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We therefore introduce a new scheduler that we denote Communication Aware Adaptive Parareal (CAAP).
Last, a communication aware mapping is proposed to reduce the network communication and synchronization overhead.
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Then a communication-aware formation control is proposed for multi-agent systems with switching topology.
Communication-aware job allocation methods exist, but they focus solely on performance and do not consider cooling energy.
Initially, a communication-aware route selection strategy selects the optimal route by integrating the routing decisions with the link quality.
When communication-aware route selection is complete, position-aware optimization (PAO) is called to perform route reconfiguration and throughput optimization.
These differences can be exploited to perform a communication-aware mapping of parallel applications to the hardware topology, improving their performance and energy efficiency.
The implemented version in our problem utilizes an ordinary array, and the computational complexity for communication-aware route selection using an ordinary array is O N2).
The initial position will be the position of the mobile router after the optimal route has been identified using the communication-aware route selection algorithm.
In case of communication-aware route selection, the cost of edge is equal to the negative logarithm of its respective RP.
The COMPARE framework is comprised of three main components, i.e., communication-aware route selection, link quality estimation, and position-aware optimization.
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