Dan Zhao

14 papers Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Entangling Machine Learning with Quantum Tensor Networks.
CoRR
Constantijn van der Poel, Dan Zhao
2024 J jnl
Improvements & Evaluations on the MLCommons CloudMask Benchmark.
CoRR
Varshitha Chennamsetti, Laiba Mehnaz, Dan Zhao, Banani Ghosh, Sergey V. Samsonau
2024 J jnl
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
CoRR
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2023 J jnl
A Green(er) World for A.I.
CoRR
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
2023 J jnl
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks.
CoRR
Dan Zhao
2023 — conf
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
HPEC
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 J jnl
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference.
CoRR
Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally
2023 — conf
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale.
SoCC
Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally
2022 — conf
A Green(er) World for A.I.
IPDPS Workshops
Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi
2022 J jnl
AI Enabled Maneuver Identification via the Maneuver Identification Challenge.
CoRR
Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner
2022 — conf
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
HPEC
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 J jnl
Benchmarking Resource Usage for Efficient Distributed Deep Learning.
CoRR
Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi
2022 — conf
Energy-aware neural architecture selection and hyperparameter optimization.
IPDPS Workshops
Nathan C. Frey, Dan Zhao, Simon Axelrod, Michael Jones, David Bestor, Vijay Gadepally, Rafael Gómez-Bombarelli, Siddharth Samsi
2022 — conf
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation.
IPDPS Workshops
Dan Zhao, Nathan C. Frey, Vijay Gadepally, Siddharth Samsi