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How to Reorganize Computational Science and Technologies? / Il’in, V. P.

In: Herald of the Russian Academy of Sciences, Vol. 89, No. 3, 01.05.2019, p. 250-258.

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Harvard

Il’in, VP 2019, 'How to Reorganize Computational Science and Technologies?', Herald of the Russian Academy of Sciences, vol. 89, no. 3, pp. 250-258. https://doi.org/10.1134/S1019331619030031

APA

Vancouver

Il’in VP. How to Reorganize Computational Science and Technologies? Herald of the Russian Academy of Sciences. 2019 May 1;89(3):250-258. doi: 10.1134/S1019331619030031

Author

Il’in, V. P. / How to Reorganize Computational Science and Technologies?. In: Herald of the Russian Academy of Sciences. 2019 ; Vol. 89, No. 3. pp. 250-258.

BibTeX

@article{fa20738fc4f945eb8629a5a25f228ee7,
title = "How to Reorganize Computational Science and Technologies?",
abstract = "The current era of the fourth industrial revolution is inevitably leading to a widening gap between actively and passively developing countries, and the strategy of scientific and technological breakthrough announced in the Russian Federation is the only way to achieve the status of a world power. Modern progress is based on infinite growth rates of computational and informational capacities of the post-petaflop scales, which provide previously unthinkable opportunities for acquiring new fundamental knowledge and introducing innovations in production, natural resource management, and the economic and social spheres. The key role here is played by predictive mathematical modeling of processes and phenomena, including theoretical and applied research, supercomputation, and large-scale computer experiments, operations with large data, and artificial intelligence. Emerging super problems require huge amounts of new-generation intelligent software, which is impossible without the formulation of concepts and paradigms of activity, architectural solutions, and constructive technologies. Global trends are leading to the development of integrated computing and information environments that form an instrumental environment for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with the continuous development and coordinated participation of various groups of developers, as well as widespread demand, thereby leading to the formation of a new industry with mass professions with a high level of supercomputer literacy. The listed scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams. Mathware and software of supercomputer modeling should permeate all spheres of human activity similarly to the circulatory or nervous system and transmit the value of new productive forces that improve the quality of life and ensure the sustainable development of society to become knowledgeable on intensive technologies.",
keywords = "artificial intelligence, computational methods and technologies, integrated instrumental environment, interdisciplinary problems, mathematical modeling, software, supercomputer experiment, supercomputing",
author = "Il{\textquoteright}in, {V. P.}",
year = "2019",
month = may,
day = "1",
doi = "10.1134/S1019331619030031",
language = "English",
volume = "89",
pages = "250--258",
journal = "Herald of the Russian Academy of Sciences",
issn = "1019-3316",
publisher = "Maik Nauka-Interperiodica Publishing",
number = "3",

}

RIS

TY - JOUR

T1 - How to Reorganize Computational Science and Technologies?

AU - Il’in, V. P.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - The current era of the fourth industrial revolution is inevitably leading to a widening gap between actively and passively developing countries, and the strategy of scientific and technological breakthrough announced in the Russian Federation is the only way to achieve the status of a world power. Modern progress is based on infinite growth rates of computational and informational capacities of the post-petaflop scales, which provide previously unthinkable opportunities for acquiring new fundamental knowledge and introducing innovations in production, natural resource management, and the economic and social spheres. The key role here is played by predictive mathematical modeling of processes and phenomena, including theoretical and applied research, supercomputation, and large-scale computer experiments, operations with large data, and artificial intelligence. Emerging super problems require huge amounts of new-generation intelligent software, which is impossible without the formulation of concepts and paradigms of activity, architectural solutions, and constructive technologies. Global trends are leading to the development of integrated computing and information environments that form an instrumental environment for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with the continuous development and coordinated participation of various groups of developers, as well as widespread demand, thereby leading to the formation of a new industry with mass professions with a high level of supercomputer literacy. The listed scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams. Mathware and software of supercomputer modeling should permeate all spheres of human activity similarly to the circulatory or nervous system and transmit the value of new productive forces that improve the quality of life and ensure the sustainable development of society to become knowledgeable on intensive technologies.

AB - The current era of the fourth industrial revolution is inevitably leading to a widening gap between actively and passively developing countries, and the strategy of scientific and technological breakthrough announced in the Russian Federation is the only way to achieve the status of a world power. Modern progress is based on infinite growth rates of computational and informational capacities of the post-petaflop scales, which provide previously unthinkable opportunities for acquiring new fundamental knowledge and introducing innovations in production, natural resource management, and the economic and social spheres. The key role here is played by predictive mathematical modeling of processes and phenomena, including theoretical and applied research, supercomputation, and large-scale computer experiments, operations with large data, and artificial intelligence. Emerging super problems require huge amounts of new-generation intelligent software, which is impossible without the formulation of concepts and paradigms of activity, architectural solutions, and constructive technologies. Global trends are leading to the development of integrated computing and information environments that form an instrumental environment for automating the construction of models and algorithms, their mapping onto supercomputer platforms, and the creation of comfortable interfaces for users with different professional backgrounds. Such an ecosystem is designed for a long life cycle with the continuous development and coordinated participation of various groups of developers, as well as widespread demand, thereby leading to the formation of a new industry with mass professions with a high level of supercomputer literacy. The listed scientific and technological challenges require competent organizational and infrastructural solutions, including the interdepartmental coordination of academic, educational, and production teams. Mathware and software of supercomputer modeling should permeate all spheres of human activity similarly to the circulatory or nervous system and transmit the value of new productive forces that improve the quality of life and ensure the sustainable development of society to become knowledgeable on intensive technologies.

KW - artificial intelligence

KW - computational methods and technologies

KW - integrated instrumental environment

KW - interdisciplinary problems

KW - mathematical modeling

KW - software

KW - supercomputer experiment

KW - supercomputing

UR - http://www.scopus.com/inward/record.url?scp=85070108265&partnerID=8YFLogxK

U2 - 10.1134/S1019331619030031

DO - 10.1134/S1019331619030031

M3 - Article

AN - SCOPUS:85070108265

VL - 89

SP - 250

EP - 258

JO - Herald of the Russian Academy of Sciences

JF - Herald of the Russian Academy of Sciences

SN - 1019-3316

IS - 3

ER -

ID: 21145996