An Energy-and Delay-aware Mapping Method of NoC

With the research on the NoC deeper and deeper,it becomes a stringent task to map a complex application onto an appointed NoC platform efficiently.Based on 2-D mesh NoC platform,this paper sets up a united object function in order to optimize communication energy and execution time.It is also proposed that the delay can be optimized indirectly by means of optimizing distribution of link load,which can avoid the difficulty to model waiting time in NoC accurately.Ant colony algorithm is used to realize the energy-and delay-aware NoC mapping.Single object(energy/delay) or collaborate object can be selected to optimize the mapping by modifying parameter λ.Furthermore,the optimized solutions are simulated on NoC platform finally.Experimental results show single object optimization mapping can reduce communication energy and execution time by(30%～47%) and(20%～39%) respectively compared with random mapping.And collaborate object optimization mapping can provide a seductive tradeoff between energy and execution time.