Vladimir V. Voevodin

Orcid: 0000-0001-6036-5106

Affiliations:
  • Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Research Computing Center, Russia


According to our database1, Vladimir V. Voevodin authored at least 37 papers between 1996 and 2024.

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Bibliography

2024
Neural Network Compression for Reinforcement Learning Tasks.
CoRR, 2024

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

VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture.
J. Supercomput., 2021

A Review of Supercomputer Performance Monitoring Systems.
Supercomput. Front. Innov., 2021

2020
Describing HPC System Architecture for Understanding Its Capabilities.
Proceedings of the Supercomputing, 2020

The Algorithms Properties and Structure Study as a Mandatory Element of Modern IT Education.
Proceedings of the Supercomputing, 2020

2019
Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community.
Supercomput. Front. Innov., 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

Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors.
Proceedings of the Parallel Computing Technologies, 2019

2018
AlgoWiki Project as an Extension of the Top500 Methodology.
Supercomput. Front. Innov., 2018

Developing Efficient Implementations of Bellman-Ford and Forward-Backward Graph Algorithms for NEC SX-ACE.
Supercomput. Front. Innov., 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

What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation?
Proceedings of the Topics in Parallel and Distributed Computing, 2018

2017
Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms.
Proceedings of the Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, 2017

JobDigest - Detailed System Monitoring-Based Supercomputer Application Behavior Analysis.
Proceedings of the Supercomputing, 2017

The Comparison of Large-Scale Graph Processing Algorithms Implementation Methods for Intel KNL and NVIDIA GPU.
Proceedings of the Supercomputing, 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 Processing Model for Cholesky Decomposition Algorithm in AlgoWiki Project.
Supercomput. Front. Innov., 2016

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

Research and Education in Computational Science and Engineering.
CoRR, 2016

A Study of the Dynamic Characteristics of Software Implementation as an Essential Part for a Universal Description of Algorithm Properties.
Proceedings of the 24th Euromicro International Conference on Parallel, 2016

Resolving frontier problems of mastering large-scale supercomputer complexes.
Proceedings of the ACM International Conference on Computing Frontiers, CF'16, 2016

2015
AlgoWiki: an Open Encyclopedia of Parallel Algorithmic Features.
Supercomput. Front. Innov., 2015

Evaluation of Docking Target Functions by the Comprehensive Investigation of Protein-Ligand Energy Minima.
Adv. Bioinformatics, 2015

An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model.
Proceedings of the Parallel Processing and Applied Mathematics, 2015

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

Distributed Modular Monitoring (DiMMon) Approach to Supercomputer Monitoring.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

2013
Capturing inter-application interference on clusters.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2012
The HOPSA Workflow and Tools.
Proceedings of the Tools for High Performance Computing 2012, 2012

1996
The V-ray Technology of Optimizing Programs to Parallel Computers.
Proceedings of the Numerical Analysis and Its Applications, First International Workshop, 1996

Application of the V-Ray Technology for Optimization of the TRFD and FL052 Perfect Club Benchmarks to CRAY Y-MP and CRAY T3D Supercomputers.
Proceedings of the 22rd EUROMICRO Conference '96, 1996


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