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Publications in Math-Net.Ru |
Citations |
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2021 |
1. |
A. A. Kleimenov, N. N. Popova, “A method for prediction execution time of gpu programs”, Comp. nanotechnol., 8:1 (2021), 38–45 |
2. |
A. A. Kleymenov, N. N. Popova, “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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2020 |
3. |
N. N. Popova, M. V. Kozlov, M. V. Shubin, “Neural network approach for mapping of parallel applications”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 9:1 (2020), 36–49 |
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2019 |
4. |
D. A. Suplatov, Ya. A. Sharapova, N. N. Popova, K. E. Kopylov, Vl. V. Voevodin, V. K. Švedas, “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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2017 |
5. |
D. Yu. Buryak, N. N. Popova, “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 |
6. |
D. A. Suplatov, N. N. Popova, K. E. Kopylov, M. V. Shegay, Vl. V. Voevodin, V. K. Švedas, “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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2015 |
7. |
N. M. Ershov, N. N. Popova, “Natural models of parallel computations”, Computer Research and Modeling, 7:3 (2015), 781–785 |
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8. |
A. N. Pankratov, R. K. Tetuev, M. I. Pyatkov, V. P. Toigildin, N. N. Popova, “Spectral analytical method of recognition of inexact repeats in character sequences”, Proceedings of ISP RAS, 27:6 (2015), 335–344 |
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2014 |
9. |
N. N. Popova, N. G. Nikishin, “Performance study of graphic processors usage in computational nanotechnology problems”, Comp. nanotechnol., 2014, no. 2, 5–12 |
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2009 |
10. |
V. Yu. Voronov, N. N. Popova, “Simulation of VLSI power distribution networks on a multicore platform”, Num. Meth. Prog., 10:1 (2009), 51–60 |
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Organisations |
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