Benchmarking Resource Usage for Efficient Distributed Deep Learning. - Nathan C. Frey; Baolin Li; Joseph McDonald; Dan Zhao 007; Michael Jones 001; David Bestor; Devesh Tiwari; Vijay Gadepally; Siddharth Samsi (HPEC, 2022)

Energy-aware neural architecture selection and hyperparameter optimization. - Nathan C. Frey; Dan Zhao 007; Simon Axelrod; Michael Jones 001; David Bestor; Vijay Gadepally; Rafael Gómez-Bombarelli; Siddharth Samsi (IPDPS Workshops, 2022)

Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation. - Dan Zhao 007; Nathan C. Frey; Vijay Gadepally; Siddharth Samsi (IPDPS Workshops, 2022)

A Green(er) World for A.I. - Dan Zhao 007; Nathan C. Frey; Joseph McDonald; Matthew Hubbell; David Bestor; Michael Jones 001; Andrew Prout; Vijay Gadepally; Siddharth Samsi (IPDPS Workshops, 2022)

AI Enabled Maneuver Identification via the Maneuver Identification Challenge. - Kaira Samuel; Matthew LaRosa; Kyle McAlpin; Morgan Schaefer; Brandon Swenson; Devin Wasilefsky; Yan Wu; Dan Zhao 007; Jeremy Kepner (CoRR, 2022)

Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. - Dan Zhao 007; Siddharth Samsi; Joseph McDonald; Baolin Li; David Bestor; Michael Jones 001; Devesh Tiwari; Vijay Gadepally (SoCC, 2023)

From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. - Siddharth Samsi; Dan Zhao 007; Joseph McDonald; Baolin Li; Adam Michaleas; Michael Jones 001; William Bergeron; Jeremy Kepner; Devesh Tiwari; Vijay Gadepally (HPEC, 2023)

Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks. - Dan Zhao 007 (CoRR, 2023)

Improvements & Evaluations on the MLCommons CloudMask Benchmark. - Varshitha Chennamsetti; Laiba Mehnaz; Dan Zhao 007; Banani Ghosh; Sergey V. Samsonau (CoRR, 2024)

Entangling Machine Learning with Quantum Tensor Networks. - Constantijn van der Poel; Dan Zhao 007 (CoRR, 2024)