Jie Ren

VERA: Reinforcement Learning for Dynamic Memory Scaling of HPC Workloads in Kubernetes

Memory over-provisioning results in resource underutilization when HPC workloads run on Kubernetes. The default Vertical Pod Autoscaler (VPA) cannot anticipate phase-driven memory spikes for first-run HPC jobs. In this work, we present a reinforcement learning (RL) recommender VERA that formulates vertical memory scali...