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ORCIDVadim V. Voevodin
Person information
- affiliation: Lomonosov Moscow State University, Research Computing Center, Russia
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2020 – today
- 2023
[c11]Danil Kashin, Vadim V. Voevodin
:
Verifying the Correctness of HPC Performance Monitoring Data. PaCT 2023: 197-208- 2022
- [c10]Ilya V. Afanasyev, Kazuhiko Komatsu, Dmitry I. Lichmanov, Vadim V. Voevodin, Hiroaki Kobayashi:
High-Performance GraphBLAS Backend Prototype for NEC SX-Aurora TSUBASA. IPDPS Workshops 2022: 221-229 - [c9]Denis Shaikhislamov, Vadim V. Voevodin:
Smart Clustering of HPC Applications Using Similar Job Detection Methods. PPAM (1) 2022: 209-221 - 2021
- [j9]Ilya V. Afanasyev, Vadim V. Voevodin, Kazuhiko Komatsu, Hiroaki Kobayashi:
Distributed Graph Algorithms for Multiple Vector Engines of NEC SX-Aurora TSUBASA Systems. Supercomput. Front. Innov. 8(2): 95-113 (2021) - [j8]Vadim V. Voevodin, Roman A. Chulkevich, Pavel S. Kostenetskiy, Vyacheslav I. Kozyrev, Anton K. Maliutin, Dmitry A. Nikitenko, Sergey G. Rykovanov, Artemiy B. Shamsutdinov, Yurii N. Shkandybin, Sergey A. Zhumatiy:
Administration, Monitoring and Analysis of Supercomputers in Russia: a Survey of 10 HPC Centers. Supercomput. Front. Innov. 8(3): 82-103 (2021) - [j7]Ilya V. Afanasyev, Dmitry I. Lichmanov, Vladimir Yu. Rudyak, Vadim V. Voevodin:
Efficient Implementation of Liquid Crystal Simulation Software on Modern HPC Platforms. Supercomput. Front. Innov. 8(3): 104-125 (2021)
2010 – 2019
- 2019
- [j6]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) - [j5]Denis Shaikhislamov, Andrey Sozykin, Vadim V. Voevodin:
Survey on Software Tools that Implement Deep Learning Algorithms on Intel/x86 and IBM/Power8/Power9 Platforms. Supercomput. Front. Innov. 6(4): 57-83 (2019) - [c8]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 - 2018
- [j4]Dmitry A. Nikitenko, Vadim V. Voevodin, Sergey A. Zhumatiy:
Deep Analysis of Job State Statistics on Lomonosov-2 Supercomputer. Supercomput. Front. Innov. 5(2): 4-10 (2018) - [j3]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) - [j2]Petr V. Trifanov, Valeria N. Kaneva, Sergei V. Strijhak, Mikhail A. Panteleev, Fazoil Ataullakhanov, Joanne L. Dunster, Vadim V. Voevodin, Dmitry Nechipurenko:
Developing Quasi-Steady Model for Studying Hemostatic Response Using Supercomputer Technologies. Supercomput. Front. Innov. 5(4): 67-72 (2018) - [c7]Konstantin S. Stefanov, Vadim V. Voevodin:
On-the-Fly Calculation of Performance Metrics with Adaptive Time Resolution for HPC Compute Jobs. RuSCDays 2018: 609-619 - [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 - 2017
- [c6]Denis Shaykhislamov, Vadim V. Voevodin:
An Approach for Detecting Abnormal Parallel Applications Based on Time Series Analysis Methods. PPAM (1) 2017: 359-369 - [c5]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 - [c4]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 - 2016
- [j1]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) - [c3]Dmitry A. Nikitenko, Konstantin S. Stefanov, Sergey A. Zhumatiy, Vadim V. Voevodin, Alexey M. Teplov, Pavel A. Shvets:
System Monitoring-Based Holistic Resource Utilization Analysis for Every User of a Large HPC Center. ICA3PP Workshops 2016: 305-318 - [c2]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
- [c1]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
Coauthor Index
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