2nd GSI/FAIR AI Workshop

PowerSched presents a proof of concept for deep reinforcement learning-based, price-aware capacity control in high-performance computing clusters, dynamically adjusting powered resources in response to fluctuating electricity prices and workload demand. Evaluations using realistic price and workload traces demonstrate that measurable cost savings can be achieved while maintaining complete job execution and introducing only small increases in waiting time.