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BibTeX records: Nouamane Laanait
@inproceedings{DBLP:conf/qce/HamiltonMPYZLCKBEFK23, author = {Kathleen E. Hamilton and Titus Morris and Raphael C. Pooser and K{\"{u}}bra Yeter{-}Aydeniz and Luning Zhao and Nouamane Laanait and Harrison Cooley and Muhun Kang and George Barron and Sophia E. Economou and Akhil Francis and Alexander F. Kemper}, editor = {Brian La Cour and Lia Yeh and Marek Osinski}, title = {Evaluating Robust Entanglement on a Trapped Ion Platform}, booktitle = {{IEEE} International Conference on Quantum Computing and Engineering, {QCE} 2023, Bellevue, WA, USA, September 17-22, 2023}, pages = {703--708}, publisher = {{IEEE}}, year = {2023}, url = {https://doi.org/10.1109/QCE57702.2023.00085}, doi = {10.1109/QCE57702.2023.00085}, timestamp = {Mon, 18 Dec 2023 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/qce/HamiltonMPYZLCKBEFK23.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nsdi/RomeroYLXYTSBSM22, author = {Joshua Romero and Junqi Yin and Nouamane Laanait and Bing Xie and M. Todd Young and Sean Treichler and Vitalii Starchenko and Albina Y. Borisevich and Alex Sergeev and Michael A. Matheson}, editor = {Amar Phanishayee and Vyas Sekar}, title = {Accelerating Collective Communication in Data Parallel Training across Deep Learning Frameworks}, booktitle = {19th {USENIX} Symposium on Networked Systems Design and Implementation, {NSDI} 2022, Renton, WA, USA, April 4-6, 2022}, pages = {1027--1040}, publisher = {{USENIX} Association}, year = {2022}, url = {https://www.usenix.org/conference/nsdi22/presentation/romero}, timestamp = {Wed, 06 Jul 2022 16:57:28 +0200}, biburl = {https://dblp.org/rec/conf/nsdi/RomeroYLXYTSBSM22.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/tjs/PasiniGYPL21, author = {Massimiliano Lupo Pasini and Vittorio Gabbi and Junqi Yin and Simona Perotto and Nouamane Laanait}, title = {Scalable balanced training of conditional generative adversarial neural networks on image data}, journal = {J. Supercomput.}, volume = {77}, number = {11}, pages = {13358--13384}, year = {2021}, url = {https://doi.org/10.1007/s11227-021-03808-2}, doi = {10.1007/S11227-021-03808-2}, timestamp = {Wed, 03 Nov 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/tjs/PasiniGYPL21.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-2102-10485, author = {Massimiliano Lupo Pasini and Vittorio Gabbi and Junqi Yin and Simona Perotto and Nouamane Laanait}, title = {Scalable Balanced Training of Conditional Generative Adversarial Neural Networks on Image Data}, journal = {CoRR}, volume = {abs/2102.10485}, year = {2021}, url = {https://arxiv.org/abs/2102.10485}, eprinttype = {arXiv}, eprint = {2102.10485}, timestamp = {Wed, 24 Feb 2021 00:00:00 +0100}, biburl = {https://dblp.org/rec/journals/corr/abs-2102-10485.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/smc2/Parete-KoonPGZD20, author = {Suzanne Parete{-}Koon and Peter F. Peterson and Garrett E. Granroth and Wenduo Zhou and Pravallika Devineni and Nouamane Laanait and Junqi Yin and Albina Y. Borisevich and Ketan Maheshwari and Melissa R. Allen{-}Dumas and Srinath Ravulaparthy and Kuldeep R. Kurte and Jibo Sanyal and Anne Berres and Olivera Kotevska and Folami Alamudun and Keith Gray and Max Grossman and Anar Yusifov and Ioana Danciu and Gil Alterovitz and Dasha Herrmannova}, editor = {Jeffrey Nichols and Becky Verastegui and Arthur Barney Maccabe and Oscar R. Hernandez and Suzanne Parete{-}Koon and Theresa Ahearn}, title = {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}, booktitle = {Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and {AI} - 17th Smoky Mountains Computational Sciences and Engineering Conference, {SMC} 2020, Oak Ridge, TN, USA, August 26-28, 2020, Revised Selected Papers}, series = {Communications in Computer and Information Science}, volume = {1315}, pages = {425--442}, publisher = {Springer}, year = {2020}, url = {https://doi.org/10.1007/978-3-030-63393-6\_28}, doi = {10.1007/978-3-030-63393-6\_28}, timestamp = {Mon, 05 Feb 2024 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/smc2/Parete-KoonPGZD20.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/ipps/YoginathARBLP19, author = {Srikanth B. Yoginath and Md. Maksudul Alam and Arvind Ramanathan and Debsindhu Bhowmik and Nouamane Laanait and Kalyan S. Perumalla}, title = {Towards Native Execution of Deep Learning on a Leadership-Class {HPC} System}, booktitle = {{IEEE} International Parallel and Distributed Processing Symposium Workshops, {IPDPSW} 2019, Rio de Janeiro, Brazil, May 20-24, 2019}, pages = {941--950}, publisher = {{IEEE}}, year = {2019}, url = {https://doi.org/10.1109/IPDPSW.2019.00160}, doi = {10.1109/IPDPSW.2019.00160}, timestamp = {Thu, 23 Jun 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/ipps/YoginathARBLP19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/sc/YinGLMMDS19, author = {Junqi Yin and Shubhankar Gahlot and Nouamane Laanait and Ketan Maheshwari and Jack Morrison and Sajal Dash and Mallikarjun Shankar}, title = {Strategies to Deploy and Scale Deep Learning on the Summit Supercomputer}, booktitle = {Third {IEEE/ACM} Workshop on Deep Learning on Supercomputers, DLS@SC 2019, Denver, CO, USA, November 17, 2019}, pages = {84--94}, publisher = {{IEEE}}, year = {2019}, url = {https://doi.org/10.1109/DLS49591.2019.00016}, doi = {10.1109/DLS49591.2019.00016}, timestamp = {Sun, 02 Oct 2022 01:00:00 +0200}, biburl = {https://dblp.org/rec/conf/sc/YinGLMMDS19.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1902-06876, author = {Nouamane Laanait and Qian He and Albina Y. Borisevich}, title = {Reconstruction of 3-D Atomic Distortions from Electron Microscopy with Deep Learning}, journal = {CoRR}, volume = {abs/1902.06876}, year = {2019}, url = {http://arxiv.org/abs/1902.06876}, eprinttype = {arXiv}, eprint = {1902.06876}, timestamp = {Tue, 21 May 2019 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1902-06876.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@article{DBLP:journals/corr/abs-1909-11150, author = {Nouamane Laanait and Joshua Romero and Junqi Yin and M. Todd Young and Sean Treichler and Vitalii Starchenko and Albina Y. Borisevich and Alex Sergeev and Michael A. Matheson}, title = {Exascale Deep Learning for Scientific Inverse Problems}, journal = {CoRR}, volume = {abs/1909.11150}, year = {2019}, url = {http://arxiv.org/abs/1909.11150}, eprinttype = {arXiv}, eprint = {1909.11150}, timestamp = {Fri, 30 Jul 2021 01:00:00 +0200}, biburl = {https://dblp.org/rec/journals/corr/abs-1909-11150.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
@inproceedings{DBLP:conf/nanocom/SchumanPRCWBL17, author = {Catherine D. Schuman and James S. Plank and Garrett S. Rose and Gangotree Chakma and Austin Wyer and Grant Bruer and Nouamane Laanait}, editor = {Alan Davy and John F. Federici}, title = {A programming framework for neuromorphic systems with emerging technologies}, booktitle = {Proceedings of the 4th {ACM} International Conference on Nanoscale Computing and Communication, {NANOCOM} 2017, Washington, DC, USA, September 27-29, 2017}, pages = {15:1--15:7}, publisher = {{ACM}}, year = {2017}, url = {https://doi.org/10.1145/3109453.3123958}, doi = {10.1145/3109453.3123958}, timestamp = {Wed, 14 Nov 2018 00:00:00 +0100}, biburl = {https://dblp.org/rec/conf/nanocom/SchumanPRCWBL17.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }
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