Geodesic
Development of parallel applications using DVM-system
Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 8 (2019) no. 1, pp. 89-106 Cet article a éte moissonné depuis la source Math-Net.Ru

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DVM-system was designed to create parallel programs of scientific-technical computations in C-DVMH and Fortran-DVMH languages. These languages use the same model of parallel programming (DVMH-model) and are the extensions of standard C and Fortran languages by parallelism specifications, implemented as compiler directives. DVMH-model allows creating efficient parallel programs for heterogeneous computational clusters, the nodes of which use as computing devices not only universal multi-core processors but also can use attached accelerators (GPUs or Intel Xeon Phi coprocessors). This article describes the experience of parallelizing various application programs using DVM-system. The method of incremental or partial parallelization, the system's capabilities for working with unstructured grids, new tools for mapping MPI-programs to multi-core processors and accelerators are considered. The efficiency of parallel DVMH-programs on heterogeneous computing clusters K-10, K-100, Lomonosov and MVS-10P is investigated. The main advantages of DVM-approach for the development of parallel programs are described. The main features of DVM-system tools for performance analysis and functional debugging of parallel programs are presented. The directions for further development of DVM-system are determined.
Keywords: automation the development of parallel programs, DVM-system, parallelism specification directives, accelerator, GPU
Mots-clés : coprocessor, Fortran, C. 
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V. A. Bakhtin; D. A. Zaharov; A. S. Kolganov; V. A. Krukov; N. V. Podderyugina; M. N. Pritula. Development of parallel applications using DVM-system. Vestnik Ûžno-Uralʹskogo gosudarstvennogo universiteta. Seriâ Vyčislitelʹnaâ matematika i informatika, Tome 8 (2019) no. 1, pp. 89-106. http://geodesic.mathdoc.fr/item/VYURV_2019_8_1_a5/

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[6] Keldysh Institute of Applied Mathematics. Computing Resources

[7] Joint Supercomputer Center of the Russian Academy of Sciences

[8] Supercomputing Center of Lomonosov Moscow State University

[9] V. A. Bakhtin, A. S. Kolganov, V. A. Krukov, N. V. Podderugina, S. V. Polyakov, M. N. Pritula, “DVMH Model Extension for Operation with Irregular Grids”, Parallel computational technologies 2015: Proceedings of the International Scientific Conference (Archangelsk, Russia, March, 28–April, 1, 2016), Publishing of the South Ural State University, Chelyabinsk, 2016, 757

[10] C-DVMH Language, C-DVMH Compiler, Compilation, Execution and Debugging of DVMH Programs

[11] Fortran-DVMH Language. Fortran-DVMH Compiler. The Compilation, Execution and Debugging of DVMH-programs