Nina N. Popova

Affiliations:
  • Moscow State University, Faculty of Computational Mathematics and Cybernetics, Russia


According to our database1, Nina N. Popova authored at least 16 papers between 2007 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Guide tree optimization with genetic algorithm to improve multiple protein 3D-structure alignment.
Bioinform., 2022

2021
Co-designing HPC-systems by computing capabilities and management flexibility to accommodate bioinformatic workflows at different complexity levels.
J. Supercomput., 2021

2020
Tuning ANNs Hyperparameters and Neural Architecture Search Using HPC.
Proceedings of the Supercomputing, 2020

2019
Infrastructure of Supercomputing Technologies.
Program. Comput. Softw., 2019

parMATT: parallel multiple alignment of protein 3D-structures with translations and twists for distributed-memory systems.
Bioinform., 2019

High-Performance Hybrid Computing for Bioinformatic Analysis of Protein Superfamilies.
Proceedings of the Supercomputing, 2019

An Experimental Study of Deep Neural Networks on HPC Clusters.
Proceedings of the Supercomputing, 2019

2018
Computational science and HPC education for graduate students: Paving the way to exascale.
J. Parallel Distributed Comput., 2018

Mustguseal: a server for multiple structure-guided sequence alignment of protein families.
Bioinform., 2018

Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education.
Proceedings of the Euro-Par 2018: Parallel Processing Workshops, 2018

2017
Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

2016
Parallel workflow manager for non-parallel bioinformatic applications to solve large-scale biological problems on a supercomputer.
J. Bioinform. Comput. Biol., 2016

2015
Challenges of a Systematic Approach to Parallel Computing and Supercomputing Education.
Proceedings of the Euro-Par 2015: Parallel Processing Workshops, 2015

2009
Automatic Performance Tuning Approach for Parallel Applications Based on Sparse Linear Solvers.
Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

Hierarchical Visualization System for High Performance Computing.
Proceedings of the Parallel Computing: From Multicores and GPU's to Petascale, 2009

2007
A heuristic particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2007


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