KEYWORDS: Network on a chip, Optimization (mathematics), Computer simulations, Detection and tracking algorithms, Switches, Digital signal processing, Communication engineering, Virtual reality, Data processing, Berkelium
A novel method to optimize the number of virtual channel buffers is proposed in this paper. More precisely, given the application task graph of a specific application, an ACO (Ant Colony Optimization) algorithm is used during the mapping of tasks to the NoC (Network-on-Chip) such that the number of virtual channel buffers is minimized. The benefit of our method is evaluated by simulation and the simulation results show that our method can achieve 33% reduction in the number of virtual channel buffers compared to the state-of-art method.
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