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Publications in Math-Net.Ru
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A method for prediction execution time of gpu programs
Comp. nanotechnol., 8:1 (2021), 38–45
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A method for prediction dynamic characteristics of parallel programs based on static analysis
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 10:1 (2021), 20–31
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Neural network approach for mapping of parallel applications
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:1 (2020), 36–49
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Molecular dynamics in the force field FF14SB in water TIP4P-Ew, and in the force field FF15IPQ in water SPC/E$_b$: a comparative analysis on GPU and CPU
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:1 (2019), 71–88
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On the problem of predicting calculation time needed for neural network executed by means of gpu in case of convolution neural networks
Comp. nanotechnol., 2017, no. 2, 47–51
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Hybrid computing clusters to study protein structure, function and regulation
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 6:4 (2017), 74–90
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Natural models of parallel computations
Computer Research and Modeling, 7:3 (2015), 781–785
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Spectral analytical method of recognition of inexact repeats in character sequences
Proceedings of ISP RAS, 27:6 (2015), 335–344
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Performance study of graphic processors usage in computational nanotechnology problems
Comp. nanotechnol., 2014, no. 2, 5–12
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Simulation of VLSI power distribution networks on a multicore platform
Num. Meth. Prog., 10:1 (2009), 51–60
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