A Study on Power and Energy Measurement of NVIDIA Jetson Embedded GPUs Using Built-in Sensor
Busra Aslan, Ayse Yılmazer
Abstract
Artificial intelligence (AI) has been shifted to the embedded devices known as edge devices. Component-level power is very important for the design and optimization of applications on edge devices to estimate energy consumption. Thus, accurate power measurements are needed for battery-powered systems. However, it is not straightforward. Because the behavior of a GPU is rather complex and not well documented. In this work, we report challenges getting power measurements using the built-in power sensor for an NVIDIA Jetson GPU device. We provide a method for true power and energy measurements of the kernels running on NVIDIA Jetson family GPUs.
Topics & Concepts
Computer sciencePower (physics)Energy (signal processing)Energy consumptionEnhanced Data Rates for GSM EvolutionCUDAEfficient energy useEmbedded systemElectrical engineeringParallel computingEngineeringArtificial intelligencePhysicsQuantum mechanicsGreen IT and SustainabilityIoT and Edge/Fog ComputingParallel Computing and Optimization Techniques