no code implementations • 13 Mar 2024 • Charles Edison Tripp, Jordan Perr-Sauer, Jamil Gafur, Amabarish Nag, Avi Purkayastha, Sagi Zisman, Erik A. Bensen
Addressing the so-called ``Red-AI'' trend of rising energy consumption by large-scale neural networks, this study investigates the actual energy consumption, as measured by node-level watt-meters, of training various fully connected neural network architectures.
1 code implementation • 25 Jul 2022 • Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek, Jamil Gafur
We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks.
