Application of the V-Ray Technology for Optimization of the TRFD and FL052 Perfect Club Benchmarks to CRAY Y-MP and CRAY T3D Supercomputers. - Alexander S. Antonov; Vladimir V. Voevodin (EUROMICRO, 1996)

The V-ray Technology of Optimizing Programs to Parallel Computers. - Valentin V. Voevodin; Vladimir V. Voevodin (WNAA, 1996)

The HOPSA Workflow and Tools. - Bernd Mohr; Vladimir V. Voevodin; Judit Giménez; Erik Hagersten; Andreas Knüpfer; Dmitry A. Nikitenko; Mats Nilsson; Harald Servat; Aamer Shah; Frank Winkler; Felix Wolf 001; Ilya Zhukov (Parallel Tools Workshop, 2012)

Capturing inter-application interference on clusters. - Aamer Shah; Felix Wolf 001; Sergey A. Zhumatiy; Vladimir V. Voevodin (CLUSTER, 2013)

Distributed Modular Monitoring (DiMMon) Approach to Supercomputer Monitoring. - Konstantin S. Stefanov; Vladimir V. Voevodin (CLUSTER, 2015)

Challenges of a Systematic Approach to Parallel Computing and Supercomputing Education. - Vladimir V. Voevodin; Victor Gergel; Nina Popova 001 (Euro-Par Workshops, 2015)

An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model. - Alexander S. Antonov; Dmitry A. Nikitenko; Pavel A. Shvets; Sergey I. Sobolev; Konstantin S. Stefanov; Vadim V. Voevodin; Vladimir V. Voevodin; Sergey A. Zhumatiy (PPAM (1), 2015)

Evaluation of Docking Target Functions by the Comprehensive Investigation of Protein-Ligand Energy Minima. - Igor Oferkin; Ekaterina V. Katkova; Alexey V. Sulimov; Danil C. Kutov; Sergey I. Sobolev; Vladimir V. Voevodin; Vladimir B. Sulimov (Adv. Bioinformatics, 2015)

AlgoWiki: an Open Encyclopedia of Parallel Algorithmic Features. - Vladimir V. Voevodin; Alexander S. Antonov; Jack J. Dongarra (Supercomput. Front. Innov., 2015)

Resolving frontier problems of mastering large-scale supercomputer complexes. - Dmitry A. Nikitenko; Vladimir V. Voevodin; Sergey A. Zhumatiy (Conf. Computing Frontiers, 2016)

A Study of the Dynamic Characteristics of Software Implementation as an Essential Part for a Universal Description of Algorithm Properties. - Alexander S. Antonov; Vadim V. Voevodin; Vladimir V. Voevodin; Alexey M. Teplov (PDP, 2016)

Research and Education in Computational Science and Engineering. - Ulrich Rüde; Karen Willcox; Lois Curfman McInnes; Hans De Sterck; George Biros; Hans-Joachim Bungartz; James Corones; Evin Cramer; James Crowley; Omar Ghattas; Max D. Gunzburger; Michael Hanke; et al. (CoRR, 2016)

Parallel workflow manager for non-parallel bioinformatic applications to solve large-scale biological problems on a supercomputer. - Dmitry A. Suplatov; Nina Popova 001; Sergey A. Zhumatiy; Vladimir V. Voevodin; Vytas K. Svedas (J. Bioinform. Comput. Biol., 2016)

Parallel Processing Model for Cholesky Decomposition Algorithm in AlgoWiki Project. - Alexander S. Antonov; Alexey V. Frolov; Hiroaki Kobayashi; Igor N. Konshin; Alexey M. Teplov; Vadim V. Voevodin; Vladimir V. Voevodin (Supercomput. Front. Innov., 2016)

Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data. - Maya G. Neytcheva; Sverker Holmgren; Jonathan R. Bull; Ali Dorostkar; Anastasia Kruchinina; Dmitry A. Nikitenko; Nina Popova 001; Pavel A. Shvets; Alexey M. Teplov; Vadim V. Voevodin; Vladimir V. Voevodin (PPAM (1), 2017)

The Comparison of Large-Scale Graph Processing Algorithms Implementation Methods for Intel KNL and NVIDIA GPU. - Ilya V. Afanasyev; Vladimir V. Voevodin (RuSCDays, 2017)

JobDigest - Detailed System Monitoring-Based Supercomputer Application Behavior Analysis. - Dmitry A. Nikitenko; Alexander S. Antonov; Pavel A. Shvets; Sergey I. Sobolev; Konstantin S. Stefanov; Vadim V. Voevodin; Vladimir V. Voevodin; Sergey A. Zhumatiy (RuSCDays, 2017)

Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms. - Vladimir V. Voevodin (TopHPC, 2017)

What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation? - Vladimir V. Voevodin; Alexander S. Antonov; Vadim V. Voevodin (Topics in Parallel and Distributed Computing, 2018)

Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education. - Vladimir V. Voevodin; Alexander S. Antonov; Nina Popova 001 (Euro-Par Workshops, 2018)

Mustguseal: a server for multiple structure-guided sequence alignment of protein families. - Dmitry A. Suplatov; Kirill E. Kopylov; Nina N. Popova; Vladimir V. Voevodin; Vytas K. Svedas (Bioinform., 2018)

Computational science and HPC education for graduate students: Paving the way to exascale. - Alexander S. Antonov; Nina Popova 001; Vladimir V. Voevodin (J. Parallel Distributed Comput., 2018)

Developing Efficient Implementations of Bellman-Ford and Forward-Backward Graph Algorithms for NEC SX-ACE. - Ilya V. Afanasyev; Alexander S. Antonov; Dmitry A. Nikitenko; Vadim V. Voevodin; Vladimir V. Voevodin; Kazuhiko Komatsu; Osamu Watanabe; Akihiro Musa; Hiroaki Kobayashi (Supercomput. Front. Innov., 2018)

AlgoWiki Project as an Extension of the Top500 Methodology. - Alexander S. Antonov; Jack J. Dongarra; Vladimir V. Voevodin (Supercomput. Front. Innov., 2018)

Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors. - Ilya V. Afanasyev; Vadim V. Voevodin; Vladimir V. Voevodin; Kazuhiko Komatsu; Hiroaki Kobayashi (PaCT, 2019)

An Experimental Study of Deep Neural Networks on HPC Clusters. - Dmitry Buryak; Nina N. Popova; Vladimir V. Voevodin; Yuri Konkov; Oleg Ivanov; Denis Shaykhlislamov; Ilya D. Fateev (RuSCDays, 2019)

High-Performance Hybrid Computing for Bioinformatic Analysis of Protein Superfamilies. - Dmitry A. Suplatov; Yana A. Sharapova; Maksim V. Shegay; Nina N. Popova; Kateryna Fesko; Vladimir V. Voevodin; Vytas K. Svedas (RuSCDays, 2019)

parMATT: parallel multiple alignment of protein 3D-structures with translations and twists for distributed-memory systems. - Maksim V. Shegay; Dmitry A. Suplatov; Nina N. Popova; Vytas K. Svedas; Vladimir V. Voevodin (Bioinform., 2019)

Infrastructure of Supercomputing Technologies. - Vladimir V. Voevodin; Nina N. Popova (Program. Comput. Softw., 2019)

Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community. - Vladimir V. Voevodin; Alexander S. Antonov; Dmitry A. Nikitenko; Pavel A. Shvets; Sergey I. Sobolev; Igor Yu. Sidorov; Konstantin S. Stefanov; Vadim V. Voevodin; Sergey A. Zhumatiy (Supercomput. Front. Innov., 2019)

The Algorithms Properties and Structure Study as a Mandatory Element of Modern IT Education. - Alexander S. Antonov; Vladimir V. Voevodin (RuSCDays, 2020)

Describing HPC System Architecture for Understanding Its Capabilities. - Dmitry A. Nikitenko; Alexander S. Antonov; Artem Zheltkov; Vladimir V. Voevodin (RuSCDays, 2020)

A Review of Supercomputer Performance Monitoring Systems. - Konstantin S. Stefanov; Sucheta Pawar; Ashish Ranjan; Sanjay Wandhekar; Vladimir V. Voevodin (Supercomput. Front. Innov., 2021)

VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture. - Ilya V. Afanasyev; Vladimir V. Voevodin; Kazuhiko Komatsu; Hiroaki Kobayashi (J. Supercomput., 2021)

Co-designing HPC-systems by computing capabilities and management flexibility to accommodate bioinformatic workflows at different complexity levels. - Dmitry A. Suplatov; Maksim V. Shegay; Yana A. Sharapova; Ivan V. Timokhin; Nina Popova 001; Vladimir V. Voevodin; Vytas K. Svedas (J. Supercomput., 2021)

Guide tree optimization with genetic algorithm to improve multiple protein 3D-structure alignment. - Maksim V. Shegay; Vytas K. Svedas; Vladimir V. Voevodin; Dmitry A. Suplatov; Nina N. Popova (Bioinform., 2022)

Neural Network Compression for Reinforcement Learning Tasks. - Dmitry A. Ivanov; Denis A. Larionov; Oleg V. Maslennikov; Vladimir V. Voevodin (CoRR, 2024)