Oct 19, 2023 · In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in ...

In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in power ...

Aug 7, 2024 · In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in ...

Jun 10, 2024 · This study results in the creation of three extensive energy datasets for edge devices, covering a wide range of kernels, state-of-the-art DNN ...

ABSTRACT. Today, deep learning optimization is primarily driven by research focused on achieving high inference accuracy and reducing latency.

In this paper, we conduct a threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in power.

A threefold study, including energy measurement, prediction, and efficiency scoring, with an objective to foster transparency in power and energy ...

This study results in the creation of three extensive energy datasets for edge devices, covering a wide range of kernels, state-of-the-art DNN models, and ...

Jun 10, 2024 · Measuring, predicting, and scoring the energy efficiency of deep learning models on edge devices pose several challenges. Edge devices often ...

Missing: Edge Devices.