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Nina N. Popova
Person information
- affiliation: Moscow State University, Faculty of Computational Mathematics and Cybernetics, Russia
Other persons with the same name
- Nina Popova 0002
(aka: Nina V. Popova) — Peter the Great St. Petersburg Polytechnic University, Russia
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2020 – today
- 2022
- [j7]Maksim V. Shegay, Vytas K. Svedas, Vladimir V. Voevodin, Dmitry A. Suplatov
Guide tree optimization with genetic algorithm to improve multiple protein 3D-structure alignment. Bioinform. 38(4): 985-989 (2022) - 2021
- [j6]Dmitry A. Suplatov
Co-designing HPC-systems by computing capabilities and management flexibility to accommodate bioinformatic workflows at different complexity levels. J. Supercomput. 77(11): 12382-12398 (2021) - 2020
- [c9]Kamil Khamitov, Nina Popova, Yuri Konkov, Tony Castillo:
Tuning ANNs Hyperparameters and Neural Architecture Search Using HPC. RuSCDays 2020: 536-548
2010 – 2019
- 2019
- [j5]Maksim V. Shegay, Dmitry A. Suplatov
parMATT: parallel multiple alignment of protein 3D-structures with translations and twists for distributed-memory systems. Bioinform. 35(21): 4456-4458 (2019) - [j4]Vladimir V. Voevodin, Nina N. Popova:
Infrastructure of Supercomputing Technologies. Program. Comput. Softw. 45(3): 89-95 (2019) - [c8]Dmitry A. Suplatov, Yana A. Sharapova
High-Performance Hybrid Computing for Bioinformatic Analysis of Protein Superfamilies. RuSCDays 2019: 249-264 - [c7]Dmitry Buryak, Nina N. Popova, Vladimir V. Voevodin, Yuri Konkov, Oleg Ivanov, Denis Shaykhlislamov, Ilya D. Fateev:
An Experimental Study of Deep Neural Networks on HPC Clusters. RuSCDays 2019: 489-504 - 2018
- [j3]Dmitry A. Suplatov
Mustguseal: a server for multiple structure-guided sequence alignment of protein families. Bioinform. 34(9): 1583-1585 (2018) - [j2]Alexander S. Antonov
Computational science and HPC education for graduate students: Paving the way to exascale. J. Parallel Distributed Comput. 118(Part): 157-165 (2018) - [c6]Vladimir V. Voevodin, Alexander S. Antonov
Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education. Euro-Par Workshops 2018: 199-210 - 2017
- [c5]Maya G. Neytcheva, Sverker Holmgren, Jonathan R. Bull
Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data. PPAM (1) 2017: 417-431 - 2016
- [j1]Dmitry A. Suplatov, Nina Popova, Sergey A. Zhumatiy, Vladimir V. Voevodin
Parallel workflow manager for non-parallel bioinformatic applications to solve large-scale biological problems on a supercomputer. J. Bioinform. Comput. Biol. 14(2): 1641008:1-1641008:15 (2016) - 2015
- [c4]Vladimir V. Voevodin
Challenges of a Systematic Approach to Parallel Computing and Supercomputing Education. Euro-Par Workshops 2015: 90-101
2000 – 2009
- 2009
- [c3]Oxana Dzhosan, Nina Popova, Anton Korzh:
Hierarchical Visualization System for High Performance Computing. PARCO 2009: 177-184 - [c2]Vasiliy Yu. Voronov, Nina N. Popova:
Automatic Performance Tuning Approach for Parallel Applications Based on Sparse Linear Solvers. PARCO 2009: 415-422 - 2007
- [c1]Hoang Thanh Lam, Nina Nicolaevna Popova, Quan Thoi Minh Nguyen:
A heuristic particle swarm optimization. GECCO 2007: 174
Coauthor Index
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