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ORCIDVladimir V. Voevodin
Person information
- affiliation: Lomonosov Moscow State University, Faculty of Computational Mathematics and Cybernetics, Research Computing Center, Russia
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Journal Articles
- 2022
[j15]Maksim V. Shegay, Vytas K. Svedas, Vladimir V. Voevodin, Dmitry A. Suplatov
, Nina N. Popova:
Guide tree optimization with genetic algorithm to improve multiple protein 3D-structure alignment. Bioinform. 38(4): 985-989 (2022)- 2021
- [j14]Konstantin S. Stefanov, Sucheta Pawar, Ashish Ranjan, Sanjay Wandhekar, Vladimir V. Voevodin:
A Review of Supercomputer Performance Monitoring Systems. Supercomput. Front. Innov. 8(3): 62-81 (2021) - [j13]Ilya V. Afanasyev, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi:
VGL: a high-performance graph processing framework for the NEC SX-Aurora TSUBASA vector architecture. J. Supercomput. 77(8): 8694-8715 (2021) - [j12]Dmitry A. Suplatov, Maksim V. Shegay, Yana A. Sharapova, Ivan V. Timokhin, Nina Popova, Vladimir V. Voevodin, Vytas K. Svedas:
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) - 2019
- [j11]Maksim V. Shegay, Dmitry A. Suplatov, Nina N. Popova, Vytas K. Svedas, Vladimir V. Voevodin:
parMATT: parallel multiple alignment of protein 3D-structures with translations and twists for distributed-memory systems. Bioinform. 35(21): 4456-4458 (2019) - [j10]Vladimir V. Voevodin, Nina N. Popova:
Infrastructure of Supercomputing Technologies. Program. Comput. Softw. 45(3): 89-95 (2019) - [j9]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:
Supercomputer Lomonosov-2: Large Scale, Deep Monitoring and Fine Analytics for the User Community. Supercomput. Front. Innov. 6(2): 4-11 (2019) - 2018
- [j8]Dmitry A. Suplatov, Kirill E. Kopylov, Nina N. Popova, Vladimir V. Voevodin, Vytas K. Svedas:
Mustguseal: a server for multiple structure-guided sequence alignment of protein families. Bioinform. 34(9): 1583-1585 (2018) - [j7]Alexander S. Antonov, Nina Popova, Vladimir V. Voevodin:
Computational science and HPC education for graduate students: Paving the way to exascale. J. Parallel Distributed Comput. 118(Part): 157-165 (2018) - [j6]Alexander S. Antonov, Jack J. Dongarra, Vladimir V. Voevodin:
AlgoWiki Project as an Extension of the Top500 Methodology. Supercomput. Front. Innov. 5(1): 4-10 (2018) - [j5]Ilya V. Afanasyev, Alexander S. Antonov, Dmitry A. Nikitenko, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Osamu Watanabe, Akihiro Musa, Hiroaki Kobayashi:
Developing Efficient Implementations of Bellman-Ford and Forward-Backward Graph Algorithms for NEC SX-ACE. Supercomput. Front. Innov. 5(3): 65-69 (2018) - 2016
- [j4]Dmitry A. Suplatov, Nina Popova, Sergey A. Zhumatiy, Vladimir V. Voevodin, Vytas K. Svedas:
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) - [j3]Alexander S. Antonov, Alexey V. Frolov, Hiroaki Kobayashi, Igor N. Konshin, Alexey M. Teplov, Vadim V. Voevodin, Vladimir V. Voevodin:
Parallel Processing Model for Cholesky Decomposition Algorithm in AlgoWiki Project. Supercomput. Front. Innov. 3(3): 61-70 (2016) - 2015
- [j2]Igor Oferkin, Ekaterina V. Katkova, Alexey V. Sulimov, Danil C. Kutov, Sergey I. Sobolev, Vladimir V. Voevodin, Vladimir B. Sulimov:
Evaluation of Docking Target Functions by the Comprehensive Investigation of Protein-Ligand Energy Minima. Adv. Bioinformatics 2015: 126858:1-126858:12 (2015) - [j1]Vladimir V. Voevodin, Alexander S. Antonov, Jack J. Dongarra:
AlgoWiki: an Open Encyclopedia of Parallel Algorithmic Features. Supercomput. Front. Innov. 2(1): 4-18 (2015)
Conference and Workshop Papers
- 2020
- [c19]Dmitry A. Nikitenko, Alexander S. Antonov, Artem Zheltkov, Vladimir V. Voevodin:
Describing HPC System Architecture for Understanding Its Capabilities. RuSCDays 2020: 425-435 - [c18]Alexander S. Antonov, Vladimir V. Voevodin:
The Algorithms Properties and Structure Study as a Mandatory Element of Modern IT Education. RuSCDays 2020: 524-535 - 2019
- [c17]Ilya V. Afanasyev, Vadim V. Voevodin, Vladimir V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi:
Analysis of Relationship Between SIMD-Processing Features Used in NVIDIA GPUs and NEC SX-Aurora TSUBASA Vector Processors. PaCT 2019: 125-139 - [c16]Dmitry A. Suplatov, Yana A. Sharapova, Maksim V. Shegay, Nina N. Popova, Kateryna Fesko, Vladimir V. Voevodin, Vytas K. Svedas:
High-Performance Hybrid Computing for Bioinformatic Analysis of Protein Superfamilies. RuSCDays 2019: 249-264 - [c15]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
- [c14]Vladimir V. Voevodin, Alexander S. Antonov, Nina Popova:
Studying the Structure of Parallel Algorithms as a Key Element of High-Performance Computing Education. Euro-Par Workshops 2018: 199-210 - 2017
- [c13]Maya G. Neytcheva, Sverker Holmgren, Jonathan R. Bull, Ali Dorostkar, Anastasia Kruchinina, Dmitry A. Nikitenko, Nina Popova, Pavel A. Shvets, Alexey M. Teplov, Vadim V. Voevodin, Vladimir V. Voevodin:
Multidimensional Performance and Scalability Analysis for Diverse Applications Based on System Monitoring Data. PPAM (1) 2017: 417-431 - [c12]Ilya V. Afanasyev, Vladimir V. Voevodin:
The Comparison of Large-Scale Graph Processing Algorithms Implementation Methods for Intel KNL and NVIDIA GPU. RuSCDays 2017: 80-94 - [c11]Dmitry A. Nikitenko, Alexander S. Antonov, Pavel A. Shvets, Sergey I. Sobolev, Konstantin S. Stefanov, Vadim V. Voevodin, Vladimir V. Voevodin, Sergey A. Zhumatiy:
JobDigest - Detailed System Monitoring-Based Supercomputer Application Behavior Analysis. RuSCDays 2017: 516-529 - [c10]Vladimir V. Voevodin:
Final Parallel and Distributed Computing Assignment for Master Students: Description of the Properties and Parallel Structure of Algorithms. TopHPC 2017: 198-209 - 2016
- [c9]Dmitry A. Nikitenko, Vladimir V. Voevodin, Sergey A. Zhumatiy:
Resolving frontier problems of mastering large-scale supercomputer complexes. Conf. Computing Frontiers 2016: 349-352 - [c8]Alexander S. Antonov, Vadim V. Voevodin, Vladimir V. Voevodin, Alexey M. Teplov:
A Study of the Dynamic Characteristics of Software Implementation as an Essential Part for a Universal Description of Algorithm Properties. PDP 2016: 359-363 - 2015
- [c7]Konstantin S. Stefanov, Vladimir V. Voevodin:
Distributed Modular Monitoring (DiMMon) Approach to Supercomputer Monitoring. CLUSTER 2015: 502-503 - [c6]Vladimir V. Voevodin, Victor Gergel, Nina Popova:
Challenges of a Systematic Approach to Parallel Computing and Supercomputing Education. Euro-Par Workshops 2015: 90-101 - [c5]Alexander S. Antonov, Dmitry A. Nikitenko, Pavel A. Shvets, Sergey I. Sobolev, Konstantin S. Stefanov, Vadim V. Voevodin, Vladimir V. Voevodin, Sergey A. Zhumatiy:
An Approach for Ensuring Reliable Functioning of a Supercomputer Based on a Formal Model. PPAM (1) 2015: 12-22 - 2013
- [c4]Aamer Shah, Felix Wolf, Sergey A. Zhumatiy, Vladimir V. Voevodin:
Capturing inter-application interference on clusters. CLUSTER 2013: 1-5 - 2012
- [c3]Bernd Mohr, Vladimir V. Voevodin, Judit Giménez, Erik Hagersten, Andreas Knüpfer, Dmitry A. Nikitenko, Mats Nilsson, Harald Servat, Aamer Shah, Frank Winkler, Felix Wolf, Ilya Zhukov:
The HOPSA Workflow and Tools. Parallel Tools Workshop 2012: 127-146 - 1996
- [c2]Alexander S. Antonov, Vladimir V. Voevodin:
Application of the V-Ray Technology for Optimization of the TRFD and FL052 Perfect Club Benchmarks to CRAY Y-MP and CRAY T3D Supercomputers. EUROMICRO 1996: 127- - [c1]Valentin V. Voevodin, Vladimir V. Voevodin:
The V-ray Technology of Optimizing Programs to Parallel Computers. WNAA 1996: 546-556
Parts in Books or Collections
- 2018
- [p1]Vladimir V. Voevodin, Alexander S. Antonov, Vadim V. Voevodin:
What Do We Need to Know About Parallel Algorithms and Their Efficient Implementation? Topics in Parallel and Distributed Computing 2018: 23-58
Editorship
- 2020
- [e6]Vladimir V. Voevodin, Sergey I. Sobolev:
Supercomputing - 6th Russian Supercomputing Days, RuSCDays 2020, Moscow, Russia, September 21-22, 2020, Revised Selected Papers. Communications in Computer and Information Science 1331, Springer 2020, ISBN 978-3-030-64615-8 [contents] - 2019
- [e5]Vladimir V. Voevodin, Sergey I. Sobolev:
Supercomputing - 4th Russian Supercomputing Days, RuSCDays 2018, Moscow, Russia, September 24-25, 2018, Revised Selected Papers. Communications in Computer and Information Science 965, Springer 2019, ISBN 978-3-030-05806-7 [contents] - [e4]Vladimir V. Voevodin, Sergey I. Sobolev:
Supercomputing - 5th Russian Supercomputing Days, RuSCDays 2019, Moscow, Russia, September 23-24, 2019, Revised Selected Papers. Communications in Computer and Information Science 1129, Springer 2019, ISBN 978-3-030-36591-2 [contents] - 2018
- [e3]Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian, Thomas L. Sterling, Vladimir V. Voevodin:
Big Data and HPC: Ecosystem and Convergence, TopHPC 2017, Tehran, Iran, 24-26 April 2017. Advances in Parallel Computing 33, IOS Press 2018, ISBN 978-1-61499-881-5 [contents] - 2017
- [e2]Vladimir V. Voevodin, Sergey I. Sobolev:
Supercomputing - Third Russian Supercomputing Days, RuSCDays 2017, Moscow, Russia, September 25-26, 2017, Revised Selected Papers. Communications in Computer and Information Science 793, Springer 2017, ISBN 978-3-319-71254-3 [contents] - 2016
- [e1]Jesús Carretero, Javier García Blas, Victor Gergel, Vladimir V. Voevodin, Iosif B. Meyerov, Juan A. Rico-Gallego, Juan Carlos Díaz Martín, Pedro Alonso, Juan José Durillo, José Daniel García Sánchez, Alexey L. Lastovetsky, Fabrizio Marozzo, Qin Liu, Md. Zakirul Alam Bhuiyan, Karl Fürlinger, Josef Weidendorfer, José Gracia:
Algorithms and Architectures for Parallel Processing - ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December 14-16, 2016, Proceedings. Lecture Notes in Computer Science 10049, Springer 2016, ISBN 978-3-319-49955-0 [contents]
Informal and Other Publications
- 2024
- [i2]Dmitry A. Ivanov, Denis A. Larionov, Oleg V. Maslennikov, Vladimir V. Voevodin:
Neural Network Compression for Reinforcement Learning Tasks. CoRR abs/2405.07748 (2024) - 2016
- [i1]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, Robert J. Harrison, Michael A. Heroux, Jan S. Hesthaven, Peter K. Jimack, Chris Johnson, Kirk E. Jordan, David E. Keyes, Rolf H. Krause, Vipin Kumar, Stefan Mayer, Juan Meza, Knut Martin Mørken, J. Tinsley Oden, Linda R. Petzold, Padma Raghavan, Suzanne M. Shontz, Anne E. Trefethen, Peter R. Turner, Vladimir V. Voevodin, Barbara I. Wohlmuth, Carol S. Woodward:
Research and Education in Computational Science and Engineering. CoRR abs/1610.02608 (2016)
Coauthor Index
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