Standard

Parallel computing technologies 2020. / Malyshkin, Victor.

In: Journal of Supercomputing, Vol. 78, No. 4, 03.2022, p. 6056-6059.

Research output: Contribution to journal › Editorial › peer-review

Harvard

Malyshkin, V 2022, 'Parallel computing technologies 2020', Journal of Supercomputing, vol. 78, no. 4, pp. 6056-6059. https://doi.org/10.1007/s11227-021-04014-w

APA

Malyshkin, V. (2022). Parallel computing technologies 2020. Journal of Supercomputing, 78(4), 6056-6059. https://doi.org/10.1007/s11227-021-04014-w

Vancouver

Malyshkin V. Parallel computing technologies 2020. Journal of Supercomputing. 2022 Mar;78(4):6056-6059. doi: 10.1007/s11227-021-04014-w

Author

Malyshkin, Victor. / Parallel computing technologies 2020. In: Journal of Supercomputing. 2022 ; Vol. 78, No. 4. pp. 6056-6059.

BibTeX

@article{aea6d646850f4f728634d69a36654afa,
title = "Parallel computing technologies 2020",
abstract = "Parallel computing technologies enable the solution of large-scale numerical simulation and data processing problems in science and industry. The special issue highlights a number of research fields from a wide spectrum of parallel computing technologies. The range of research problems spans from architecture-based optimizations of specific programs, through new models/algorithms that allow for natural parallel implementation, to high-level programming instruments and tools for organization of computing experiments and data processing workflows. Accumulation and automatic reuse of good solutions, generation of new solutions is a general trend at all levels.",
author = "Victor Malyshkin",
note = "Funding Information: The editorial work was partially funded by the budget project of the ICMMG SB RAS No. 0251-2021-0005. ",
year = "2022",
month = mar,
doi = "10.1007/s11227-021-04014-w",
language = "English",
volume = "78",
pages = "6056--6059",
journal = "Journal of Supercomputing",
issn = "0920-8542",
publisher = "Springer Netherlands",
number = "4",

}

RIS

TY - JOUR

T1 - Parallel computing technologies 2020

AU - Malyshkin, Victor

N1 - Funding Information: The editorial work was partially funded by the budget project of the ICMMG SB RAS No. 0251-2021-0005.

PY - 2022/3

Y1 - 2022/3

N2 - Parallel computing technologies enable the solution of large-scale numerical simulation and data processing problems in science and industry. The special issue highlights a number of research fields from a wide spectrum of parallel computing technologies. The range of research problems spans from architecture-based optimizations of specific programs, through new models/algorithms that allow for natural parallel implementation, to high-level programming instruments and tools for organization of computing experiments and data processing workflows. Accumulation and automatic reuse of good solutions, generation of new solutions is a general trend at all levels.

AB - Parallel computing technologies enable the solution of large-scale numerical simulation and data processing problems in science and industry. The special issue highlights a number of research fields from a wide spectrum of parallel computing technologies. The range of research problems spans from architecture-based optimizations of specific programs, through new models/algorithms that allow for natural parallel implementation, to high-level programming instruments and tools for organization of computing experiments and data processing workflows. Accumulation and automatic reuse of good solutions, generation of new solutions is a general trend at all levels.

UR - http://www.scopus.com/inward/record.url?scp=85116387601&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/a8e5e680-7d3d-3341-b4c3-8bbf6b5af7e1/

U2 - 10.1007/s11227-021-04014-w

DO - 10.1007/s11227-021-04014-w

M3 - Editorial

AN - SCOPUS:85116387601

VL - 78

SP - 6056

EP - 6059

JO - Journal of Supercomputing

JF - Journal of Supercomputing

SN - 0920-8542

IS - 4

ER -

ID: 34377167