CarbonShift
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Related Articles from SNS
Night-Window Batching versus Carbon-Aware Scheduling for Clinical AI GPU Workloads
arXiv:2606.01766v1 Announce Type: new Abstract: Hospitals run more machine learning on GPUs while the carbon footprint of grid electricity rises and falls through the day. Using a computer simulation, we compare $13$ scheduling rules on mixed GPU hardware, with synthetic patient-style jobs, urgency tiers, and time-of-day carbon traces. We do not study patient outcomes; every percentage we report is a simulator queue number, not a clinical finding.