Efficient large-scale language model training on gpu clusters using megatron-lm D Narayanan, M Shoeybi, J Casper, P LeGresley, M Patwary, ... Proceedings of the international conference for high performance computing …, 2021 | 743 | 2021 |
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ... arXiv preprint arXiv:2201.11990, 2022 | 657 | 2022 |
Community-wide assessment of protein-interface modeling suggests improvements to design methodology SJ Fleishman, TA Whitehead, EM Strauch, JE Corn, S Qin, HX Zhou, ... Journal of molecular biology 414 (2), 289-302, 2011 | 158 | 2011 |
Fully differentiable coarse-grained and all-atom knowledge-based potentials for RNA structure evaluation J Bernauer, X Huang, AYL Sim, M Levitt Rna 17 (6), 1066-1075, 2011 | 111 | 2011 |
DiMoVo: a Voronoi tessellation-based method for discriminating crystallographic and biological protein–protein interactions J Bernauer, RP Bahadur, F Rodier, J Janin, A Poupon Bioinformatics 24 (5), 652-658, 2008 | 111 | 2008 |
A new protein–protein docking scoring function based on interface residue properties J Bernauer, J Azé, J Janin, A Poupon Bioinformatics 23 (5), 555-562, 2007 | 80 | 2007 |
Catalytic mechanism and structure of viral flavin-dependent thymidylate synthase ThyX S Graziani, J Bernauer, S Skouloubris, M Graille, CZ Zhou, C Marchand, ... Journal of Biological Chemistry 281 (33), 24048-24057, 2006 | 74 | 2006 |
Markov state models reveal a two-step mechanism of miRNA loading into the human argonaute protein: selective binding followed by structural re-arrangement H Jiang, FK Sheong, L Zhu, X Gao, J Bernauer, X Huang PLoS computational biology 11 (7), e1004404, 2015 | 63 | 2015 |
Digits: the deep learning gpu training system L Yeager, J Bernauer, A Gray, M Houston ICML 2015 AutoML Workshop, 1-4, 2015 | 44 | 2015 |
HalX: an open-source LIMS (Laboratory Information Management System) for small-to large-scale laboratories J Prilusky, E Oueillet, N Ulryck, A Pajon, J Bernauer, I Krimm, ... Biological Crystallography 61 (6), 671-678, 2005 | 41 | 2005 |
Multiscale modeling of macromolecular biosystems SC Flores, J Bernauer, S Shin, R Zhou, X Huang Briefings in bioinformatics 13 (4), 395-405, 2012 | 40 | 2012 |
Protein-RNA complexes and efficient automatic docking: expanding RosettaDock possibilities A Guilhot-Gaudeffroy, C Froidevaux, J Azé, J Bernauer PloS one 9 (9), e108928, 2014 | 36 | 2014 |
A collaborative filtering approach for protein-protein docking scoring functions T Bourquard, J Bernauer, J Azé, A Poupon PloS one 6 (4), e18541, 2011 | 36 | 2011 |
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model (2022) S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ... arXiv preprint arXiv:2201.11990, 0 | 31 | |
Characterizing RNA ensembles from NMR data with kinematic models R Fonseca, DV Pachov, J Bernauer, H van den Bedem Nucleic Acids Research 42 (15), 9562-9572, 2014 | 29 | 2014 |
GARN: Sampling RNA 3D structure space with game theory and knowledge-based scoring strategies M Boudard, J Bernauer, D Barth, J Cohen, A Denise PloS one 10 (8), e0136444, 2015 | 21 | 2015 |
Using deepspeed and megatron to train megatron-turing nlg 530b, a large-scale generative language model. arXiv S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ... arXiv preprint arXiv:2201.11990, 2022 | 20 | 2022 |
A docking analysis of the statistical physics of protein–protein recognition J Bernauer, A Poupon, J Azé, J Janin Physical Biology 2 (2), S17, 2005 | 20 | 2005 |
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B S Smith, M Patwary, B Norick, P LeGresley, S Rajbhandari, J Casper, ... A large-scale generative language model, 2022 | 17 | 2022 |
ESBTL: efficient PDB parser and data structure for the structural and geometric analysis of biological macromolecules S Loriot, F Cazals, J Bernauer Bioinformatics 26 (8), 1127-1128, 2010 | 17 | 2010 |