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Publications in Math-Net.Ru
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Bottlenecks in organizing the workflows of large HPC centers
Num. Meth. Prog., 24:1 (2023), 1–9
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Hierarchical model of architecture of supercomputer systems for comparison and ranking
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:4 (2022), 5–18
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Unified approach for provision of supercomputer center resources
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 11:1 (2022), 5–14
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Preprocessing of system monitoring data for workload analysis of hpc systems
Num. Meth. Prog., 22:3 (2021), 230–238
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The Mobile Linpack: initial experience of the performance ranking for portable devices
Num. Meth. Prog., 19:4 (2018), 464–469
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Supercomputer application integral characteristics analysis for the whole queued job collection of large-scale HPS systems
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 5:4 (2016), 32–45
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Octoshell: large supercomputer complex administration system
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 5:3 (2016), 76–95
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Securing of active control and efficient autonomous operating of MSU Supercomputing Center
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 4:2 (2015), 33–43
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Overall supercomputer performance analysis based on system monitoring data
Num. Meth. Prog., 15:1 (2014), 85–97
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Examination of supercomputer system jobs flow dynamic characteristics
Num. Meth. Prog., 14:4 (2013), 104–108
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A system for the automated finding of inefficiencies and errors in parallel programs
Num. Meth. Prog., 14:3 (2013), 48–53
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Automating the location of errors and inefficiencies in parallel programs
Num. Meth. Prog., 14:2 (2013), 11–17
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Job Digest: an approach to dynamic analysis of job characteristics on supercomputers
Num. Meth. Prog., 13:4 (2012), 160–166
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HOPLANG: advancement of the monitoring data stream processing language
Num. Meth. Prog., 13:3 (2012), 126–131
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Analyzing the parallel program efficiency based on monitoring data
Num. Meth. Prog., 13:3 (2012), 97–102
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An approach to cluster system task flow monitoring, analysis, and visualization
Num. Meth. Prog., 12:4 (2011), 90–93
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