Nouamane Laanait

According to our database, Nouamane Laanait authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Evaluating Robust Entanglement on a Trapped Ion Platform.

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

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks.

Joshua Romero, Junqi Yin, Nouamane Laanait, Bing Xie, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

2021

Scalable balanced training of conditional generative adversarial neural networks on image data.

Massimiliano Lupo Pasini, Vittorio Gabbi, Junqi Yin, Simona Perotto, Nouamane Laanait

J. Supercomput., 2021

2020

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.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

2019

Exascale Deep Learning for Scientific Inverse Problems.

Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Y. Borisevich, Alex Sergeev, Michael A. Matheson

CoRR, 2019

Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning.

Nouamane Laanait, Qian He, Albina Y. Borisevich

CoRR, 2019

Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer.

Junqi Yin, Shubhankar Gahlot, Nouamane Laanait, Ketan Maheshwari, Jack Morrison, Sajal Dash, Mallikarjun Shankar

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

Towards Native Execution of Deep Learning on a Leadership-Class HPC System.

Srikanth B. Yoginath, Md. Maksudul Alam, Arvind Ramanathan, Debsindhu Bhowmik, Nouamane Laanait, Kalyan S. Perumalla

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

2017

A programming framework for neuromorphic systems with emerging technologies.

Catherine D. Schuman, James S. Plank, Garrett S. Rose, Gangotree Chakma, Austin Wyer, Grant Bruer, Nouamane Laanait

Proceedings of the 4th ACM International Conference on Nanoscale Computing and Communication, 2017