"MAGUS: Memory-Throughput-Based Uncore Frequency Scaling on Heterogeneous Systems (poster)"

MAGUS: Memory-Throughput-Based Uncore Frequency Scaling on Heterogeneous Systems (poster)

Zheng, Z., Sultanov, S., Papka, M. E., Lan, Z.

• Publication: Chicago, IL
• Link: https://gcasr.org/2025/posters
• PDF: zhong_zheng_magus.pdf

Prior uncore frequency tuning studies have primarily focused on conventional HPC workloads running on CPU-only systems. As HPC advances toward heterogeneous computing, integrating diverse GPU workloads on heterogeneous CPU-GPU systems, it becomes imperative to revisit and enhance uncore scaling. Our investigation reveals that uncore frequency scales down only when CPU power approaches its TDP (Thermal Design Power) – a rare scenario in GPU-dominant applications – resulting in unnecessary power waste in modern computing systems.