Extension of the DVM parallel programming model for clusters with heterogeneous nodes

Bakhtin, Vladimir Aleksandrovich; Kryukov, V. A.; Четверушкин, Б. Н.; Шильников, Е. В.

doi:10.1134/s1064562411060408

Cited by 15 publications

(4 citation statements)

References 5 publications

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“…There are some effective and easy ways to create such interface for parallel computations. These ways use such computational technologies as MPI (Message Passing Interface) [16] and DVM technology [17][18][19][20][21][22]. DVM technology [17][18][19][20][21][22] was elaborated in Keldysh Institute of Applied Mathematics RAS.…”

Section: Generalized Numerical Experimentsmentioning

confidence: 99%

“…These ways use such computational technologies as MPI (Message Passing Interface) [16] and DVM technology [17][18][19][20][21][22]. DVM technology [17][18][19][20][21][22] was elaborated in Keldysh Institute of Applied Mathematics RAS. DVM-system provides unified toolkit to develop parallel programs of scientific-technical calculations in C and Fortran.…”

Section: Generalized Numerical Experimentsmentioning

confidence: 99%

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Generalized Computational Experiment and Visual Analysis of Multidimensional Data

Bondarev¹,

Галактионов²

2019

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The work considers 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. This approach is a synthesis of parallel computing, multi-dimensional data processing methods and visual analysis. The application of this approach makes it possible to increase the efficiency of research for a number of applied problems of mathematical modeling.

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Section: Generalized Numerical Experimentsmentioning

confidence: 99%

Section: Generalized Numerical Experimentsmentioning

confidence: 99%

Generalized Computational Experiment and Visual Analysis of Multidimensional Data

Bondarev¹,

Галактионов²

2019

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“…There are some effective and easy ways to create such interface for parallel computations. These ways use such computational technologies as MPI (Message Passing Interface) [26] and DVM technology [1,[4][5][6][7]. DVM technology [1,[4][5][6][7] was elaborated in Keldysh Institute of Applied Mathematics RAS.…”

Section: Generalized Numerical Experimentsmentioning

confidence: 99%

“…These ways use such computational technologies as MPI (Message Passing Interface) [26] and DVM technology [1,[4][5][6][7]. DVM technology [1,[4][5][6][7] was elaborated in Keldysh Institute of Applied Mathematics RAS. DVM-system provides unified toolkit to develop parallel programs of scientific-technical calculations in C and Fortran.…”

Section: Generalized Numerical Experimentsmentioning

confidence: 99%

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

Bondarev

Галактионов²

2019

GraphiCon'2019 Proceedings. Volume 2

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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.

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Automated GPU Support in LuNA Fragmented Programming System

Nikolay

2017

Lecture Notes in Computer Science

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Extension of the DVM parallel programming model for clusters with heterogeneous nodes

Cited by 15 publications

References 5 publications

Generalized Computational Experiment and Visual Analysis of Multidimensional Data

Generalized Computational Experiment and Visual Analysis of Multidimensional Data

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

Automated GPU Support in LuNA Fragmented Programming System

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