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

May 8th, 2025

Categories: Supercomputing, Data Science, High Performance Computing

Authors

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

About

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.

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Citation

Zheng, Z., Sultanov, S., Papka, M. E., Lan, Z., MAGUS: Memory-Throughput-Based Uncore Frequency Scaling on Heterogeneous Systems (poster), The 12th Greater Chicago Area Systems Research Workshop (GCASR), Chicago, IL, May 8th, 2025. https://gcasr.org/2025/posters