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Energy efficiency is one of the most critical issue in design of System onChip. In Network On Chip (NoC) based system, energy consumption is influenceddramatically by mapping of Intellectual Property (IP) which affect theperformance of the system. In this paper we test the antecedently extantproposed algorithms and introduced a new energy proficient algorithm stand for3D NoC architecture. In addition a hybrid method has also been implementedusing bioinspired optimization (particle swarm optimization) technique. Theproposed algorithm has been implemented and evaluated on randomly generatedbenchmark and real life application such as MMS, Telecom and VOPD. Thealgorithm has also been tested with the E3S benchmark and has been comparedwith the existing algorithm (spiral and crinkle) and has shown better reductionin the communication energy consumption and shows improvement in theperformance of the system. Comparing our work with spiral and crinkle,experimental result shows that the average reduction in communication energyconsumption is 19% with spiral and 17% with crinkle mapping algorithms, whilereduction in communication cost is 24% and 21% whereas reduction in latency isof 24% and 22% with spiral and crinkle. Optimizing our work and the existingmethods using bio-inspired technique and having the comparison among them anaverage energy reduction is found to be of 18% and 24%.

Energy and Latency Aware Application Mapping Algorithm & Optimization for Homogeneous 3D Network on Chip