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2020 – today
- 2023
[c6]Kathleen E. Hamilton, Titus Morris
, Raphael C. Pooser, Kübra Yeter-Aydeniz, Luning Zhao, Nouamane Laanait, Harrison Cooley, Muhun Kang, George Barron, Sophia E. Economou, Akhil Francis, Alexander F. Kemper:
Evaluating Robust Entanglement on a Trapped Ion Platform. QCE 2023: 703-708- 2022
- [c5]Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson:
Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks. NSDI 2022: 1027-1040 - 2021
- [j1]Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait:
Scalable balanced training of conditional generative adversarial neural networks on image data. J. Supercomput. 77(11): 13358-13384 (2021) - [i3]Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait:
Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data. CoRR abs/2102.10485 (2021) - 2020
- [c4]Suzanne Parete-Koon, Peter F. Peterson, Garrett E. Granroth, Wenduo Zhou, Pravallika Devineni, Nouamane Laanait, Junqi Yin, Albina Y. Borisevich, Ketan Maheshwari, Melissa R. Allen-Dumas, Srinath Ravulaparthy, Kuldeep R. Kurte, Jibo Sanyal, Anne Berres, Olivera Kotevska, Folami Alamudun, Keith Gray, Max Grossman, Anar Yusifov, Ioana Danciu, Gil Alterovitz, Dasha Herrmannova:
Smoky Mountain Data Challenge 2020: An Open Call to Solve Data Problems in the Areas of Neutron Science, Material Science, Urban Modeling and Dynamics, Geophysics, and Biomedical Informatics. SMC 2020: 425-442
2010 – 2019
- 2019
- [c3]Srikanth B. Yoginath, Md. Maksudul Alam, Arvind Ramanathan, Debsindhu Bhowmik, Nouamane Laanait, Kalyan S. Perumalla:
Towards Native Execution of Deep Learning on a Leadership-Class HPC System. IPDPS Workshops 2019: 941-950 - [c2]Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar:
Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer. DLS@SC 2019: 84-94 - [i2]Nouamane Laanait, Qian He, Albina Y. Borisevich:
Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning. CoRR abs/1902.06876 (2019) - [i1]Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson:
Exascale Deep Learning for Scientific Inverse Problems. CoRR abs/1909.11150 (2019) - 2017
- [c1]Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait:
A programming framework for neuromorphic systems with emerging technologies. NANOCOM 2017: 15:1-15:7
Coauthor Index
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