Researchers from AMD released “CompPow: A Case for Component-level GPU Power Management”.
Abstract
“The ever increasing demand for ML-driven intelligence in a wide spectrum of domains has led to ubiquity of GPUs. At the same time, GPUs are notorious for their power consumption needs and often dominate power allocation in a typical ML datacenter. While datacenter-level power optimizations which focus on collection of GPUs are promising, in this work, we take a different tack — namely, we take a closer look at power consumption inside a GPU. Specifically, as modern GPUs are comprised of integrated components, we make a case for component-awareness, termed CompPow in this work, for improved power management in modern GPUs. We demonstrate for a variety of ML operations and execution patterns, CompPow has the potential to deliver higher energy efficiency (10%) and even improved performance (5%). We conclude with recommendations on how component-aware software-hardware co-design can extract additional energy efficiency from modern GPUs.”
Find the technical paper here. May 2026.
Citation: Aga, Shaizeen, and Mohamed Assem Ibrahim. “CompPow: A Case for Component-level GPU Power Management.” arXiv:2605.21847, May 2026. https://doi.org/10.48550/arXiv.2605.21847.