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Tongling University
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Physics-aware constraints in a neural operator can drastically enhance the accuracy of temperature field predictions in fusion devices, outperforming conventional methods.
LLM serving can get a 34% boost in end-to-end SLO attainment by intelligently scheduling prefill and decode requests based on urgency and slack.
