Construction of a Generalized Computational Experiment and Visual Analysis of Multidimensional Data-Reference-Cited by-同舟云学术

Construction of a Generalized Computational Experiment and Visual Analysis of Multidimensional Data

Published:2019-11-11 Issue: Volume: Page:
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Container-title:GraphiCon'2019 Proceedings. Volume 2
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Author:

Бондарев Александр¹,Bondarev Aleksandr¹,Галактионов Владимир²,Galaktionov Vladimir³

Affiliation:

1. Keldysh Institute of Applied Mathematics Russian Academy of Sciences

2. Институт прикладной математики им. В.М. Келдыша РАН

3. Institut prikladnoy matematiki im. V.M. Keldysha RAN

Abstract

The work is devoted to the problems of constructing a generalized computational experiment in the problems of computational aerodynamics. The construction of a generalized computational experiment is based on the possibility of carrying out parallel calculations of the same problem with different input data in multitasking mode. This allows carrying out parametric studies and solving problems of optimization analysis. The results of such an experiment are multidimensional arrays, for the study of which visual analytics methods should be used. The construction of a generalized experiment allows one to obtain dependences for valuable functionals on the determining parameters of the problem under consideration. The implementation of a generalized experiment allows one to obtain a solution for a class of problems in the ranges under consideration, and not just for one problem. Examples of constructing a generalized computational experiment for various classes of problems of computational aerodynamics are presented. The article also provides an example of constructing such an experiment for a comparative assessment of the accuracy of numerical methods.

Publisher

Bryansk State Technical University

Reference29 articles.

1. Aleksahin V. F., Bakhtin V. A., Zhukova O. F., KolganovA. S., Krukov V. A., Ostrovskaya I. P., Podderugina N. V.,Pritula M. N., Savitskaya O. A. “Parallelization of NASparallel benchmarks for Intel Xeon Phi coprocessor inFortran-DVMH language”, Vestn. YuUrGU. Ser. Vych.Matem. Inform., 4:4 (2015), 48–63, Aleksahin V. F., Bakhtin V. A., Zhukova O. F., KolganovA. S., Krukov V. A., Ostrovskaya I. P., Podderugina N. V.,Pritula M. N., Savitskaya O. A. “Parallelization of NASparallel benchmarks for Intel Xeon Phi coprocessor inFortran-DVMH language”, Vestn. YuUrGU. Ser. Vych.Matem. Inform., 4:4 (2015), 48–63

2. Alekseev A.K., Bondarev A.E., Kuvshinnikov A.E.Verification on the Ensemble of Independent NumericalSolutions // Lecture Notes in Computer Science, Vol.11540, pp. 315–324, 2019. DOI: 10.1007/978-3-030-22750-0_25, Alekseev A.K., Bondarev A.E., Kuvshinnikov A.E.Verification on the Ensemble of Independent NumericalSolutions // Lecture Notes in Computer Science, Vol.11540, pp. 315–324, 2019. DOI: 10.1007/978-3-030-22750-0_25

3. Andreev S.V. et al.: A Computational Technology forConstructing the Optimal Shape of a Power Plant BladeAssembly Taking into Account Structural Constraints.Programming and Computer Software, 43(6), 345-352(2017). DOI: 10.1134/S0361768817060020., Andreev S.V. et al.: A Computational Technology forConstructing the Optimal Shape of a Power Plant BladeAssembly Taking into Account Structural Constraints.Programming and Computer Software, 43(6), 345-352(2017). DOI: 10.1134/S0361768817060020.

4. Bakhtin V.A., Chetverushkin B.N., Kryukov V.A.,Shil’nikov E.V., “Extension of the DVM parallelprogramming model for clusters with heterogeneousnodes”, Doklady Mathematics, 84 (3), 879-881 (2013)., Bakhtin V.A., Chetverushkin B.N., Kryukov V.A.,Shil’nikov E.V., “Extension of the DVM parallelprogramming model for clusters with heterogeneousnodes”, Doklady Mathematics, 84 (3), 879-881 (2013).

5. Bakhtin V. A., Kolganov A. S., Krukov V. A.,Podderyugina N. V., Pritula M. N. “Mapping DVMHprograms with regular dependencies onto clusters withGPU”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4(2013), 44–56, Bakhtin V. A., Kolganov A. S., Krukov V. A.,Podderyugina N. V., Pritula M. N. “Mapping DVMHprograms with regular dependencies onto clusters withGPU”, Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4(2013), 44–56

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