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2022-061 - GCNScheduler: Complex Task Scheduling with Graph Convolutional Networks

Distributed computing Edge-cloud processing Astronomical observation processing Abstract USC researchers present GCNScheduler, a scheduler employing graph convolutional networks (GCNs) that can rapidly and efficiently schedule tasks of complex applications for a given objective. The technique integrates an inter-task data dependency structure with...

Published: 2/3/2026 Inventor(s): Bhaskar Krishnamachari, Mehrdad Kiamari
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