A Reinforcement Learning Approach for Performance-aware Reduction in Power Consumption of Data Center Compute Nodes

1 code implementation • 15 Aug 2023 • Akhilesh Raj, Swann Perarnau, Aniruddha Gokhale

Employing a Proximal Policy Optimization (PPO) agent to learn an optimal policy on a mathematical model of the compute nodes, we demonstrate and evaluate using the STREAM benchmark how a trained agent running on actual hardware can take actions by balancing power consumption and application performance.

Management Reinforcement Learning (RL)