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ORCIDDan Zhao 0007
Person information
- affiliation: New York University, NY, USA
- affiliation: Massachusetts Institute of Technology, Lincoln Laboratory, Cambridge, MA, USA
Other persons with the same name
- Dan Zhao — disambiguation page
- Danella Zhao (aka: Dan Zhao 0001) — Old Dominion University, Department of Computer Science, Norfolk, VA, USA (and 1 more)
- Dan Zhao 0002 — China Aerodynamics Research and Development Center, Computational Aerodynamics Institute, Mianyang, China (and 1 more)
- Dan Zhao 0003
![[0000-0001-9016-5594]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-9016-5594")
— Peng Cheng Laboratory, Department of Strategic and Advanced Interdisciplinary Research, Shenzhen, China (and 2 more) - Dan Zhao 0004 — Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China
- Dan Zhao 0005 — University of Science and Technology of China, Department of Electronic Engineering and Information Science, Hefei, China (and 1 more)
- Dan Zhao 0006 — Southeast University, School of Mathematics, Department of Systems Science, Nanjing, China (and 1 more)
- Dan Zhao 0008 — Northwestern Polytechnical University, School of Automation, Xi'an, China (and 1 more)
- Dan Zhao 0009 — Renmin University of China, School of Information, Key Laboratory of Data Engineering and Knowledge Engineering, Beijing, China
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2020 – today
- 2024
[i8]Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. CoRR abs/2402.18593 (2024)- [i7]Varshitha Chennamsetti, Laiba Mehnaz, Dan Zhao, Banani Ghosh, Sergey V. Samsonau:
Improvements & Evaluations on the MLCommons CloudMask Benchmark. CoRR abs/2403.04553 (2024) - [i6]Constantijn van der Poel, Dan Zhao:
Entangling Machine Learning with Quantum Tensor Networks. CoRR abs/2403.12969 (2024) - 2023
- [c6]Dan Zhao, Siddharth Samsi, Joseph McDonald, Baolin Li, David Bestor, Michael Jones, Devesh Tiwari, Vijay Gadepally:
Sustainable Supercomputing for AI: GPU Power Capping at HPC Scale. SoCC 2023: 588-596 - [c5]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. HPEC 2023: 1-9 - [i5]Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. CoRR abs/2301.11581 (2023) - [i4]Dan Zhao:
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks. CoRR abs/2306.00342 (2023) - [i3]Siddharth Samsi, Dan Zhao, Joseph McDonald, Baolin Li, Adam Michaleas, Michael Jones, William Bergeron, Jeremy Kepner, Devesh Tiwari, Vijay Gadepally:
From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference. CoRR abs/2310.03003 (2023) - 2022
- [c4]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. HPEC 2022: 1-8 - [c3]Dan Zhao, Nathan C. Frey, Vijay Gadepally, Siddharth Samsi:
Loss Curve Approximations for Fast Neural Architecture Ranking & Training Elasticity Estimation. IPDPS Workshops 2022: 715-723 - [c2]Nathan C. Frey, Dan Zhao, Simon Axelrod, Michael Jones, David Bestor, Vijay Gadepally, Rafael Gómez-Bombarelli, Siddharth Samsi:
Energy-aware neural architecture selection and hyperparameter optimization. IPDPS Workshops 2022: 732-741 - [c1]Dan Zhao, Nathan C. Frey, Joseph McDonald, Matthew Hubbell, David Bestor, Michael Jones, Andrew Prout, Vijay Gadepally, Siddharth Samsi:
A Green(er) World for A.I. IPDPS Workshops 2022: 742-750 - [i2]Nathan C. Frey, Baolin Li, Joseph McDonald, Dan Zhao, Michael Jones, David Bestor, Devesh Tiwari, Vijay Gadepally, Siddharth Samsi:
Benchmarking Resource Usage for Efficient Distributed Deep Learning. CoRR abs/2201.12423 (2022) - [i1]Kaira Samuel, Matthew LaRosa, Kyle McAlpin, Morgan Schaefer, Brandon Swenson, Devin Wasilefsky, Yan Wu, Dan Zhao, Jeremy Kepner:
AI Enabled Maneuver Identification via the Maneuver Identification Challenge. CoRR abs/2211.15552 (2022)
Coauthor Index
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