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; et al. (J. Open Source Softw., 2021)

An Empirical Deep Dive into Deep Learning's Driving Dynamics. - Charles Edison Tripp; Jordan Perr-Sauer; Lucas Hayne; Monte Lunacek (CoRR, 2022)

Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach. - Kevin Menear; Ambarish Nag; Jordan Perr-Sauer; Monte Lunacek; Kristi Potter; Dmitry Duplyakin (PEARC, 2023)

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)