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Publications in Math-Net.Ru
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Methodics of Fortran-DVMH program parallelization
Keldysh Institute preprints, 2025, 076, 32 pp.
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Implementation of Private Variables Contraction Transformation of Sequential Fortran Programs for their Effective Parallelization into Computing Clusters in the SAPFOR
Num. Meth. Prog., 26:1 (2025), 58–84
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Data distribution and parallel code generation for heterogeneous computational clusters
Proceedings of ISP RAS, 34:4 (2022), 89–100
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Automated parallelization of programs for heterogeneous clusters using the SAPFOR system
Num. Meth. Prog., 23:4 (2022), 379–394
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Transformation of sequential Fortran programs for their parallelization into hybrid clusters in the SAPFOR
Num. Meth. Prog., 23:4 (2022), 288–310
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Additional parallelization of existing mpi programs using sapfor
Num. Meth. Prog., 22:4 (2021), 239–251
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An experience of applying the parallelization regions for the step-by-step parallelization of software packages using the SAPFOR system
Num. Meth. Prog., 21:4 (2020), 388–404
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Development of parallel applications using DVM-system
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 8:1 (2019), 89–106
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The fastest and energy-efficient breadth-first search algorithm on a single node with various parallel architectures according to Graph500
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 7:2 (2018), 5–21
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Parallel implementation of minimum spanning tree algorithm on CPU and GPU
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 5:3 (2016), 5–19
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Parallelization of NAS parallel benchmarks for Intel Xeon Phi coprocessor in Fortran-DVMH language
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 4:4 (2015), 48–63
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Automatic mapping of Fortran programs onto clusters with graphics processing units
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 3:3 (2014), 86–96
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Mapping DVMH-programs with regular dependencies onto clusters with GPU
Vestn. YuUrGU. Ser. Vych. Matem. Inform., 2:4 (2013), 44–56
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