Jordan Perr-Sauer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 4

Top Topics

Pattern Discovery

Resource Limitations

Top Venues

J. Open Source Softw.

Publications

Charles Edison Tripp, Jordan Perr-Sauer, Jamil Gafur, Ambarish Nag, Avi Purkayastha, Sagi Zisman, Erik A. Bensen
Measuring the Energy Consumption and Efficiency of Deep Neural Networks: An Empirical Analysis and Design Recommendations. CoRR (2024)
Kevin Menear, Ambarish Nag, Jordan Perr-Sauer, Monte Lunacek, Kristi Potter, Dmitry Duplyakin
Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach. PEARC (2023)
Charles Edison Tripp, Jordan Perr-Sauer, Lucas Hayne, Monte Lunacek
An Empirical Deep Dive into Deep Learning's Driving Dynamics. CoRR (2022)
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
OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms. J. Open Source Softw. 6 (58) (2021)