Green Scheduling

Carbon footprint aware scheduling of compute jobs using advanced reinforcement learning algorithms.

Project Overview

In this project We aim to design algorithms for carbon and cost aware scheduling of computational jobs to reduce carbon emissions, and to integrate them into Slurm.

Project Members

  • Collaborators: Yevgeny Seldin(PI)
  • Raghavendra Selvan (Co-PI)
  • Laura Lindbjerg Skovbæk (PhD Candidate)