[HTML][HTML] Renewable-Aware Frequency Scaling Approach for Energy-Efficient Deep Learning Clusters
HG Park, DK Kang - Applied Sciences, 2024 - mdpi.com
Recently, renewable energy has emerged as an attractive means to reduce energy
consumption costs for deep learning (DL) job processing in modern GPU-based clusters. In …
consumption costs for deep learning (DL) job processing in modern GPU-based clusters. In …
Energy Time Fairness: Balancing Fair Allocation of Energy and Time for GPU Workloads
Traditionally, multi-tenant cloud and edge platforms use fair-share schedulers to fairly
multiplex resources across applications. These schedulers ensure applications receive …
multiplex resources across applications. These schedulers ensure applications receive …