Uncovering Detailed Power Characterizations of GPUs on Edge Platforms

GPUs in edge platforms operate on a tight energy budget.Although power characterization of server GPUs has been studied, there has been a lack of systematic study of the power and thermal characteristics of edge GPUs.In this paper, we provide a detailed characterization of the power, energy, and temperature of edge GPUs by designing micro-kernels for instruction-level power analysis and executing a real-world application for application-level power characterization.From the observations, we discuss the limitations of existing power simulators and also suggest power optimization methods.

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Publication Details

Published
2025-03-01
DOI
https://doi.org/10.1145/3725798.3725806
Citations
2
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
4.54
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article

Uncovering Detailed Power Characterizations of GPUs on Edge Platforms

K.K. Chau, Hyeran Jeon, Mujahid Al Rafi
2 citations
Parallel Computing and Optimization Techniques
4.54
article

Uncovering Detailed Power Characterizations of GPUs on Edge Platforms

K.K. Chau, Hyeran Jeon, Mujahid Al Rafi
article en
2 citations

Abstract

GPUs in edge platforms operate on a tight energy budget.Although power characterization of server GPUs has been studied, there has been a lack of systematic study of the power and thermal characteristics of edge GPUs.In this paper, we provide a detailed characterization of the power, energy, and temperature of edge GPUs by designing micro-kernels for instruction-level power analysis and executing a real-world application for application-level power characterization.From the observations, we discuss the limitations of existing power simulators and also suggest power optimization methods.

University of California, Merced (US)
Affordable and clean energy
Openalex Percentile: Top 7%
Parallel Computing and Optimization Techniques
4.54
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