  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
10.9% on average (up to 14.6%) with less than 6.9% energy consumption overhead.
