Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform ...

Abstract: Heterogeneous multicore systems, such as ARM's big.LITTLE architecture requires efficient task scheduling to balance deadline misses, energy consumption, and throughput. Traditional methods ...

As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...

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first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Abstract: This paper addresses the data-locality-aware task assignment and scheduling problem for distributed job executions. Our goal is to minimize job completion times without prior knowledge of ...