解决应用映射问题,并用混合整数线性程序公式化问题,提出了基于随机舍入的NoC处理单元启发式高效应用映射——HAMU法.实验结果表明,HAMU法的效能明显优于其他启发式方法.
With the performance constraints,a unified approach is presented to reduce energy and solve the application-mapping problem on a heterogeneous network-on-chip(NoC) platform,which incorporates heterogeneous intellectual properties(IPs),is interconnected in a hierarchical star topology and operating at multiple voltage levels.Mixed Integer Linear Program is then used to formulate the problem.Finally,a randomized rounding based heuristic algorithm(HAMU) is proposed for energy efficient application mapping on NoC processing elements.Experimental results demonstrated that the HAMU approach is more efficient for application-mapping comparing with other heuristic algorithms.