Jordan Perr-Sauer

According to our database, Jordan Perr-Sauer authored at least 4 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations.

Charles Edison Tripp, Jordan Perr-Sauer, Jamil Gafur, Ambarish Nag, Avi Purkayastha, Sagi Zisman, Erik A. Bensen

CoRR, 2024

2023

Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach.

Kevin Menear, Ambarish Nag, Jordan Perr-Sauer, Monte Lunacek, Kristi Potter, Dmitry Duplyakin

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

2022

An Empirical Deep Dive into Deep Learning's Driving Dynamics.

Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek

CoRR, 2022

2021

OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms.

Jordan Perr-Sauer, Mike Optis, Jason M. Fields, Nicola Bodini, Joseph C. y. Lee, Austin Todd, Eric Simley, Robert Hammond, Caleb Phillips, Monte Lunacek, Travis W. Kemper, Lindy Williams, Anna Craig, Nathan Agarwal, Shawn Sheng, John Meissner

J. Open Source Softw., 2021