  By lowering the number of vertical connections in fully connected 3D
networks-on-chip (NoCs), partially connected 3D NoCs (PC-3DNoCs) help alleviate
reliability and fabrication issues. This paper proposes a novel, adaptive
congestion- and energy-aware elevator-selection scheme called AdEle to improve
the traffic distribution in PC-3DNoCs. AdEle employs an offline multi-objective
simulated-annealing-based algorithm to find good elevator subsets and an online
elevator selection policy to enhance elevator selection during routing.
Compared to the state-of-the-art techniques under different real-application
traffics and configuration scenarios, AdEle improves the network latency by
14.9% on average (up to 21.4%) with less than 10.5% energy consumption
overhead.
